2025-09-09T14:02:53.2618110Z Current runner version: '2.328.0' 2025-09-09T14:02:53.2624192Z Runner name: 'i-0735d4bd444cd5761' 2025-09-09T14:02:53.2624926Z Runner group name: 'default' 2025-09-09T14:02:53.2625744Z Machine name: 'ip-10-0-78-203' 2025-09-09T14:02:53.2628677Z ##[group]GITHUB_TOKEN Permissions 2025-09-09T14:02:53.2631005Z Contents: read 2025-09-09T14:02:53.2631524Z Metadata: read 2025-09-09T14:02:53.2632022Z Packages: read 2025-09-09T14:02:53.2632511Z ##[endgroup] 2025-09-09T14:02:53.2634370Z Secret source: Actions 2025-09-09T14:02:53.2635007Z Prepare workflow directory 2025-09-09T14:02:53.3186777Z Prepare all required actions 2025-09-09T14:02:53.3223533Z Getting action download info 2025-09-09T14:02:53.5845733Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-09-09T14:02:53.9092659Z Download action repository 'pytorch/pytorch@main' (SHA:4dd73e659a8fd4872e5f49cfd72e420fa7c4e6c9) 2025-09-09T14:03:08.7643100Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-09T14:03:09.1163085Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2025-09-09T14:03:09.3619029Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-09T14:03:09.9102913Z Getting action download info 2025-09-09T14:03:10.0943590Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (e502b6d9079a2a411c68046e8a7694b851c5df33) 2025-09-09T14:03:10.0948266Z ##[group] Inputs 2025-09-09T14:03:10.0950314Z script: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:10.0952778Z timeout: 180 2025-09-09T14:03:10.0953025Z runner: linux.g5.12xlarge.nvidia.gpu 2025-09-09T14:03:10.0953334Z upload-artifact: 2025-09-09T14:03:10.0953836Z upload-artifact-to-s3: false 2025-09-09T14:03:10.0954123Z download-artifact: 2025-09-09T14:03:10.0954353Z repository: 2025-09-09T14:03:10.0954600Z fetch-depth: 1 2025-09-09T14:03:10.0954824Z submodules: recursive 2025-09-09T14:03:10.0955054Z ref: 2025-09-09T14:03:10.0955298Z test-infra-repository: pytorch/test-infra 2025-09-09T14:03:10.0955622Z test-infra-ref: 2025-09-09T14:03:10.0955872Z use-custom-docker-registry: true 2025-09-09T14:03:10.0956188Z docker-image: pytorch/almalinux-builder 2025-09-09T14:03:10.0956516Z docker-build-dir: .ci/docker 2025-09-09T14:03:10.0956790Z gpu-arch-type: cuda 2025-09-09T14:03:10.0957036Z gpu-arch-version: 12.6 2025-09-09T14:03:10.0957276Z job-name: linux-job 2025-09-09T14:03:10.0957526Z continue-on-error: false 2025-09-09T14:03:10.0957777Z binary-matrix: 2025-09-09T14:03:10.0958002Z run-with-docker: true 2025-09-09T14:03:10.0958240Z secrets-env: 2025-09-09T14:03:10.0958457Z no-sudo: false 2025-09-09T14:03:10.0958725Z ##[endgroup] 2025-09-09T14:03:10.0959175Z Complete job name: test (CUDA 2.6, linux.g5.12xlarge.nvidia.gpu, torch==2.6.0, cuda, 12.6) / linux-job 2025-09-09T14:03:10.1778344Z A job started hook has been configured by the self-hosted runner administrator 2025-09-09T14:03:10.1915419Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-09T14:03:10.1926588Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:10.1927173Z ##[endgroup] 2025-09-09T14:03:11.5855032Z Runner Type: linux.g5.12xlarge.nvidia.gpu 2025-09-09T14:03:11.5855505Z Instance Type: g5.12xlarge 2025-09-09T14:03:11.5855762Z AMI Name: unknown 2025-09-09T14:03:11.5897246Z AMI ID: ami-05ffe3c48a9991133 2025-09-09T14:03:17.2273149Z ##[group]Run set -euxo pipefail 2025-09-09T14:03:17.2273522Z set -euxo pipefail 2025-09-09T14:03:17.2273826Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-09-09T14:03:17.2274218Z  echo "::group::Cleanup with-sudo debug output" 2025-09-09T14:03:17.2274589Z  sudo rm -rfv "${GITHUB_WORKSPACE}" 2025-09-09T14:03:17.2274907Z else 2025-09-09T14:03:17.2275169Z  echo "::group::Cleanup no-sudo debug output" 2025-09-09T14:03:17.2275536Z  rm -rfv "${GITHUB_WORKSPACE}" 2025-09-09T14:03:17.2275823Z fi 2025-09-09T14:03:17.2276027Z  2025-09-09T14:03:17.2276266Z mkdir -p "${GITHUB_WORKSPACE}" 2025-09-09T14:03:17.2276599Z echo "::endgroup::" 2025-09-09T14:03:17.2292574Z shell: /usr/bin/bash -e {0} 2025-09-09T14:03:17.2292846Z env: 2025-09-09T14:03:17.2293100Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:17.2293472Z REPOSITORY: pytorch/ao 2025-09-09T14:03:17.2293752Z PR_NUMBER: 2963 2025-09-09T14:03:17.2295724Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:17.2297746Z NO_SUDO: false 2025-09-09T14:03:17.2297964Z ##[endgroup] 2025-09-09T14:03:17.2333426Z + [[ false == \f\a\l\s\e ]] 2025-09-09T14:03:17.2343137Z + echo '::group::Cleanup with-sudo debug output' 2025-09-09T14:03:17.2349452Z ##[group]Cleanup with-sudo debug output 2025-09-09T14:03:17.2349907Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/ao/ao 2025-09-09T14:03:17.3513892Z removed directory '/home/ec2-user/actions-runner/_work/ao/ao' 2025-09-09T14:03:17.3536641Z + mkdir -p /home/ec2-user/actions-runner/_work/ao/ao 2025-09-09T14:03:17.3555030Z + echo ::endgroup:: 2025-09-09T14:03:17.3555673Z ##[endgroup] 2025-09-09T14:03:17.3689089Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-09-09T14:03:17.3689519Z with: 2025-09-09T14:03:17.3689739Z repository: pytorch/test-infra 2025-09-09T14:03:17.3690026Z path: test-infra 2025-09-09T14:03:17.3690253Z submodules: recursive 2025-09-09T14:03:17.3690689Z token: *** 2025-09-09T14:03:17.3690918Z ssh-strict: true 2025-09-09T14:03:17.3691131Z ssh-user: git 2025-09-09T14:03:17.3691360Z persist-credentials: true 2025-09-09T14:03:17.3691611Z clean: true 2025-09-09T14:03:17.3691848Z sparse-checkout-cone-mode: true 2025-09-09T14:03:17.3692130Z fetch-depth: 1 2025-09-09T14:03:17.3692347Z fetch-tags: false 2025-09-09T14:03:17.3692567Z show-progress: true 2025-09-09T14:03:17.3692817Z lfs: false 2025-09-09T14:03:17.3693026Z set-safe-directory: true 2025-09-09T14:03:17.3693276Z env: 2025-09-09T14:03:17.3693524Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:17.3693865Z REPOSITORY: pytorch/ao 2025-09-09T14:03:17.3694145Z PR_NUMBER: 2963 2025-09-09T14:03:17.3696129Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:17.3698142Z ##[endgroup] 2025-09-09T14:03:17.5154775Z Syncing repository: pytorch/test-infra 2025-09-09T14:03:17.5155455Z ##[group]Getting Git version info 2025-09-09T14:03:17.5156309Z Working directory is '/home/ec2-user/actions-runner/_work/ao/ao/test-infra' 2025-09-09T14:03:17.5156945Z [command]/usr/bin/git version 2025-09-09T14:03:17.5157211Z git version 2.47.1 2025-09-09T14:03:17.5158772Z ##[endgroup] 2025-09-09T14:03:17.5173610Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/79b20622-f06f-43ae-a41b-4e158e24625b' before making global git config changes 2025-09-09T14:03:17.5174591Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:03:17.5188553Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/test-infra 2025-09-09T14:03:17.5226791Z ##[group]Initializing the repository 2025-09-09T14:03:17.5230947Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/ao/ao/test-infra 2025-09-09T14:03:17.5492149Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-09T14:03:17.5492812Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-09T14:03:17.5493412Z hint: of your new repositories, which will suppress this warning, call: 2025-09-09T14:03:17.5493830Z hint: 2025-09-09T14:03:17.5494134Z hint: git config --global init.defaultBranch 2025-09-09T14:03:17.5494497Z hint: 2025-09-09T14:03:17.5494840Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-09T14:03:17.5495446Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-09T14:03:17.5495886Z hint: 2025-09-09T14:03:17.5496135Z hint: git branch -m 2025-09-09T14:03:17.5510918Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/ao/ao/test-infra/.git/ 2025-09-09T14:03:17.5522949Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2025-09-09T14:03:17.5572445Z ##[endgroup] 2025-09-09T14:03:17.5572895Z ##[group]Disabling automatic garbage collection 2025-09-09T14:03:17.5576784Z [command]/usr/bin/git config --local gc.auto 0 2025-09-09T14:03:17.5624120Z ##[endgroup] 2025-09-09T14:03:17.5624565Z ##[group]Setting up auth 2025-09-09T14:03:17.5629558Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:03:17.5667833Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :" 2025-09-09T14:03:17.6121664Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:03:17.6157090Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-09T14:03:17.6593978Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:03:17.6646638Z ##[endgroup] 2025-09-09T14:03:17.6647083Z ##[group]Determining the default branch 2025-09-09T14:03:17.6649753Z Retrieving the default branch name 2025-09-09T14:03:17.9482793Z Default branch 'main' 2025-09-09T14:03:17.9483916Z ##[endgroup] 2025-09-09T14:03:17.9484350Z ##[group]Fetching the repository 2025-09-09T14:03:17.9487810Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main 2025-09-09T14:03:18.3328889Z From https://github.com/pytorch/test-infra 2025-09-09T14:03:18.3329713Z * [new branch] main -> origin/main 2025-09-09T14:03:18.3360546Z ##[endgroup] 2025-09-09T14:03:18.3361004Z ##[group]Determining the checkout info 2025-09-09T14:03:18.3362074Z ##[endgroup] 2025-09-09T14:03:18.3366831Z [command]/usr/bin/git sparse-checkout disable 2025-09-09T14:03:18.3419208Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-09T14:03:18.3457201Z ##[group]Checking out the ref 2025-09-09T14:03:18.3460341Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2025-09-09T14:03:18.5024970Z Switched to a new branch 'main' 2025-09-09T14:03:18.5027374Z branch 'main' set up to track 'origin/main'. 2025-09-09T14:03:18.5040131Z ##[endgroup] 2025-09-09T14:03:18.5040591Z ##[group]Setting up auth for fetching submodules 2025-09-09T14:03:18.5045727Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:03:18.5101689Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-09T14:03:18.5151327Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-09T14:03:18.5189443Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-09T14:03:18.5225688Z ##[endgroup] 2025-09-09T14:03:18.5226431Z ##[group]Fetching submodules 2025-09-09T14:03:18.5228423Z [command]/usr/bin/git submodule sync --recursive 2025-09-09T14:03:18.5644042Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-09-09T14:03:18.6051635Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-09T14:03:18.6447373Z ##[endgroup] 2025-09-09T14:03:18.6447813Z ##[group]Persisting credentials for submodules 2025-09-09T14:03:18.6452476Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :" 2025-09-09T14:03:18.6858091Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url" 2025-09-09T14:03:18.7259600Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-09T14:03:18.7658849Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-09T14:03:18.8069408Z ##[endgroup] 2025-09-09T14:03:18.8119818Z [command]/usr/bin/git log -1 --format=%H 2025-09-09T14:03:18.8154353Z e502b6d9079a2a411c68046e8a7694b851c5df33 2025-09-09T14:03:18.8376415Z Prepare all required actions 2025-09-09T14:03:18.8376853Z Getting action download info 2025-09-09T14:03:18.9530907Z Download action repository 'pytorch/test-infra@main' (SHA:e502b6d9079a2a411c68046e8a7694b851c5df33) 2025-09-09T14:03:21.0228542Z Getting action download info 2025-09-09T14:03:21.1843881Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-09T14:03:21.4928727Z ##[group]Run ./test-infra/.github/actions/setup-linux 2025-09-09T14:03:21.4929155Z env: 2025-09-09T14:03:21.4929541Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:21.4929995Z REPOSITORY: pytorch/ao 2025-09-09T14:03:21.4930311Z PR_NUMBER: 2963 2025-09-09T14:03:21.4932562Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:21.4934638Z ##[endgroup] 2025-09-09T14:03:21.5030660Z ##[group]Run set -euo pipefail 2025-09-09T14:03:21.5031076Z set -euo pipefail 2025-09-09T14:03:21.5031428Z function get_ec2_metadata() { 2025-09-09T14:03:21.5031912Z  # Pulled from instance metadata endpoint for EC2 2025-09-09T14:03:21.5032634Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-09T14:03:21.5033457Z  category=$1 2025-09-09T14:03:21.5034440Z  curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2025-09-09T14:03:21.5035439Z } 2025-09-09T14:03:21.5035739Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-09T14:03:21.5036272Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-09T14:03:21.5036883Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-09T14:03:21.5037401Z echo "system info $(uname -a)" 2025-09-09T14:03:21.5047204Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:21.5047643Z env: 2025-09-09T14:03:21.5047932Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:21.5048504Z REPOSITORY: pytorch/ao 2025-09-09T14:03:21.5048832Z PR_NUMBER: 2963 2025-09-09T14:03:21.5050821Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:21.5053005Z ##[endgroup] 2025-09-09T14:03:21.5218352Z ami-id: ami-05ffe3c48a9991133 2025-09-09T14:03:21.5347075Z instance-id: i-0735d4bd444cd5761 2025-09-09T14:03:21.5469262Z instance-type: g5.12xlarge 2025-09-09T14:03:21.5486413Z system info Linux ip-10-0-78-203.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-09T14:03:21.5545359Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:03:21.5546508Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:03:21.5556362Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:21.5556734Z env: 2025-09-09T14:03:21.5556992Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:21.5557349Z REPOSITORY: pytorch/ao 2025-09-09T14:03:21.5557591Z PR_NUMBER: 2963 2025-09-09T14:03:21.5559525Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:21.5561510Z ##[endgroup] 2025-09-09T14:03:21.5647723Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-09T14:03:21.5648155Z if systemctl is-active --quiet docker; then 2025-09-09T14:03:21.5648533Z  echo "Docker daemon is running..."; 2025-09-09T14:03:21.5648848Z else 2025-09-09T14:03:21.5649179Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2025-09-09T14:03:21.5649582Z fi 2025-09-09T14:03:21.5657856Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:21.5658211Z env: 2025-09-09T14:03:21.5658461Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:21.5658804Z REPOSITORY: pytorch/ao 2025-09-09T14:03:21.5659053Z PR_NUMBER: 2963 2025-09-09T14:03:21.5660986Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:21.5663165Z ##[endgroup] 2025-09-09T14:03:21.5760523Z Docker daemon is running... 2025-09-09T14:03:21.6004815Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-09-09T14:03:21.6005467Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-09-09T14:03:21.6005974Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2025-09-09T14:03:21.6006569Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2025-09-09T14:03:21.6007280Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2025-09-09T14:03:21.6016738Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:21.6017099Z env: 2025-09-09T14:03:21.6017350Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:21.6017697Z REPOSITORY: pytorch/ao 2025-09-09T14:03:21.6017960Z PR_NUMBER: 2963 2025-09-09T14:03:21.6019898Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:21.6021889Z AWS_RETRY_MODE: standard 2025-09-09T14:03:21.6022149Z AWS_MAX_ATTEMPTS: 5 2025-09-09T14:03:21.6022393Z AWS_DEFAULT_REGION: us-east-1 2025-09-09T14:03:21.6022654Z ##[endgroup] 2025-09-09T14:03:22.6788848Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-09T14:03:22.6790025Z Configure a credential helper to remove this warning. See 2025-09-09T14:03:22.6791708Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-09T14:03:22.6792167Z 2025-09-09T14:03:22.6792265Z Login Succeeded 2025-09-09T14:03:22.6850940Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:22.6851515Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:22.6852004Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:22.6862096Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:22.6862473Z env: 2025-09-09T14:03:22.6862757Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:22.6863100Z REPOSITORY: pytorch/ao 2025-09-09T14:03:22.6863349Z PR_NUMBER: 2963 2025-09-09T14:03:22.6865313Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:22.6867340Z ##[endgroup] 2025-09-09T14:03:22.6987399Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-09-09T14:03:22.6987845Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-09-09T14:03:22.6988223Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-09-09T14:03:22.6988554Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-09-09T14:03:22.6988980Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:22.6989568Z  2025-09-09T14:03:22.6989862Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-09-09T14:03:22.6990265Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-09-09T14:03:22.6990619Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-09-09T14:03:22.6991108Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:22.6991540Z  2025-09-09T14:03:22.6991774Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-09-09T14:03:22.6992139Z sudo rm -rf "${RUNNER_DOCS_DIR}" 2025-09-09T14:03:22.6992463Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-09-09T14:03:22.6992847Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:22.7001088Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:22.7001433Z env: 2025-09-09T14:03:22.7001680Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:22.7002027Z REPOSITORY: pytorch/ao 2025-09-09T14:03:22.7002273Z PR_NUMBER: 2963 2025-09-09T14:03:22.7004259Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:22.7006228Z ##[endgroup] 2025-09-09T14:03:23.3203975Z ##[group]Run needs=0 2025-09-09T14:03:23.3204230Z needs=0 2025-09-09T14:03:23.3204589Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then 2025-09-09T14:03:23.3204989Z  needs=1 2025-09-09T14:03:23.3205196Z fi 2025-09-09T14:03:23.3205424Z echo "does=${needs}" >> $GITHUB_OUTPUT 2025-09-09T14:03:23.3214991Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:23.3215357Z env: 2025-09-09T14:03:23.3215603Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:23.3215943Z REPOSITORY: pytorch/ao 2025-09-09T14:03:23.3216188Z PR_NUMBER: 2963 2025-09-09T14:03:23.3218313Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:23.3220681Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:03:23.3221289Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:03:23.3221881Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:03:23.3222269Z ##[endgroup] 2025-09-09T14:03:23.3586162Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main 2025-09-09T14:03:23.3586545Z with: 2025-09-09T14:03:23.3586760Z driver-version: 580.65.06 2025-09-09T14:03:23.3587003Z env: 2025-09-09T14:03:23.3587338Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:23.3587674Z REPOSITORY: pytorch/ao 2025-09-09T14:03:23.3587914Z PR_NUMBER: 2963 2025-09-09T14:03:23.3589861Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:23.3592182Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:03:23.3592803Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:03:23.3593343Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:03:23.3593710Z ##[endgroup] 2025-09-09T14:03:23.3638906Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-09-09T14:03:23.3639288Z with: 2025-09-09T14:03:23.3639496Z timeout_minutes: 10 2025-09-09T14:03:23.3639724Z max_attempts: 3 2025-09-09T14:03:23.3666905Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-09-09T14:03:23.3694034Z retry_wait_seconds: 10 2025-09-09T14:03:23.3694295Z polling_interval_seconds: 1 2025-09-09T14:03:23.3694565Z warning_on_retry: true 2025-09-09T14:03:23.3694807Z continue_on_error: false 2025-09-09T14:03:23.3695049Z env: 2025-09-09T14:03:23.3695296Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:03:23.3695638Z REPOSITORY: pytorch/ao 2025-09-09T14:03:23.3695881Z PR_NUMBER: 2963 2025-09-09T14:03:23.3697818Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:03:23.3699941Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:03:23.3700506Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:03:23.3701031Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:03:23.3701422Z DRIVER_VERSION: 580.65.06 2025-09-09T14:03:23.3701660Z ##[endgroup] 2025-09-09T14:03:23.4585378Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.65.06.run == 2025-09-09T14:03:23.4586734Z + pre_install_nvidia_driver_amzn2 2025-09-09T14:03:23.4589905Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-09-09T14:03:23.7763807Z No match for argument: nvidia-driver-latest-dkms 2025-09-09T14:03:23.7765148Z No packages marked for removal. 2025-09-09T14:03:23.7830925Z Dependencies resolved. 2025-09-09T14:03:23.7840678Z Nothing to do. 2025-09-09T14:03:23.7840946Z Complete! 2025-09-09T14:03:23.8181899Z + install_nvidia_driver_common 2025-09-09T14:03:23.8186724Z + echo 'Before installing NVIDIA driver' 2025-09-09T14:03:23.8187027Z + lspci 2025-09-09T14:03:23.8188675Z Before installing NVIDIA driver 2025-09-09T14:03:23.8324213Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-09T14:03:23.8324722Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-09T14:03:23.8325284Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-09T14:03:23.8325824Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-09T14:03:23.8326331Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-09T14:03:23.8326872Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-09T14:03:23.8327374Z 00:1b.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:03:23.8327814Z 00:1c.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:03:23.8328248Z 00:1d.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:03:23.8328671Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:03:23.8329158Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-09T14:03:23.8329575Z + lsmod 2025-09-09T14:03:23.8379815Z Module Size Used by 2025-09-09T14:03:23.8380134Z xt_conntrack 16384 1 2025-09-09T14:03:23.8380425Z nft_chain_nat 16384 3 2025-09-09T14:03:23.8380693Z xt_MASQUERADE 20480 1 2025-09-09T14:03:23.8381009Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-09T14:03:23.8381342Z nf_conntrack_netlink 57344 0 2025-09-09T14:03:23.8381750Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-09T14:03:23.8382412Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-09T14:03:23.8382734Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-09T14:03:23.8383024Z xfrm_user 57344 1 2025-09-09T14:03:23.8383280Z xfrm_algo 16384 1 xfrm_user 2025-09-09T14:03:23.8383559Z xt_addrtype 16384 2 2025-09-09T14:03:23.8383814Z nft_compat 20480 4 2025-09-09T14:03:23.8384116Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-09T14:03:23.8384530Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-09T14:03:23.8384912Z br_netfilter 36864 0 2025-09-09T14:03:23.8385177Z bridge 323584 1 br_netfilter 2025-09-09T14:03:23.8385476Z stp 16384 1 bridge 2025-09-09T14:03:23.8385750Z llc 16384 2 bridge,stp 2025-09-09T14:03:23.8386028Z overlay 167936 0 2025-09-09T14:03:23.8386263Z tls 139264 0 2025-09-09T14:03:23.8386516Z nls_ascii 16384 1 2025-09-09T14:03:23.8386760Z nls_cp437 20480 1 2025-09-09T14:03:23.8386996Z vfat 24576 1 2025-09-09T14:03:23.8387317Z fat 86016 1 vfat 2025-09-09T14:03:23.8387573Z sunrpc 700416 1 2025-09-09T14:03:23.8387809Z i8042 45056 0 2025-09-09T14:03:23.8388035Z ena 180224 0 2025-09-09T14:03:23.8388280Z serio 28672 3 i8042 2025-09-09T14:03:23.8388540Z button 24576 0 2025-09-09T14:03:23.8388794Z ghash_clmulni_intel 16384 0 2025-09-09T14:03:23.8389051Z sch_fq_codel 20480 33 2025-09-09T14:03:23.8389303Z fuse 184320 1 2025-09-09T14:03:23.8389543Z dm_mod 188416 0 2025-09-09T14:03:23.8389914Z loop 36864 0 2025-09-09T14:03:23.8390165Z configfs 57344 1 2025-09-09T14:03:23.8390406Z dmi_sysfs 20480 0 2025-09-09T14:03:23.8390655Z crc32_pclmul 16384 0 2025-09-09T14:03:23.8390907Z crc32c_intel 24576 0 2025-09-09T14:03:23.8391157Z efivarfs 24576 1 2025-09-09T14:03:23.8391405Z + modinfo nvidia 2025-09-09T14:03:23.8406408Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-09T14:03:23.8406886Z import_ns: DMA_BUF 2025-09-09T14:03:23.8407128Z alias: char-major-195-* 2025-09-09T14:03:23.8407411Z version: 570.133.07 2025-09-09T14:03:23.8407659Z supported: external 2025-09-09T14:03:23.8407895Z license: Dual MIT/GPL 2025-09-09T14:03:23.8408184Z firmware: nvidia/570.133.07/gsp_tu10x.bin 2025-09-09T14:03:23.8408526Z firmware: nvidia/570.133.07/gsp_ga10x.bin 2025-09-09T14:03:23.8408848Z srcversion: 49515739FD8F721A3F2F714 2025-09-09T14:03:23.8409167Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-09T14:03:23.8409511Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-09T14:03:23.8409841Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-09T14:03:23.8410161Z depends: i2c-core,drm 2025-09-09T14:03:23.8410416Z retpoline: Y 2025-09-09T14:03:23.8410629Z name: nvidia 2025-09-09T14:03:23.8410992Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-09T14:03:23.8411466Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-09T14:03:23.8411925Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-09T14:03:23.8412379Z parm: NVreg_ResmanDebugLevel:int 2025-09-09T14:03:23.8412715Z parm: NVreg_RmLogonRC:int 2025-09-09T14:03:23.8413012Z parm: NVreg_ModifyDeviceFiles:int 2025-09-09T14:03:23.8413324Z parm: NVreg_DeviceFileUID:int 2025-09-09T14:03:23.8413627Z parm: NVreg_DeviceFileGID:int 2025-09-09T14:03:23.8413927Z parm: NVreg_DeviceFileMode:int 2025-09-09T14:03:23.8414290Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-09T14:03:23.8414781Z parm: NVreg_UsePageAttributeTable:int 2025-09-09T14:03:23.8415121Z parm: NVreg_EnablePCIeGen3:int 2025-09-09T14:03:23.8415416Z parm: NVreg_EnableMSI:int 2025-09-09T14:03:23.8415722Z parm: NVreg_EnableStreamMemOPs:int 2025-09-09T14:03:23.8416081Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-09T14:03:23.8416484Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-09T14:03:23.8416870Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-09T14:03:23.8417284Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-09T14:03:23.8417699Z parm: NVreg_DynamicPowerManagement:int 2025-09-09T14:03:23.8418116Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-09T14:03:23.8418553Z parm: NVreg_EnableGpuFirmware:int 2025-09-09T14:03:23.8418981Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-09T14:03:23.8419482Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-09T14:03:23.8419921Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-09T14:03:23.8420488Z parm: NVreg_MemoryPoolSize:int 2025-09-09T14:03:23.8432859Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-09T14:03:23.8433267Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-09T14:03:23.8433594Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-09T14:03:23.8433911Z parm: NVreg_NvLinkDisable:int 2025-09-09T14:03:23.8434269Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-09T14:03:23.8434643Z parm: NVreg_RegisterPCIDriver:int 2025-09-09T14:03:23.8434973Z parm: NVreg_EnableResizableBar:int 2025-09-09T14:03:23.8435322Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-09T14:03:23.8435665Z parm: NVreg_EnableNonblockingOpen:int 2025-09-09T14:03:23.8436193Z parm: NVreg_RegistryDwords:charp 2025-09-09T14:03:23.8436545Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-09T14:03:23.8436875Z parm: NVreg_RmMsg:charp 2025-09-09T14:03:23.8437171Z parm: NVreg_GpuBlacklist:charp 2025-09-09T14:03:23.8437494Z parm: NVreg_TemporaryFilePath:charp 2025-09-09T14:03:23.8437824Z parm: NVreg_ExcludedGpus:charp 2025-09-09T14:03:23.8438136Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-09T14:03:23.8438473Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-09T14:03:23.8438825Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-09T14:03:23.8439188Z parm: NVreg_ImexChannelCount:int 2025-09-09T14:03:23.8439517Z parm: NVreg_CreateImexChannel0:int 2025-09-09T14:03:23.8439861Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-09T14:03:23.8440205Z parm: rm_firmware_active:charp 2025-09-09T14:03:23.8440504Z + HAS_NVIDIA_DRIVER=0 2025-09-09T14:03:23.8440753Z ++ command -v nvidia-smi 2025-09-09T14:03:23.8441005Z + '[' -x /usr/bin/nvidia-smi ']' 2025-09-09T14:03:23.8441262Z + set +e 2025-09-09T14:03:23.8441567Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-09-09T14:03:27.2272683Z + INSTALLED_DRIVER_VERSION=570.133.07 2025-09-09T14:03:27.2273376Z + NVIDIA_SMI_STATUS=0 2025-09-09T14:03:27.2273664Z + '[' 0 -ne 0 ']' 2025-09-09T14:03:27.2273892Z + '[' 570.133.07 '!=' 580.65.06 ']' 2025-09-09T14:03:27.2274396Z + echo 'NVIDIA driver (570.133.07) has been installed, but we expect to have 580.65.06 instead. Continuing' 2025-09-09T14:03:27.2274945Z + sudo killall nvidia-persistenced 2025-09-09T14:03:27.2275426Z NVIDIA driver (570.133.07) has been installed, but we expect to have 580.65.06 instead. Continuing 2025-09-09T14:03:27.3740202Z nvidia-persistenced: no process found 2025-09-09T14:03:27.3764187Z + true 2025-09-09T14:03:27.3765439Z + set -e 2025-09-09T14:03:27.3765882Z + '[' 0 -eq 0 ']' 2025-09-09T14:03:27.3766408Z + '[' amzn2023 '!=' ubuntu20.04 ']' 2025-09-09T14:03:27.3767080Z + sudo yum groupinstall -y 'Development Tools' 2025-09-09T14:03:27.8651210Z Last metadata expiration check: 0:06:15 ago on Tue Sep 9 13:57:12 2025. 2025-09-09T14:03:27.8992407Z No match for group package "system-rpm-config" 2025-09-09T14:03:27.9007288Z No match for group package "rcs" 2025-09-09T14:03:27.9026723Z No match for group package "pkgconfig" 2025-09-09T14:03:27.9482707Z Dependencies resolved. 2025-09-09T14:03:27.9704237Z ================================================================================ 2025-09-09T14:03:27.9705066Z Package Architecture Version Repository Size 2025-09-09T14:03:27.9705835Z ================================================================================ 2025-09-09T14:03:27.9706394Z Installing Groups: 2025-09-09T14:03:27.9706947Z Development Tools 2025-09-09T14:03:27.9707575Z 2025-09-09T14:03:27.9707750Z Transaction Summary 2025-09-09T14:03:27.9708195Z ================================================================================ 2025-09-09T14:03:27.9708600Z 2025-09-09T14:03:28.1720356Z ================================================================================ 2025-09-09T14:03:28.1720702Z WARNING: 2025-09-09T14:03:28.1720943Z A newer release of "Amazon Linux" is available. 2025-09-09T14:03:28.1721180Z 2025-09-09T14:03:28.1721268Z Available Versions: 2025-09-09T14:03:28.1721426Z 2025-09-09T14:03:28.1721515Z Version 2023.8.20250707: 2025-09-09T14:03:28.1721832Z Run the following command to upgrade to 2023.8.20250707: 2025-09-09T14:03:28.1722095Z 2025-09-09T14:03:28.1722212Z dnf upgrade --releasever=2023.8.20250707 2025-09-09T14:03:28.1722432Z 2025-09-09T14:03:28.1722528Z Release notes: 2025-09-09T14:03:28.1722941Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250707.html 2025-09-09T14:03:28.1723344Z 2025-09-09T14:03:28.1723429Z Version 2023.8.20250715: 2025-09-09T14:03:28.1723942Z Run the following command to upgrade to 2023.8.20250715: 2025-09-09T14:03:28.1724215Z 2025-09-09T14:03:28.1724332Z dnf upgrade --releasever=2023.8.20250715 2025-09-09T14:03:28.1724545Z 2025-09-09T14:03:28.1724641Z Release notes: 2025-09-09T14:03:28.1725043Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250715.html 2025-09-09T14:03:28.1725434Z 2025-09-09T14:03:28.1725519Z Version 2023.8.20250721: 2025-09-09T14:03:28.1725833Z Run the following command to upgrade to 2023.8.20250721: 2025-09-09T14:03:28.1726102Z 2025-09-09T14:03:28.1726212Z dnf upgrade --releasever=2023.8.20250721 2025-09-09T14:03:28.1726426Z 2025-09-09T14:03:28.1726515Z Release notes: 2025-09-09T14:03:28.1726911Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250721.html 2025-09-09T14:03:28.1727293Z 2025-09-09T14:03:28.1727386Z Version 2023.8.20250808: 2025-09-09T14:03:28.1727687Z Run the following command to upgrade to 2023.8.20250808: 2025-09-09T14:03:28.1727958Z 2025-09-09T14:03:28.1728069Z dnf upgrade --releasever=2023.8.20250808 2025-09-09T14:03:28.1728281Z 2025-09-09T14:03:28.1728370Z Release notes: 2025-09-09T14:03:28.1728767Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250808.html 2025-09-09T14:03:28.1729149Z 2025-09-09T14:03:28.1729241Z Version 2023.8.20250818: 2025-09-09T14:03:28.1729544Z Run the following command to upgrade to 2023.8.20250818: 2025-09-09T14:03:28.1729808Z 2025-09-09T14:03:28.1729917Z dnf upgrade --releasever=2023.8.20250818 2025-09-09T14:03:28.1730129Z 2025-09-09T14:03:28.1730210Z Release notes: 2025-09-09T14:03:28.1730623Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250818.html 2025-09-09T14:03:28.1731003Z 2025-09-09T14:03:28.1731093Z Version 2023.8.20250908: 2025-09-09T14:03:28.1731390Z Run the following command to upgrade to 2023.8.20250908: 2025-09-09T14:03:28.1731653Z 2025-09-09T14:03:28.1731766Z dnf upgrade --releasever=2023.8.20250908 2025-09-09T14:03:28.1731978Z 2025-09-09T14:03:28.1732058Z Release notes: 2025-09-09T14:03:28.1732587Z https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250908.html 2025-09-09T14:03:28.1732971Z 2025-09-09T14:03:28.1733074Z ================================================================================ 2025-09-09T14:03:28.1733387Z Complete! 2025-09-09T14:03:28.2154081Z ++ uname -r 2025-09-09T14:03:28.2168713Z + sudo yum install -y 'kernel-devel-uname-r == 6.1.141-155.222.amzn2023.x86_64' 2025-09-09T14:03:28.7228529Z Last metadata expiration check: 0:06:16 ago on Tue Sep 9 13:57:12 2025. 2025-09-09T14:03:28.7462263Z Using '==' operator in reldeps can result in an undefined behavior. It is deprecated and the support will be dropped in future versions. Use '=' operator instead. 2025-09-09T14:03:28.7575347Z Package kernel-devel-6.1.141-155.222.amzn2023.x86_64 is already installed. 2025-09-09T14:03:28.8050591Z Dependencies resolved. 2025-09-09T14:03:28.8276344Z Nothing to do. 2025-09-09T14:03:28.8276632Z Complete! 2025-09-09T14:03:28.8684609Z + sudo modprobe backlight 2025-09-09T14:03:29.0447739Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-580.65.06.run 2025-09-09T14:03:33.1839055Z + set +e 2025-09-09T14:03:33.1839445Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm 2025-09-09T14:03:34.5498289Z Verifying archive integrity... OK 2025-09-09T14:03:37.3747723Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 580.65.06.................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................... 2025-09-09T14:03:38.0539208Z 2025-09-09T14:03:38.0539947Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver. 2025-09-09T14:03:38.0540536Z 2025-09-09T14:04:01.2555406Z 2025-09-09T14:04:01.2557225Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system. If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver. 2025-09-09T14:04:01.2558577Z 2025-09-09T14:04:01.2580637Z 2025-09-09T14:04:01.2582274Z WARNING: This NVIDIA driver package includes Vulkan components, but no Vulkan ICD loader was detected on this system. The NVIDIA Vulkan ICD will not function without the loader. Most distributions package the Vulkan loader; try installing the "vulkan-loader", "vulkan-icd-loader", or "libvulkan1" package. 2025-09-09T14:04:01.2583623Z 2025-09-09T14:04:13.6163301Z + NVIDIA_INSTALLATION_STATUS=0 2025-09-09T14:04:13.6163710Z + RESET_GPU=0 2025-09-09T14:04:13.6163994Z + '[' 0 -ne 0 ']' 2025-09-09T14:04:13.6166077Z ++ command -v nvidia-smi 2025-09-09T14:04:13.6170489Z + '[' -x /usr/bin/nvidia-smi ']' 2025-09-09T14:04:13.6175139Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-09-09T14:04:17.4523923Z + INSTALLED_DRIVER_VERSION=580.65.06 2025-09-09T14:04:17.4524775Z + NVIDIA_SMI_STATUS=0 2025-09-09T14:04:17.4525020Z + '[' 0 -ne 0 ']' 2025-09-09T14:04:17.4525234Z + '[' 0 -eq 1 ']' 2025-09-09T14:04:17.4525458Z + sudo rm -fv /tmp/nvidia_driver 2025-09-09T14:04:17.6522123Z removed '/tmp/nvidia_driver' 2025-09-09T14:04:17.6546466Z + set -e 2025-09-09T14:04:17.6551996Z + post_install_nvidia_driver_common 2025-09-09T14:04:17.6559616Z + sudo modprobe nvidia 2025-09-09T14:04:17.8057074Z + echo 'After installing NVIDIA driver' 2025-09-09T14:04:17.8057389Z + lspci 2025-09-09T14:04:17.8057599Z After installing NVIDIA driver 2025-09-09T14:04:17.8191659Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-09T14:04:17.8192178Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-09T14:04:17.8192776Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-09T14:04:17.8193316Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-09T14:04:17.8193822Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-09T14:04:17.8194377Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-09T14:04:17.8194872Z 00:1b.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:04:17.8195319Z 00:1c.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:04:17.8195749Z 00:1d.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:04:17.8196185Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:04:17.8196678Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-09T14:04:17.8197096Z + lsmod 2025-09-09T14:04:17.8232750Z Module Size Used by 2025-09-09T14:04:17.8233551Z nvidia_uvm 1921024 0 2025-09-09T14:04:17.8233843Z nvidia 14274560 1 nvidia_uvm 2025-09-09T14:04:17.8234142Z drm 602112 1 nvidia 2025-09-09T14:04:17.8234454Z drm_panel_orientation_quirks 32768 1 drm 2025-09-09T14:04:17.8234894Z backlight 24576 1 drm 2025-09-09T14:04:17.8235276Z i2c_core 110592 2 nvidia,drm 2025-09-09T14:04:17.8235664Z xt_conntrack 16384 1 2025-09-09T14:04:17.8235982Z nft_chain_nat 16384 3 2025-09-09T14:04:17.8236297Z xt_MASQUERADE 20480 1 2025-09-09T14:04:17.8236664Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-09T14:04:17.8237004Z nf_conntrack_netlink 57344 0 2025-09-09T14:04:17.8237445Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-09T14:04:17.8237907Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-09T14:04:17.8238217Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-09T14:04:17.8238510Z xfrm_user 57344 1 2025-09-09T14:04:17.8238775Z xfrm_algo 16384 1 xfrm_user 2025-09-09T14:04:17.8239057Z xt_addrtype 16384 2 2025-09-09T14:04:17.8239308Z nft_compat 20480 4 2025-09-09T14:04:17.8239609Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-09T14:04:17.8240027Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-09T14:04:17.8240413Z br_netfilter 36864 0 2025-09-09T14:04:17.8240683Z bridge 323584 1 br_netfilter 2025-09-09T14:04:17.8240978Z stp 16384 1 bridge 2025-09-09T14:04:17.8241253Z llc 16384 2 bridge,stp 2025-09-09T14:04:17.8241530Z overlay 167936 0 2025-09-09T14:04:17.8241768Z tls 139264 0 2025-09-09T14:04:17.8242008Z nls_ascii 16384 1 2025-09-09T14:04:17.8242244Z nls_cp437 20480 1 2025-09-09T14:04:17.8242484Z vfat 24576 1 2025-09-09T14:04:17.8242727Z fat 86016 1 vfat 2025-09-09T14:04:17.8242987Z sunrpc 700416 1 2025-09-09T14:04:17.8243226Z i8042 45056 0 2025-09-09T14:04:17.8243458Z ena 180224 0 2025-09-09T14:04:17.8243890Z serio 28672 3 i8042 2025-09-09T14:04:17.8244153Z button 24576 0 2025-09-09T14:04:17.8244401Z ghash_clmulni_intel 16384 0 2025-09-09T14:04:17.8244655Z sch_fq_codel 20480 33 2025-09-09T14:04:17.8244904Z fuse 184320 1 2025-09-09T14:04:17.8245136Z dm_mod 188416 0 2025-09-09T14:04:17.8245373Z loop 36864 0 2025-09-09T14:04:17.8245609Z configfs 57344 1 2025-09-09T14:04:17.8245853Z dmi_sysfs 20480 0 2025-09-09T14:04:17.8246282Z crc32_pclmul 16384 0 2025-09-09T14:04:17.8246530Z crc32c_intel 24576 0 2025-09-09T14:04:17.8246778Z efivarfs 24576 1 2025-09-09T14:04:17.8247023Z + modinfo nvidia 2025-09-09T14:04:17.8257168Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-09T14:04:17.8257654Z import_ns: DMA_BUF 2025-09-09T14:04:17.8257892Z alias: char-major-195-* 2025-09-09T14:04:17.8258165Z version: 580.65.06 2025-09-09T14:04:17.8258410Z supported: external 2025-09-09T14:04:17.8258660Z license: Dual MIT/GPL 2025-09-09T14:04:17.8258940Z firmware: nvidia/580.65.06/gsp_tu10x.bin 2025-09-09T14:04:17.8259277Z firmware: nvidia/580.65.06/gsp_ga10x.bin 2025-09-09T14:04:17.8259592Z srcversion: A69EBF72FC9D60E11E9A05C 2025-09-09T14:04:17.8259921Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-09-09T14:04:17.8260265Z alias: of:N*T*Cnvidia,tegra264-display 2025-09-09T14:04:17.8260613Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-09-09T14:04:17.8260958Z alias: of:N*T*Cnvidia,tegra234-display 2025-09-09T14:04:17.8261292Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-09T14:04:17.8261791Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-09T14:04:17.8262116Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-09T14:04:17.8262427Z depends: i2c-core,drm 2025-09-09T14:04:17.8262676Z retpoline: Y 2025-09-09T14:04:17.8262899Z name: nvidia 2025-09-09T14:04:17.8263253Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-09T14:04:17.8263755Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-09T14:04:17.8264212Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-09T14:04:17.8264634Z parm: NVreg_ResmanDebugLevel:int 2025-09-09T14:04:17.8264941Z parm: NVreg_RmLogonRC:int 2025-09-09T14:04:17.8265233Z parm: NVreg_ModifyDeviceFiles:int 2025-09-09T14:04:17.8265547Z parm: NVreg_DeviceFileUID:int 2025-09-09T14:04:17.8265856Z parm: NVreg_DeviceFileGID:int 2025-09-09T14:04:17.8266152Z parm: NVreg_DeviceFileMode:int 2025-09-09T14:04:17.8266526Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-09T14:04:17.8266911Z parm: NVreg_UsePageAttributeTable:int 2025-09-09T14:04:17.8267249Z parm: NVreg_EnablePCIeGen3:int 2025-09-09T14:04:17.8267613Z parm: NVreg_EnableMSI:int 2025-09-09T14:04:17.8267917Z parm: NVreg_EnableStreamMemOPs:int 2025-09-09T14:04:17.8268278Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-09T14:04:17.8268683Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-09T14:04:17.8269068Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-09T14:04:17.8269476Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-09T14:04:17.8269889Z parm: NVreg_DynamicPowerManagement:int 2025-09-09T14:04:17.8270307Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-09T14:04:17.8270722Z parm: NVreg_EnableGpuFirmware:int 2025-09-09T14:04:17.8271054Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-09T14:04:17.8271432Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-09T14:04:17.8271803Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-09T14:04:17.8272145Z parm: NVreg_MemoryPoolSize:int 2025-09-09T14:04:17.8272597Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-09T14:04:17.8272928Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-09T14:04:17.8273254Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-09T14:04:17.8273556Z parm: NVreg_NvLinkDisable:int 2025-09-09T14:04:17.8273906Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-09T14:04:17.8274265Z parm: NVreg_RegisterPCIDriver:int 2025-09-09T14:04:17.8274621Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-09-09T14:04:17.8274978Z parm: NVreg_EnableResizableBar:int 2025-09-09T14:04:17.8275320Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-09T14:04:17.8275672Z parm: NVreg_EnableNonblockingOpen:int 2025-09-09T14:04:17.8276033Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-09-09T14:04:17.8276384Z parm: NVreg_RegistryDwords:charp 2025-09-09T14:04:17.8276724Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-09T14:04:17.8277063Z parm: NVreg_RmMsg:charp 2025-09-09T14:04:17.8277368Z parm: NVreg_GpuBlacklist:charp 2025-09-09T14:04:17.8277729Z parm: NVreg_TemporaryFilePath:charp 2025-09-09T14:04:17.8278059Z parm: NVreg_ExcludedGpus:charp 2025-09-09T14:04:17.8278370Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-09T14:04:17.8278700Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-09T14:04:17.8279083Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-09T14:04:17.8279433Z parm: NVreg_ImexChannelCount:int 2025-09-09T14:04:17.8279764Z parm: NVreg_CreateImexChannel0:int 2025-09-09T14:04:17.8280106Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-09T14:04:17.8280453Z parm: rm_firmware_active:charp 2025-09-09T14:04:17.8280859Z + set +e 2025-09-09T14:04:17.8281052Z + nvidia-smi 2025-09-09T14:04:20.1613752Z Tue Sep 9 14:04:20 2025 2025-09-09T14:04:20.1614164Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:20.1614717Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:04:20.1615237Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:20.1615758Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:04:20.1616322Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:04:20.1616761Z | | | MIG M. | 2025-09-09T14:04:20.1617109Z |=========================================+========================+======================| 2025-09-09T14:04:20.1990295Z | 0 NVIDIA A10G Off | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:04:20.1991235Z | 0% 28C P0 57W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:20.1992052Z | | | N/A | 2025-09-09T14:04:20.1992860Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:20.1993771Z | 1 NVIDIA A10G Off | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:04:20.1994633Z | 0% 27C P0 55W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:20.1995365Z | | | N/A | 2025-09-09T14:04:20.1996147Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:20.1997021Z | 2 NVIDIA A10G Off | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:04:20.1997890Z | 0% 27C P0 57W / 300W | 0MiB / 23028MiB | 2% Default | 2025-09-09T14:04:20.1998569Z | | | N/A | 2025-09-09T14:04:20.1999178Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:20.1999628Z | 3 NVIDIA A10G Off | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:04:20.2000056Z | 0% 28C P0 55W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:20.2000435Z | | | N/A | 2025-09-09T14:04:20.2000824Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:20.2001115Z 2025-09-09T14:04:20.2001283Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:20.2001724Z | Processes: | 2025-09-09T14:04:20.2002174Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:04:20.2002607Z | ID ID Usage | 2025-09-09T14:04:20.2002948Z |=========================================================================================| 2025-09-09T14:04:20.2018349Z | No running processes found | 2025-09-09T14:04:20.2018841Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:21.8751906Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-09-09T14:04:24.1960806Z NVIDIA A10G 2025-09-09T14:04:25.2890631Z + NVIDIA_SMI_STATUS=0 2025-09-09T14:04:25.2890909Z + '[' 0 -eq 0 ']' 2025-09-09T14:04:25.2891147Z + echo 'INFO: Ignoring allowed status 0' 2025-09-09T14:04:25.2891825Z + set -e 2025-09-09T14:04:25.2892038Z INFO: Ignoring allowed status 0 2025-09-09T14:04:25.2904457Z == Installing nvidia container toolkit for amzn2023 == 2025-09-09T14:04:25.2909308Z + sudo yum install -y yum-utils 2025-09-09T14:04:25.7551370Z Last metadata expiration check: 0:07:13 ago on Tue Sep 9 13:57:12 2025. 2025-09-09T14:04:25.7801100Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-09-09T14:04:25.8266224Z Dependencies resolved. 2025-09-09T14:04:25.8492972Z Nothing to do. 2025-09-09T14:04:25.8493411Z Complete! 2025-09-09T14:04:25.8911611Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-09-09T14:04:25.8912178Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:04:25.8913067Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:04:26.2042232Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:04:26.2526893Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-09-09T14:04:26.7756293Z nvidia-container-toolkit 18 kB/s | 833 B 00:00 2025-09-09T14:04:26.8006831Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed. 2025-09-09T14:04:26.8012912Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed. 2025-09-09T14:04:26.8016744Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed. 2025-09-09T14:04:26.8023381Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed. 2025-09-09T14:04:26.8495527Z Dependencies resolved. 2025-09-09T14:04:26.8719607Z Nothing to do. 2025-09-09T14:04:26.8719928Z Complete! 2025-09-09T14:04:26.9143863Z + sudo systemctl restart docker 2025-09-09T14:04:45.6292698Z Tue Sep 9 14:04:45 2025 2025-09-09T14:04:45.6293092Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:45.6293637Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:04:45.6294444Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:45.6294953Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:04:45.6295831Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:04:45.6296682Z | | | MIG M. | 2025-09-09T14:04:45.6297336Z |=========================================+========================+======================| 2025-09-09T14:04:45.6647920Z | 0 NVIDIA A10G On | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:04:45.6648718Z | 0% 28C P0 57W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:45.6649446Z | | | N/A | 2025-09-09T14:04:45.6650158Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:45.6650970Z | 1 NVIDIA A10G On | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:04:45.6651744Z | 0% 27C P0 55W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:45.6652410Z | | | N/A | 2025-09-09T14:04:45.6653122Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:45.6653921Z | 2 NVIDIA A10G On | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:04:45.6654712Z | 0% 28C P0 57W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:04:45.6655727Z | | | N/A | 2025-09-09T14:04:45.6656253Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:45.6656702Z | 3 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:04:45.6657124Z | 0% 27C P0 51W / 300W | 0MiB / 23028MiB | 2% Default | 2025-09-09T14:04:45.6657602Z | | | N/A | 2025-09-09T14:04:45.6658215Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:04:45.6658972Z 2025-09-09T14:04:45.6659567Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:45.6660168Z | Processes: | 2025-09-09T14:04:45.6660682Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:04:45.6661344Z | ID ID Usage | 2025-09-09T14:04:45.6661787Z |=========================================================================================| 2025-09-09T14:04:45.6678626Z | No running processes found | 2025-09-09T14:04:45.6679135Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:04:46.3064270Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-09-09T14:04:46.5575593Z 3.13: Pulling from docker/library/python 2025-09-09T14:04:46.6580129Z 15b1d8a5ff03: Pulling fs layer 2025-09-09T14:04:46.6580854Z 22718812f617: Pulling fs layer 2025-09-09T14:04:46.6581535Z 401a98f7495b: Pulling fs layer 2025-09-09T14:04:46.6582255Z ad446e7df19a: Pulling fs layer 2025-09-09T14:04:46.6582775Z 5d32990caa16: Pulling fs layer 2025-09-09T14:04:46.6583309Z a79d633abf9a: Pulling fs layer 2025-09-09T14:04:46.6583824Z 249a56c8e466: Pulling fs layer 2025-09-09T14:04:46.6584301Z 5d32990caa16: Waiting 2025-09-09T14:04:46.6584743Z a79d633abf9a: Waiting 2025-09-09T14:04:46.6585158Z 249a56c8e466: Waiting 2025-09-09T14:04:46.6585947Z ad446e7df19a: Waiting 2025-09-09T14:04:46.7740167Z 22718812f617: Verifying Checksum 2025-09-09T14:04:46.7740810Z 22718812f617: Download complete 2025-09-09T14:04:46.8518017Z 15b1d8a5ff03: Verifying Checksum 2025-09-09T14:04:46.8518313Z 15b1d8a5ff03: Download complete 2025-09-09T14:04:46.8757230Z 401a98f7495b: Verifying Checksum 2025-09-09T14:04:46.8757525Z 401a98f7495b: Download complete 2025-09-09T14:04:46.9440838Z 5d32990caa16: Verifying Checksum 2025-09-09T14:04:46.9441132Z 5d32990caa16: Download complete 2025-09-09T14:04:46.9961557Z 249a56c8e466: Verifying Checksum 2025-09-09T14:04:46.9961848Z 249a56c8e466: Download complete 2025-09-09T14:04:47.0089376Z a79d633abf9a: Verifying Checksum 2025-09-09T14:04:47.0089717Z a79d633abf9a: Download complete 2025-09-09T14:04:47.7218633Z ad446e7df19a: Verifying Checksum 2025-09-09T14:04:47.7219057Z ad446e7df19a: Download complete 2025-09-09T14:04:48.6017562Z 15b1d8a5ff03: Pull complete 2025-09-09T14:04:49.3165728Z 22718812f617: Pull complete 2025-09-09T14:04:51.8016651Z 401a98f7495b: Pull complete 2025-09-09T14:04:58.8046827Z ad446e7df19a: Pull complete 2025-09-09T14:04:59.1771552Z 5d32990caa16: Pull complete 2025-09-09T14:04:59.9422346Z a79d633abf9a: Pull complete 2025-09-09T14:04:59.9682647Z 249a56c8e466: Pull complete 2025-09-09T14:04:59.9821160Z Digest: sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc 2025-09-09T14:04:59.9862894Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-09-09T14:05:05.7603829Z Tue Sep 9 14:05:05 2025 2025-09-09T14:05:05.7604219Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:05:05.7604739Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:05:05.7605581Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:05:05.7606111Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:05:05.7606664Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:05:05.7607105Z | | | MIG M. | 2025-09-09T14:05:05.7607445Z |=========================================+========================+======================| 2025-09-09T14:05:05.8233406Z | 0 NVIDIA A10G On | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:05:05.8233948Z | 0% 25C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:05:05.8234352Z | | | N/A | 2025-09-09T14:05:05.8234763Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:05:05.8235224Z | 1 NVIDIA A10G On | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:05:05.8235661Z | 0% 24C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:05:05.8236043Z | | | N/A | 2025-09-09T14:05:05.8236443Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:05:05.8236891Z | 2 NVIDIA A10G On | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:05:05.8237335Z | 0% 25C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:05:05.8237714Z | | | N/A | 2025-09-09T14:05:05.8238122Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:05:05.8238591Z | 3 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:05:05.8239261Z | 0% 25C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:05:05.8239647Z | | | N/A | 2025-09-09T14:05:05.8240046Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:05:05.8261178Z 2025-09-09T14:05:05.8261547Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:05:05.8262007Z | Processes: | 2025-09-09T14:05:05.8262458Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:05:05.8262888Z | ID ID Usage | 2025-09-09T14:05:05.8263239Z |=========================================================================================| 2025-09-09T14:05:05.8299068Z | No running processes found | 2025-09-09T14:05:05.8299573Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:05:07.5134051Z Command completed after 1 attempt(s). 2025-09-09T14:05:07.5230429Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-09T14:05:07.5230990Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-09T14:05:07.5231401Z # shellcheck disable=SC2046 2025-09-09T14:05:07.5231714Z docker stop $(docker ps -q) || true 2025-09-09T14:05:07.5232052Z # Prune all of the docker images 2025-09-09T14:05:07.5232359Z docker system prune -af 2025-09-09T14:05:07.5248404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:05:07.5248933Z env: 2025-09-09T14:05:07.5249195Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:07.5249539Z REPOSITORY: pytorch/ao 2025-09-09T14:05:07.5249804Z PR_NUMBER: 2963 2025-09-09T14:05:07.5251768Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:07.5253895Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:07.5254468Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:07.5255001Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:07.5255441Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:07.5255779Z ##[endgroup] 2025-09-09T14:05:07.5604725Z "docker stop" requires at least 1 argument. 2025-09-09T14:05:07.5605114Z See 'docker stop --help'. 2025-09-09T14:05:07.5605279Z 2025-09-09T14:05:07.5605442Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-09T14:05:07.5605706Z 2025-09-09T14:05:07.5605809Z Stop one or more running containers 2025-09-09T14:05:08.8296249Z Deleted Images: 2025-09-09T14:05:08.8296569Z untagged: public.ecr.aws/docker/library/python:3.13 2025-09-09T14:05:08.8297266Z untagged: public.ecr.aws/docker/library/python@sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc 2025-09-09T14:05:08.8298067Z deleted: sha256:77f2b24be2b3987f6d59918787d226acb4e6612644bacb3dd37adc494e477d9e 2025-09-09T14:05:08.8298680Z deleted: sha256:1b9aa91044866f8707424c8fe367f924a48557eac69f7485fd6d2a3a116c74d5 2025-09-09T14:05:08.8299322Z deleted: sha256:b86402d18e73d4825a3bd2a09244a93487ba4687ca7c9dcba0f73e160840845c 2025-09-09T14:05:08.8299936Z deleted: sha256:5755f8963eb047a0086073c3a7dd0731296d6751a7445f3693a52b30020a5b65 2025-09-09T14:05:08.8300803Z deleted: sha256:7f33dbfa9475d25622f49ed51f4164c97de1303331c77dfdc738e084d100f50c 2025-09-09T14:05:08.8301415Z deleted: sha256:19daa38049795ba2c166dd898c81b17e31f4b5f98c1337846c6515fff97d8782 2025-09-09T14:05:08.8302030Z deleted: sha256:483bd23b5d7e66fc0f8a92dbfacc3d72fad97ef47dd4767889979a803bc1f5b8 2025-09-09T14:05:08.8302661Z deleted: sha256:185e04da9d947141fd703dbf36361bdc2ff77cc27cbf500fb9f4881cb5ddbe95 2025-09-09T14:05:08.8303028Z 2025-09-09T14:05:08.8593232Z Total reclaimed space: 1.109GB 2025-09-09T14:05:08.8682791Z ##[group]Run ./test-infra/.github/actions/setup-ssh 2025-09-09T14:05:08.8683129Z with: 2025-09-09T14:05:08.8684015Z github-secret: *** 2025-09-09T14:05:08.8684761Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-09T14:05:08.8685579Z activate-with-label: false 2025-09-09T14:05:08.8685858Z label: with-ssh 2025-09-09T14:05:08.8686096Z remove-existing-keys: true 2025-09-09T14:05:08.8686380Z fail-silently: true 2025-09-09T14:05:08.8686602Z env: 2025-09-09T14:05:08.8686862Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:08.8687239Z REPOSITORY: pytorch/ao 2025-09-09T14:05:08.8687482Z PR_NUMBER: 2963 2025-09-09T14:05:08.8689450Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:08.8691742Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:08.8692315Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:08.8692844Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:08.8693275Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:08.8693609Z ##[endgroup] 2025-09-09T14:05:08.9799344Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-09T14:05:09.4855706Z Grabbing public ssh keys from https://github.com/andrewor14.keys 2025-09-09T14:05:09.5694929Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh 2025-09-09T14:05:09.5709004Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys 2025-09-09T14:05:09.5749942Z Login using: ssh ec2-user@ec2-34-239-171-216.compute-1.amazonaws.com 2025-09-09T14:05:09.5750698Z All testing is done inside the container, to start an interactive session run: 2025-09-09T14:05:09.5751248Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-09T14:05:09.5909497Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-09-09T14:05:09.5909911Z with: 2025-09-09T14:05:09.5910124Z repository: pytorch/ao 2025-09-09T14:05:09.5910374Z ref: refs/pull/2963/merge 2025-09-09T14:05:09.5910630Z path: pytorch/ao 2025-09-09T14:05:09.5910852Z fetch-depth: 1 2025-09-09T14:05:09.5911072Z submodules: recursive 2025-09-09T14:05:09.5911415Z token: *** 2025-09-09T14:05:09.5911614Z ssh-strict: true 2025-09-09T14:05:09.5911829Z ssh-user: git 2025-09-09T14:05:09.5912074Z persist-credentials: true 2025-09-09T14:05:09.5912353Z clean: true 2025-09-09T14:05:09.5912579Z sparse-checkout-cone-mode: true 2025-09-09T14:05:09.5912866Z fetch-tags: false 2025-09-09T14:05:09.5913086Z show-progress: true 2025-09-09T14:05:09.5913306Z lfs: false 2025-09-09T14:05:09.5913535Z set-safe-directory: true 2025-09-09T14:05:09.5913769Z env: 2025-09-09T14:05:09.5914017Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:09.5914390Z REPOSITORY: pytorch/ao 2025-09-09T14:05:09.5914631Z PR_NUMBER: 2963 2025-09-09T14:05:09.5916574Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:09.5918703Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:09.5919275Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:09.5919817Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:09.5920264Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:09.5920598Z ##[endgroup] 2025-09-09T14:05:09.6902514Z Syncing repository: pytorch/ao 2025-09-09T14:05:09.6910702Z ##[group]Getting Git version info 2025-09-09T14:05:09.6911164Z Working directory is '/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao' 2025-09-09T14:05:09.6936867Z [command]/usr/bin/git version 2025-09-09T14:05:09.6988086Z git version 2.47.1 2025-09-09T14:05:09.7013870Z ##[endgroup] 2025-09-09T14:05:09.7038555Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c1c5359d-93f1-4040-b4ec-cab0d3c77925' before making global git config changes 2025-09-09T14:05:09.7039494Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:05:09.7044241Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao 2025-09-09T14:05:09.7082893Z ##[group]Initializing the repository 2025-09-09T14:05:09.7087526Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao 2025-09-09T14:05:09.7135056Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-09T14:05:09.7135659Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-09T14:05:09.7136216Z hint: of your new repositories, which will suppress this warning, call: 2025-09-09T14:05:09.7136612Z hint: 2025-09-09T14:05:09.7136883Z hint: git config --global init.defaultBranch 2025-09-09T14:05:09.7137213Z hint: 2025-09-09T14:05:09.7137542Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-09T14:05:09.7138089Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-09T14:05:09.7138509Z hint: 2025-09-09T14:05:09.7138713Z hint: git branch -m 2025-09-09T14:05:09.7139209Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/.git/ 2025-09-09T14:05:09.7147221Z [command]/usr/bin/git remote add origin https://github.com/pytorch/ao 2025-09-09T14:05:09.7183832Z ##[endgroup] 2025-09-09T14:05:09.7184539Z ##[group]Disabling automatic garbage collection 2025-09-09T14:05:09.7187952Z [command]/usr/bin/git config --local gc.auto 0 2025-09-09T14:05:09.7226758Z ##[endgroup] 2025-09-09T14:05:09.7227528Z ##[group]Setting up auth 2025-09-09T14:05:09.7231481Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:05:09.7270708Z [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' || :" 2025-09-09T14:05:09.7692622Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:05:09.7727671Z [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' || :" 2025-09-09T14:05:09.8147655Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:05:09.8200636Z ##[endgroup] 2025-09-09T14:05:09.8201025Z ##[group]Fetching the repository 2025-09-09T14:05:09.8207942Z [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 2025-09-09T14:05:10.5727752Z From https://github.com/pytorch/ao 2025-09-09T14:05:10.5728169Z * [new ref] refs/pull/2963/merge -> pull/2963/merge 2025-09-09T14:05:10.5757955Z ##[endgroup] 2025-09-09T14:05:10.5758364Z ##[group]Determining the checkout info 2025-09-09T14:05:10.5759455Z ##[endgroup] 2025-09-09T14:05:10.5764433Z [command]/usr/bin/git sparse-checkout disable 2025-09-09T14:05:10.5806698Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-09T14:05:10.5839308Z ##[group]Checking out the ref 2025-09-09T14:05:10.5842432Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/2963/merge 2025-09-09T14:05:10.7209000Z Note: switching to 'refs/remotes/pull/2963/merge'. 2025-09-09T14:05:10.7209278Z 2025-09-09T14:05:10.7209960Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-09T14:05:10.7210486Z changes and commit them, and you can discard any commits you make in this 2025-09-09T14:05:10.7211039Z state without impacting any branches by switching back to a branch. 2025-09-09T14:05:10.7211352Z 2025-09-09T14:05:10.7211560Z If you want to create a new branch to retain commits you create, you may 2025-09-09T14:05:10.7212039Z do so (now or later) by using -c with the switch command. Example: 2025-09-09T14:05:10.7212339Z 2025-09-09T14:05:10.7212466Z git switch -c 2025-09-09T14:05:10.7212683Z 2025-09-09T14:05:10.7212787Z Or undo this operation with: 2025-09-09T14:05:10.7212969Z 2025-09-09T14:05:10.7213393Z git switch - 2025-09-09T14:05:10.7213520Z 2025-09-09T14:05:10.7213758Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-09T14:05:10.7214113Z 2025-09-09T14:05:10.7214506Z HEAD is now at 7c05f81 Merge c21284c127b039bc49cc7ffda0e692894ed3b094 into 8b72284fd363b5c096de93fb7ac9cc960a6a601e 2025-09-09T14:05:10.7229521Z ##[endgroup] 2025-09-09T14:05:10.7229923Z ##[group]Setting up auth for fetching submodules 2025-09-09T14:05:10.7235356Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:05:10.7286825Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-09T14:05:10.7320157Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-09T14:05:10.7359931Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-09T14:05:10.7392562Z ##[endgroup] 2025-09-09T14:05:10.7393084Z ##[group]Fetching submodules 2025-09-09T14:05:10.7394787Z [command]/usr/bin/git submodule sync --recursive 2025-09-09T14:05:10.7817024Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-09-09T14:05:10.8216576Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third_party/cutlass' 2025-09-09T14:05:10.8253242Z Cloning into '/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/third_party/cutlass'... 2025-09-09T14:05:12.6984314Z From https://github.com/NVIDIA/cutlass 2025-09-09T14:05:12.6984810Z * branch e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 -> FETCH_HEAD 2025-09-09T14:05:13.4730439Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-09T14:05:13.4782377Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-09T14:05:13.5184407Z Entering 'third_party/cutlass' 2025-09-09T14:05:13.5278020Z ##[endgroup] 2025-09-09T14:05:13.5278444Z ##[group]Persisting credentials for submodules 2025-09-09T14:05:13.5283784Z [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' || :" 2025-09-09T14:05:13.5675759Z Entering 'third_party/cutlass' 2025-09-09T14:05:13.5783293Z [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" 2025-09-09T14:05:13.6173655Z Entering 'third_party/cutlass' 2025-09-09T14:05:13.6256401Z file:/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-09T14:05:13.6327480Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-09T14:05:13.6715108Z Entering 'third_party/cutlass' 2025-09-09T14:05:13.6808746Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-09T14:05:13.7191334Z Entering 'third_party/cutlass' 2025-09-09T14:05:13.7273894Z ##[endgroup] 2025-09-09T14:05:13.7318253Z [command]/usr/bin/git log -1 --format=%H 2025-09-09T14:05:13.7347913Z 7c05f811b89289f7be3e0e3546626827f2cc1ca4 2025-09-09T14:05:13.7570268Z Prepare all required actions 2025-09-09T14:05:13.7570667Z Getting action download info 2025-09-09T14:05:13.9187019Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-09T14:05:14.0966105Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image 2025-09-09T14:05:14.0966478Z with: 2025-09-09T14:05:14.0966708Z use-custom-docker-registry: true 2025-09-09T14:05:14.0967084Z docker-image-name: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.0967459Z docker-build-dir: .ci/docker 2025-09-09T14:05:14.0967952Z working-directory: pytorch/ao 2025-09-09T14:05:14.0968239Z docker-build-script: ./build.sh 2025-09-09T14:05:14.0968623Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.0969005Z force-push: false 2025-09-09T14:05:14.0969233Z env: 2025-09-09T14:05:14.0969475Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.0969829Z REPOSITORY: pytorch/ao 2025-09-09T14:05:14.0970125Z PR_NUMBER: 2963 2025-09-09T14:05:14.0972078Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:14.0974216Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:14.0974795Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:14.0975353Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:14.0975791Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:14.0976148Z ##[endgroup] 2025-09-09T14:05:14.1005864Z ##[group]Run set -ex 2025-09-09T14:05:14.1006149Z set -ex 2025-09-09T14:05:14.1006347Z  2025-09-09T14:05:14.1006725Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-09T14:05:14.1007357Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-09T14:05:14.1007910Z # job could then download the pre-built image as usual 2025-09-09T14:05:14.1008576Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-09T14:05:14.1009195Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1009515Z else 2025-09-09T14:05:14.1009752Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1010185Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1010569Z  2025-09-09T14:05:14.1011105Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-09T14:05:14.1011714Z  exit 0 2025-09-09T14:05:14.1011913Z fi 2025-09-09T14:05:14.1012103Z  2025-09-09T14:05:14.1012418Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-09T14:05:14.1012999Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-09T14:05:14.1013519Z  # use it as it is, but first let's extract the tag 2025-09-09T14:05:14.1013976Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-09T14:05:14.1014472Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1014931Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1015320Z else 2025-09-09T14:05:14.1015769Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-09T14:05:14.1016142Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-09T14:05:14.1016522Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-09T14:05:14.1016837Z  fi 2025-09-09T14:05:14.1017279Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-09T14:05:14.1017869Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1018489Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1019279Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:05:14.1019693Z fi 2025-09-09T14:05:14.1029025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:05:14.1029391Z env: 2025-09-09T14:05:14.1029649Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.1030010Z REPOSITORY: pytorch/ao 2025-09-09T14:05:14.1030279Z PR_NUMBER: 2963 2025-09-09T14:05:14.1032230Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:14.1034394Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:14.1034986Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:14.1035534Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:14.1035980Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:14.1036339Z REPO_NAME: ao 2025-09-09T14:05:14.1036632Z DOCKER_IMAGE_NAME: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.1037018Z DOCKER_BUILD_DIR: .ci/docker 2025-09-09T14:05:14.1037292Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-09T14:05:14.1037677Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.1038082Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-09T14:05:14.1038365Z CUSTOM_TAG_PREFIX: 2025-09-09T14:05:14.1038600Z ##[endgroup] 2025-09-09T14:05:14.1071957Z + [[ -d .ci/docker ]] 2025-09-09T14:05:14.1072201Z + echo skip=true 2025-09-09T14:05:14.1072498Z + echo docker-image=pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.1073228Z + echo 'Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ao repo...' 2025-09-09T14:05:14.1073803Z + exit 0 2025-09-09T14:05:14.1074248Z Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ao repo... 2025-09-09T14:05:14.1120172Z ##[group]Run set -eux 2025-09-09T14:05:14.1120434Z set -eux 2025-09-09T14:05:14.1120831Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-09T14:05:14.1121952Z 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 2025-09-09T14:05:14.1131740Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:05:14.1132103Z env: 2025-09-09T14:05:14.1132370Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.1145272Z REPOSITORY: pytorch/ao 2025-09-09T14:05:14.1145559Z PR_NUMBER: 2963 2025-09-09T14:05:14.1147990Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:14.1150138Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:14.1150714Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:14.1151244Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:14.1151841Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:14.1152181Z ##[endgroup] 2025-09-09T14:05:14.1185931Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-09T14:05:14.1186682Z + jq --raw-output .SecretString 2025-09-09T14:05:14.1188675Z + jq -r .docker_hub_readonly_token 2025-09-09T14:05:14.1189532Z + docker login --username pytorchbot --password-stdin 2025-09-09T14:05:14.7082774Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-09T14:05:14.7083368Z Configure a credential helper to remove this warning. See 2025-09-09T14:05:14.7083936Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-09T14:05:14.7084314Z 2025-09-09T14:05:14.7084978Z Login Succeeded 2025-09-09T14:05:14.7183351Z Prepare all required actions 2025-09-09T14:05:14.7225528Z ##[group]Run ./test-infra/.github/actions/pull-docker-image 2025-09-09T14:05:14.7225887Z with: 2025-09-09T14:05:14.7226151Z docker-image: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.7226595Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.7226968Z env: 2025-09-09T14:05:14.7227226Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.7227663Z REPOSITORY: pytorch/ao 2025-09-09T14:05:14.7227918Z PR_NUMBER: 2963 2025-09-09T14:05:14.7229885Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:14.7232011Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:14.7232579Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:14.7233128Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:14.7233574Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:14.7233913Z ##[endgroup] 2025-09-09T14:05:14.7260020Z ##[group]Run set -x 2025-09-09T14:05:14.7260297Z set -x 2025-09-09T14:05:14.7260518Z set +e 2025-09-09T14:05:14.7260722Z  2025-09-09T14:05:14.7260931Z login() { 2025-09-09T14:05:14.7261397Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-09T14:05:14.7261927Z } 2025-09-09T14:05:14.7262123Z  2025-09-09T14:05:14.7262339Z retry () { 2025-09-09T14:05:14.7262621Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-09T14:05:14.7262923Z } 2025-09-09T14:05:14.7263125Z  2025-09-09T14:05:14.7263365Z retry login "${DOCKER_REGISTRY}" 2025-09-09T14:05:14.7263688Z  2025-09-09T14:05:14.7264162Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-09T14:05:14.7264824Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-09T14:05:14.7265190Z  2025-09-09T14:05:14.7265401Z set -e 2025-09-09T14:05:14.7265741Z # ignore output since only exit code is used for conditional 2025-09-09T14:05:14.7266225Z # only pull docker image if it's not available locally 2025-09-09T14:05:14.7266773Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-09T14:05:14.7267253Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-09T14:05:14.7267661Z fi 2025-09-09T14:05:14.7279581Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:05:14.7279956Z env: 2025-09-09T14:05:14.7280210Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:14.7280771Z REPOSITORY: pytorch/ao 2025-09-09T14:05:14.7281036Z PR_NUMBER: 2963 2025-09-09T14:05:14.7283209Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:05:14.7285576Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:05:14.7286370Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:05:14.7286919Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:05:14.7287384Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:05:14.7287832Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.7288209Z ##[endgroup] 2025-09-09T14:05:14.7318806Z + set +e 2025-09-09T14:05:14.7319288Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.7319708Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:14.7323518Z + aws ecr get-login-password --region us-east-1 2025-09-09T14:05:14.7324349Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:05:15.2856693Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-09T14:05:15.2857279Z Configure a credential helper to remove this warning. See 2025-09-09T14:05:15.2857854Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-09T14:05:15.2858233Z 2025-09-09T14:05:15.2858505Z Login Succeeded 2025-09-09T14:05:15.2892333Z ++ docker manifest inspect pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:15.2893347Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-09T14:05:15.4501987Z + IMAGE_SIZE=7943.772059440613 2025-09-09T14:05:15.4502344Z + echo 'Compressed size of image in MB: 7943.772059440613' 2025-09-09T14:05:15.4502689Z + set -e 2025-09-09T14:05:15.4502927Z Compressed size of image in MB: 7943.772059440613 2025-09-09T14:05:15.4503367Z + docker inspect --type=image pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:15.4668259Z + retry docker pull pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:15.4668667Z + docker pull pytorch/almalinux-builder:cuda12.6 2025-09-09T14:05:15.6518384Z cuda12.6: Pulling from pytorch/almalinux-builder 2025-09-09T14:05:15.6518744Z 19877a9af8e3: Pulling fs layer 2025-09-09T14:05:15.6519577Z 3b95f7accc18: Pulling fs layer 2025-09-09T14:05:15.6520031Z 09fcdf4cf4fd: Pulling fs layer 2025-09-09T14:05:15.6520336Z 17af5086235f: Pulling fs layer 2025-09-09T14:05:15.6520592Z c3175a707c2d: Pulling fs layer 2025-09-09T14:05:15.6520875Z 550b3c83242f: Pulling fs layer 2025-09-09T14:05:15.6521145Z 018f40a634ae: Pulling fs layer 2025-09-09T14:05:15.6521403Z 4f4fb700ef54: Pulling fs layer 2025-09-09T14:05:15.6521665Z cabce7a916a3: Pulling fs layer 2025-09-09T14:05:15.6521921Z 0b3a66ab554e: Pulling fs layer 2025-09-09T14:05:15.6522178Z 72728e4acc07: Pulling fs layer 2025-09-09T14:05:15.6522427Z 2ca30f8660e0: Pulling fs layer 2025-09-09T14:05:15.6522688Z 45f90a05dbb6: Pulling fs layer 2025-09-09T14:05:15.6522938Z 16125e2dbaa8: Pulling fs layer 2025-09-09T14:05:15.6523198Z 8e08c86db3a1: Pulling fs layer 2025-09-09T14:05:15.6523460Z 550d67135f81: Pulling fs layer 2025-09-09T14:05:15.6523711Z cac5e14b36bd: Pulling fs layer 2025-09-09T14:05:15.6523973Z d9fc50fb0d36: Pulling fs layer 2025-09-09T14:05:15.6524228Z 8b2ffa49399c: Pulling fs layer 2025-09-09T14:05:15.6524498Z 05e4f4570fa0: Pulling fs layer 2025-09-09T14:05:15.6524747Z e16b313a64bb: Pulling fs layer 2025-09-09T14:05:15.6525000Z 87b47e27ca53: Pulling fs layer 2025-09-09T14:05:15.6525257Z 282dc51a39ad: Pulling fs layer 2025-09-09T14:05:15.6525789Z 4f4fb700ef54: Waiting 2025-09-09T14:05:15.6526005Z 8e08c86db3a1: Waiting 2025-09-09T14:05:15.6526218Z 8b2ffa49399c: Waiting 2025-09-09T14:05:15.6526428Z cabce7a916a3: Waiting 2025-09-09T14:05:15.6526643Z 550d67135f81: Waiting 2025-09-09T14:05:15.6526856Z cac5e14b36bd: Waiting 2025-09-09T14:05:15.6527061Z 05e4f4570fa0: Waiting 2025-09-09T14:05:15.6527274Z 0b3a66ab554e: Waiting 2025-09-09T14:05:15.6527480Z e16b313a64bb: Waiting 2025-09-09T14:05:15.6527689Z 72728e4acc07: Waiting 2025-09-09T14:05:15.6527899Z d9fc50fb0d36: Waiting 2025-09-09T14:05:15.6528114Z 87b47e27ca53: Waiting 2025-09-09T14:05:15.6528319Z 282dc51a39ad: Waiting 2025-09-09T14:05:15.6528532Z c3175a707c2d: Waiting 2025-09-09T14:05:15.6528748Z 2ca30f8660e0: Waiting 2025-09-09T14:05:15.6529154Z 16125e2dbaa8: Waiting 2025-09-09T14:05:15.6529367Z 550b3c83242f: Waiting 2025-09-09T14:05:15.6529568Z 17af5086235f: Waiting 2025-09-09T14:05:15.6529780Z 018f40a634ae: Waiting 2025-09-09T14:05:15.6529991Z 45f90a05dbb6: Waiting 2025-09-09T14:05:15.7244944Z 09fcdf4cf4fd: Verifying Checksum 2025-09-09T14:05:15.7245256Z 09fcdf4cf4fd: Download complete 2025-09-09T14:05:16.0942315Z 17af5086235f: Verifying Checksum 2025-09-09T14:05:16.0942892Z 17af5086235f: Download complete 2025-09-09T14:05:16.3841184Z 19877a9af8e3: Download complete 2025-09-09T14:05:16.4291856Z 550b3c83242f: Verifying Checksum 2025-09-09T14:05:16.4293041Z 550b3c83242f: Download complete 2025-09-09T14:05:16.9062999Z 018f40a634ae: Verifying Checksum 2025-09-09T14:05:16.9063410Z 018f40a634ae: Download complete 2025-09-09T14:05:16.9139658Z 3b95f7accc18: Verifying Checksum 2025-09-09T14:05:16.9139949Z 3b95f7accc18: Download complete 2025-09-09T14:05:16.9457656Z 4f4fb700ef54: Download complete 2025-09-09T14:05:16.9568924Z cabce7a916a3: Verifying Checksum 2025-09-09T14:05:16.9569285Z cabce7a916a3: Download complete 2025-09-09T14:05:16.9994665Z 72728e4acc07: Verifying Checksum 2025-09-09T14:05:16.9994979Z 72728e4acc07: Download complete 2025-09-09T14:05:17.0069825Z 0b3a66ab554e: Verifying Checksum 2025-09-09T14:05:17.0070203Z 0b3a66ab554e: Download complete 2025-09-09T14:05:17.0360144Z 2ca30f8660e0: Verifying Checksum 2025-09-09T14:05:17.0360471Z 2ca30f8660e0: Download complete 2025-09-09T14:05:17.1434129Z 16125e2dbaa8: Download complete 2025-09-09T14:05:17.1988509Z 8e08c86db3a1: Verifying Checksum 2025-09-09T14:05:17.1988793Z 8e08c86db3a1: Download complete 2025-09-09T14:05:17.9872445Z c3175a707c2d: Verifying Checksum 2025-09-09T14:05:17.9872772Z c3175a707c2d: Download complete 2025-09-09T14:05:18.0342138Z cac5e14b36bd: Verifying Checksum 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shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:08:03.7265909Z env: 2025-09-09T14:08:03.7266154Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:08:03.7266500Z REPOSITORY: pytorch/ao 2025-09-09T14:08:03.7266741Z PR_NUMBER: 2963 2025-09-09T14:08:03.7268779Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:08:03.7270895Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:08:03.7271460Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:08:03.7272000Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:08:03.7272438Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:08:03.7272790Z ##[endgroup] 2025-09-09T14:08:03.7429358Z Prepare all required actions 2025-09-09T14:08:03.7429704Z Getting action download info 2025-09-09T14:08:03.9345138Z ##[group]Run ./test-infra/.github/actions/setup-nvidia 2025-09-09T14:08:03.9345495Z with: 2025-09-09T14:08:03.9345693Z driver-version: 580.65.06 2025-09-09T14:08:03.9345953Z env: 2025-09-09T14:08:03.9346505Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:08:03.9346852Z REPOSITORY: pytorch/ao 2025-09-09T14:08:03.9347157Z PR_NUMBER: 2963 2025-09-09T14:08:03.9349129Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:08:03.9351335Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:08:03.9351893Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:08:03.9352419Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:08:03.9353075Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:08:03.9366218Z ##[endgroup] 2025-09-09T14:08:03.9527461Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2025-09-09T14:08:03.9527851Z with: 2025-09-09T14:08:03.9528054Z timeout_minutes: 10 2025-09-09T14:08:03.9528277Z max_attempts: 3 2025-09-09T14:08:03.9555521Z command: # Is it disgusting to have a full shell script here in this github action? Sure # But is it the best way to make it so that this action relies on nothing else? Absolutely set -eou pipefail DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID) DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run" install_nvidia_docker2_amzn2() { ( set -x # Needed for yum-config-manager sudo yum install -y yum-utils if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo" else # Amazon Linux 2 YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo" fi sudo yum-config-manager --add-repo "${YUM_REPO_URL}" sudo yum install -y \ nvidia-container-toolkit-1.17.8 \ libnvidia-container-tools-1.17.8 \ libnvidia-container1-1.17.8 \ nvidia-container-toolkit-base-1.17.8 sudo systemctl restart docker ) } install_nvidia_docker2_ubuntu20() { ( set -x # Install nvidia-driver package if not installed status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)" if [ ! $? = 0 ] || [ ! "$status" = installed ]; then sudo apt-get install -y nvidia-container-toolkit-1.17.8 sudo systemctl restart docker fi ) } pre_install_nvidia_driver_amzn2() { ( # Purge any nvidia driver installed from RHEL repo sudo yum remove -y nvidia-driver-latest-dkms ) } install_nvidia_driver_common() { ( # Try to gather more information about the runner and its existing NVIDIA driver if any echo "Before installing NVIDIA driver" lspci lsmod modinfo nvidia || true HAS_NVIDIA_DRIVER=0 # Check if NVIDIA driver has already been installed if [ -x "$(command -v nvidia-smi)" ]; then set +e # The driver exists, check its version next. Also check only the first GPU if there are more than one of them # so that the same driver version is not print over multiple lines INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing" elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing" # Turn off persistent mode so that the installation script can unload the kernel module sudo killall nvidia-persistenced || true else HAS_NVIDIA_DRIVER=1 echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation" fi set -e fi if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then # CAUTION: this may need to be updated in future if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then sudo yum groupinstall -y "Development Tools" # ensure our kernel install is the same as our underlying kernel, # groupinstall "Development Tools" has a habit of mismatching kernel headers sudo yum install -y "kernel-devel-uname-r == $(uname -r)" sudo modprobe backlight fi sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN" set +e sudo /bin/bash /tmp/nvidia_driver -s --no-drm NVIDIA_INSTALLATION_STATUS=$? RESET_GPU=0 if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then sudo cat /var/log/nvidia-installer.log # Fail to install NVIDIA driver, try to reset the GPU RESET_GPU=1 elif [ -x "$(command -v nvidia-smi)" ]; then # Check again if nvidia-smi works even if the driver installation completes successfully INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0) NVIDIA_SMI_STATUS=$? if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then RESET_GPU=1 fi fi if [ "$RESET_GPU" -eq 1 ]; then NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1) # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388 for PCI_ID in $NVIDIA_DEVICES; do DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable) echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)" # This requires sudo permission of course echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset sleep 1 done fi sudo rm -fv /tmp/nvidia_driver set -e fi ) } post_install_nvidia_driver_common() { ( sudo modprobe nvidia || true echo "After installing NVIDIA driver" lspci lsmod modinfo nvidia || true ( set +e nvidia-smi # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in # the case where the driver has already crashed as it still can get the driver version # and some basic information like the bus ID. However, the rest of the information # would be missing (ERR!), for example: # # +-----------------------------------------------------------------------------+ # | NVIDIA-SMI 525.89.02 Driver Version: 525.89.02 CUDA Version: 12.0 | # |-------------------------------+----------------------+----------------------+ # | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | # | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | # | | | MIG M. | # |===============================+======================+======================| # | 0 ERR! Off | 00000000:00:1E.0 Off | ERR! | # |ERR! ERR! ERR! ERR! / ERR! | 4184MiB / 23028MiB | ERR! Default | # | | | ERR! | # +-------------------------------+----------------------+----------------------+ # # +-----------------------------------------------------------------------------+ # | Processes: | # | GPU GI CI PID Type Process name GPU Memory | # | ID ID Usage | # |=============================================================================| # +-----------------------------------------------------------------------------+ # # This should be reported as a failure instead as it will guarantee to fail when # Docker tries to run with --gpus all # # So, the correct check here is to query one of the missing piece of info like # GPU name, so that the command can fail accordingly nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 NVIDIA_SMI_STATUS=$? # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285 if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}" else echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}" exit ${NVIDIA_SMI_STATUS} fi set -e ) ) } install_nvidia_driver_amzn2() { ( set -x pre_install_nvidia_driver_amzn2 install_nvidia_driver_common post_install_nvidia_driver_common ) } install_nvidia_driver_ubuntu20() { ( set -x install_nvidia_driver_common post_install_nvidia_driver_common ) } echo "== Installing nvidia driver ${DRIVER_FN} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_driver_amzn2 ;; ubuntu20.04) install_nvidia_driver_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac # Install container toolkit based on distribution echo "== Installing nvidia container toolkit for ${DISTRIBUTION} ==" case "${DISTRIBUTION}" in amzn*) install_nvidia_docker2_amzn2 ;; ubuntu20.04) install_nvidia_docker2_ubuntu20 ;; *) echo "ERROR: Unknown distribution ${DISTRIBUTION}" exit 1 ;; esac echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" # Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with # more than one GPUs. This just needs to be run once. The command fails # on subsequent runs and complains that the mode is already on, but that's # ok sudo nvidia-persistenced || true # This should show persistence mode ON nvidia-smi # check if the container-toolkit is correctly installed and CUDA is available inside a container docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi 2025-09-09T14:08:03.9582694Z retry_wait_seconds: 10 2025-09-09T14:08:03.9582952Z polling_interval_seconds: 1 2025-09-09T14:08:03.9583224Z warning_on_retry: true 2025-09-09T14:08:03.9583469Z continue_on_error: false 2025-09-09T14:08:03.9583715Z env: 2025-09-09T14:08:03.9583959Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:08:03.9584400Z REPOSITORY: pytorch/ao 2025-09-09T14:08:03.9584654Z PR_NUMBER: 2963 2025-09-09T14:08:03.9586576Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:08:03.9588761Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:08:03.9589336Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:08:03.9589868Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:08:03.9590339Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:08:03.9590714Z DRIVER_VERSION: 580.65.06 2025-09-09T14:08:03.9590959Z ##[endgroup] 2025-09-09T14:08:04.0797204Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.65.06.run == 2025-09-09T14:08:04.0798781Z + pre_install_nvidia_driver_amzn2 2025-09-09T14:08:04.0801894Z + sudo yum remove -y nvidia-driver-latest-dkms 2025-09-09T14:08:04.4158319Z No match for argument: nvidia-driver-latest-dkms 2025-09-09T14:08:04.4158983Z No packages marked for removal. 2025-09-09T14:08:04.4209509Z Dependencies resolved. 2025-09-09T14:08:04.4220575Z Nothing to do. 2025-09-09T14:08:04.4221818Z Complete! 2025-09-09T14:08:04.4998417Z + install_nvidia_driver_common 2025-09-09T14:08:04.5002853Z + echo 'Before installing NVIDIA driver' 2025-09-09T14:08:04.5003155Z + lspci 2025-09-09T14:08:04.5004747Z Before installing NVIDIA driver 2025-09-09T14:08:04.5142020Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-09T14:08:04.5142609Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-09T14:08:04.5143198Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-09T14:08:04.5143739Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-09T14:08:04.5144230Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-09T14:08:04.5144802Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-09T14:08:04.5145308Z 00:1b.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.5145745Z 00:1c.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.5146381Z 00:1d.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.5146810Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.5147370Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-09T14:08:04.5147789Z + lsmod 2025-09-09T14:08:04.5203356Z Module Size Used by 2025-09-09T14:08:04.5203665Z veth 36864 0 2025-09-09T14:08:04.5203928Z nvidia_modeset 1740800 0 2025-09-09T14:08:04.5204215Z video 65536 1 nvidia_modeset 2025-09-09T14:08:04.5204512Z wmi 36864 1 video 2025-09-09T14:08:04.5204783Z nvidia_uvm 1921024 0 2025-09-09T14:08:04.5205088Z nvidia 14274560 19 nvidia_uvm,nvidia_modeset 2025-09-09T14:08:04.5205423Z drm 602112 1 nvidia 2025-09-09T14:08:04.5205728Z drm_panel_orientation_quirks 32768 1 drm 2025-09-09T14:08:04.5206131Z backlight 24576 3 video,drm,nvidia_modeset 2025-09-09T14:08:04.5206488Z i2c_core 110592 2 nvidia,drm 2025-09-09T14:08:04.5206771Z xt_conntrack 16384 1 2025-09-09T14:08:04.5207031Z nft_chain_nat 16384 3 2025-09-09T14:08:04.5207286Z xt_MASQUERADE 20480 1 2025-09-09T14:08:04.5207582Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-09T14:08:04.5207916Z nf_conntrack_netlink 57344 0 2025-09-09T14:08:04.5208539Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-09T14:08:04.5208999Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-09T14:08:04.5209309Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-09T14:08:04.5209610Z xfrm_user 57344 1 2025-09-09T14:08:04.5209868Z xfrm_algo 16384 1 xfrm_user 2025-09-09T14:08:04.5210157Z xt_addrtype 16384 2 2025-09-09T14:08:04.5210429Z nft_compat 20480 4 2025-09-09T14:08:04.5210764Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-09T14:08:04.5211192Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-09T14:08:04.5211574Z br_netfilter 36864 0 2025-09-09T14:08:04.5211847Z bridge 323584 1 br_netfilter 2025-09-09T14:08:04.5212134Z stp 16384 1 bridge 2025-09-09T14:08:04.5212418Z llc 16384 2 bridge,stp 2025-09-09T14:08:04.5212701Z overlay 167936 0 2025-09-09T14:08:04.5212953Z tls 139264 0 2025-09-09T14:08:04.5213194Z nls_ascii 16384 1 2025-09-09T14:08:04.5213441Z nls_cp437 20480 1 2025-09-09T14:08:04.5213688Z vfat 24576 1 2025-09-09T14:08:04.5214075Z fat 86016 1 vfat 2025-09-09T14:08:04.5214338Z sunrpc 700416 1 2025-09-09T14:08:04.5214573Z i8042 45056 0 2025-09-09T14:08:04.5214814Z ena 180224 0 2025-09-09T14:08:04.5215054Z serio 28672 3 i8042 2025-09-09T14:08:04.5215329Z button 24576 0 2025-09-09T14:08:04.5215575Z ghash_clmulni_intel 16384 0 2025-09-09T14:08:04.5215840Z sch_fq_codel 20480 33 2025-09-09T14:08:04.5216090Z fuse 184320 1 2025-09-09T14:08:04.5216340Z dm_mod 188416 0 2025-09-09T14:08:04.5216583Z loop 36864 0 2025-09-09T14:08:04.5216829Z configfs 57344 1 2025-09-09T14:08:04.5217087Z dmi_sysfs 20480 0 2025-09-09T14:08:04.5217333Z crc32_pclmul 16384 0 2025-09-09T14:08:04.5217592Z crc32c_intel 24576 0 2025-09-09T14:08:04.5217835Z efivarfs 24576 1 2025-09-09T14:08:04.5218084Z + modinfo nvidia 2025-09-09T14:08:04.5227154Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-09T14:08:04.5227647Z import_ns: DMA_BUF 2025-09-09T14:08:04.5227900Z alias: char-major-195-* 2025-09-09T14:08:04.5228163Z version: 580.65.06 2025-09-09T14:08:04.5228411Z supported: external 2025-09-09T14:08:04.5228652Z license: Dual MIT/GPL 2025-09-09T14:08:04.5228944Z firmware: nvidia/580.65.06/gsp_tu10x.bin 2025-09-09T14:08:04.5229286Z firmware: nvidia/580.65.06/gsp_ga10x.bin 2025-09-09T14:08:04.5229609Z srcversion: A69EBF72FC9D60E11E9A05C 2025-09-09T14:08:04.5229942Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-09-09T14:08:04.5230296Z alias: of:N*T*Cnvidia,tegra264-display 2025-09-09T14:08:04.5230647Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-09-09T14:08:04.5230996Z alias: of:N*T*Cnvidia,tegra234-display 2025-09-09T14:08:04.5231339Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-09T14:08:04.5231678Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-09T14:08:04.5232016Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-09T14:08:04.5232335Z depends: i2c-core,drm 2025-09-09T14:08:04.5232586Z retpoline: Y 2025-09-09T14:08:04.5232801Z name: nvidia 2025-09-09T14:08:04.5233156Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-09T14:08:04.5233637Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-09T14:08:04.5234090Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-09T14:08:04.5234521Z parm: NVreg_ResmanDebugLevel:int 2025-09-09T14:08:04.5234826Z parm: NVreg_RmLogonRC:int 2025-09-09T14:08:04.5235241Z parm: NVreg_ModifyDeviceFiles:int 2025-09-09T14:08:04.5235561Z parm: NVreg_DeviceFileUID:int 2025-09-09T14:08:04.5235864Z parm: NVreg_DeviceFileGID:int 2025-09-09T14:08:04.5236167Z parm: NVreg_DeviceFileMode:int 2025-09-09T14:08:04.5236533Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-09T14:08:04.5236930Z parm: NVreg_UsePageAttributeTable:int 2025-09-09T14:08:04.5237260Z parm: NVreg_EnablePCIeGen3:int 2025-09-09T14:08:04.5237565Z parm: NVreg_EnableMSI:int 2025-09-09T14:08:04.5237863Z parm: NVreg_EnableStreamMemOPs:int 2025-09-09T14:08:04.5238230Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-09T14:08:04.5238634Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-09T14:08:04.5239016Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-09T14:08:04.5239433Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-09T14:08:04.5239853Z parm: NVreg_DynamicPowerManagement:int 2025-09-09T14:08:04.5240292Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-09T14:08:04.5240746Z parm: NVreg_EnableGpuFirmware:int 2025-09-09T14:08:04.5241088Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-09T14:08:04.5241546Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-09T14:08:04.5241921Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-09T14:08:04.5242269Z parm: NVreg_MemoryPoolSize:int 2025-09-09T14:08:04.5242588Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-09T14:08:04.5242924Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-09T14:08:04.5243243Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-09T14:08:04.5243562Z parm: NVreg_NvLinkDisable:int 2025-09-09T14:08:04.5243907Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-09T14:08:04.5244277Z parm: NVreg_RegisterPCIDriver:int 2025-09-09T14:08:04.5244643Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-09-09T14:08:04.5245006Z parm: NVreg_EnableResizableBar:int 2025-09-09T14:08:04.5245346Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-09T14:08:04.5245689Z parm: NVreg_EnableNonblockingOpen:int 2025-09-09T14:08:04.5246270Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-09-09T14:08:04.5246658Z parm: NVreg_RegistryDwords:charp 2025-09-09T14:08:04.5247010Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-09T14:08:04.5247344Z parm: NVreg_RmMsg:charp 2025-09-09T14:08:04.5247640Z parm: NVreg_GpuBlacklist:charp 2025-09-09T14:08:04.5247985Z parm: NVreg_TemporaryFilePath:charp 2025-09-09T14:08:04.5248318Z parm: NVreg_ExcludedGpus:charp 2025-09-09T14:08:04.5248645Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-09T14:08:04.5248980Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-09T14:08:04.5249350Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-09T14:08:04.5249714Z parm: NVreg_ImexChannelCount:int 2025-09-09T14:08:04.5250051Z parm: NVreg_CreateImexChannel0:int 2025-09-09T14:08:04.5250412Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-09T14:08:04.5250801Z parm: rm_firmware_active:charp 2025-09-09T14:08:04.5251106Z + HAS_NVIDIA_DRIVER=0 2025-09-09T14:08:04.5251340Z ++ command -v nvidia-smi 2025-09-09T14:08:04.5251606Z + '[' -x /usr/bin/nvidia-smi ']' 2025-09-09T14:08:04.5251856Z + set +e 2025-09-09T14:08:04.5252170Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0 2025-09-09T14:08:04.5828834Z + INSTALLED_DRIVER_VERSION=580.65.06 2025-09-09T14:08:04.5829144Z + NVIDIA_SMI_STATUS=0 2025-09-09T14:08:04.5829365Z + '[' 0 -ne 0 ']' 2025-09-09T14:08:04.5829586Z + '[' 580.65.06 '!=' 580.65.06 ']' 2025-09-09T14:08:04.5829842Z + HAS_NVIDIA_DRIVER=1 2025-09-09T14:08:04.5830266Z + echo 'NVIDIA driver (580.65.06) has already been installed. Skipping NVIDIA driver installation' 2025-09-09T14:08:04.5830743Z + set -e 2025-09-09T14:08:04.5831105Z + '[' 1 -eq 0 ']' 2025-09-09T14:08:04.5831503Z NVIDIA driver (580.65.06) has already been installed. Skipping NVIDIA driver installation 2025-09-09T14:08:04.5831971Z + post_install_nvidia_driver_common 2025-09-09T14:08:04.5836193Z + sudo modprobe nvidia 2025-09-09T14:08:04.7252773Z + echo 'After installing NVIDIA driver' 2025-09-09T14:08:04.7253075Z + lspci 2025-09-09T14:08:04.7253283Z After installing NVIDIA driver 2025-09-09T14:08:04.7385608Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] 2025-09-09T14:08:04.7386112Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II] 2025-09-09T14:08:04.7386675Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08) 2025-09-09T14:08:04.7387262Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111 2025-09-09T14:08:04.7387749Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller 2025-09-09T14:08:04.7388310Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA) 2025-09-09T14:08:04.7388802Z 00:1b.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.7389249Z 00:1c.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.7389686Z 00:1d.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.7390291Z 00:1e.0 3D controller: NVIDIA Corporation GA102GL [A10G] (rev a1) 2025-09-09T14:08:04.7390785Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller 2025-09-09T14:08:04.7391199Z + lsmod 2025-09-09T14:08:04.7429431Z Module Size Used by 2025-09-09T14:08:04.7429703Z veth 36864 0 2025-09-09T14:08:04.7429972Z nvidia_modeset 1740800 0 2025-09-09T14:08:04.7430265Z video 65536 1 nvidia_modeset 2025-09-09T14:08:04.7430617Z wmi 36864 1 video 2025-09-09T14:08:04.7430905Z nvidia_uvm 1921024 0 2025-09-09T14:08:04.7431205Z nvidia 14274560 19 nvidia_uvm,nvidia_modeset 2025-09-09T14:08:04.7431539Z drm 602112 1 nvidia 2025-09-09T14:08:04.7431839Z drm_panel_orientation_quirks 32768 1 drm 2025-09-09T14:08:04.7432216Z backlight 24576 3 video,drm,nvidia_modeset 2025-09-09T14:08:04.7432591Z i2c_core 110592 2 nvidia,drm 2025-09-09T14:08:04.7432879Z xt_conntrack 16384 1 2025-09-09T14:08:04.7433137Z nft_chain_nat 16384 3 2025-09-09T14:08:04.7433391Z xt_MASQUERADE 20480 1 2025-09-09T14:08:04.7433687Z nf_nat 57344 2 nft_chain_nat,xt_MASQUERADE 2025-09-09T14:08:04.7434014Z nf_conntrack_netlink 57344 0 2025-09-09T14:08:04.7434418Z nf_conntrack 184320 4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE 2025-09-09T14:08:04.7434866Z nf_defrag_ipv6 24576 1 nf_conntrack 2025-09-09T14:08:04.7435169Z nf_defrag_ipv4 16384 1 nf_conntrack 2025-09-09T14:08:04.7435461Z xfrm_user 57344 1 2025-09-09T14:08:04.7435717Z xfrm_algo 16384 1 xfrm_user 2025-09-09T14:08:04.7436004Z xt_addrtype 16384 2 2025-09-09T14:08:04.7436253Z nft_compat 20480 4 2025-09-09T14:08:04.7436557Z nf_tables 311296 57 nft_compat,nft_chain_nat 2025-09-09T14:08:04.7436976Z nfnetlink 20480 4 nft_compat,nf_conntrack_netlink,nf_tables 2025-09-09T14:08:04.7437367Z br_netfilter 36864 0 2025-09-09T14:08:04.7437640Z bridge 323584 1 br_netfilter 2025-09-09T14:08:04.7437930Z stp 16384 1 bridge 2025-09-09T14:08:04.7438212Z llc 16384 2 bridge,stp 2025-09-09T14:08:04.7438486Z overlay 167936 0 2025-09-09T14:08:04.7438732Z tls 139264 0 2025-09-09T14:08:04.7438969Z nls_ascii 16384 1 2025-09-09T14:08:04.7439215Z nls_cp437 20480 1 2025-09-09T14:08:04.7439450Z vfat 24576 1 2025-09-09T14:08:04.7439697Z fat 86016 1 vfat 2025-09-09T14:08:04.7440109Z sunrpc 700416 1 2025-09-09T14:08:04.7440354Z i8042 45056 0 2025-09-09T14:08:04.7440621Z ena 180224 0 2025-09-09T14:08:04.7440896Z serio 28672 3 i8042 2025-09-09T14:08:04.7441156Z button 24576 0 2025-09-09T14:08:04.7441414Z ghash_clmulni_intel 16384 0 2025-09-09T14:08:04.7441676Z sch_fq_codel 20480 33 2025-09-09T14:08:04.7441928Z fuse 184320 1 2025-09-09T14:08:04.7442162Z dm_mod 188416 0 2025-09-09T14:08:04.7442406Z loop 36864 0 2025-09-09T14:08:04.7442642Z configfs 57344 1 2025-09-09T14:08:04.7442900Z dmi_sysfs 20480 0 2025-09-09T14:08:04.7443148Z crc32_pclmul 16384 0 2025-09-09T14:08:04.7454862Z crc32c_intel 24576 0 2025-09-09T14:08:04.7455133Z efivarfs 24576 1 2025-09-09T14:08:04.7455383Z + modinfo nvidia 2025-09-09T14:08:04.7455791Z filename: /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko 2025-09-09T14:08:04.7456288Z import_ns: DMA_BUF 2025-09-09T14:08:04.7456539Z alias: char-major-195-* 2025-09-09T14:08:04.7456807Z version: 580.65.06 2025-09-09T14:08:04.7457051Z supported: external 2025-09-09T14:08:04.7457456Z license: Dual MIT/GPL 2025-09-09T14:08:04.7457741Z firmware: nvidia/580.65.06/gsp_tu10x.bin 2025-09-09T14:08:04.7458081Z firmware: nvidia/580.65.06/gsp_ga10x.bin 2025-09-09T14:08:04.7458400Z srcversion: A69EBF72FC9D60E11E9A05C 2025-09-09T14:08:04.7458727Z alias: of:N*T*Cnvidia,tegra264-displayC* 2025-09-09T14:08:04.7459077Z alias: of:N*T*Cnvidia,tegra264-display 2025-09-09T14:08:04.7459427Z alias: of:N*T*Cnvidia,tegra234-displayC* 2025-09-09T14:08:04.7459767Z alias: of:N*T*Cnvidia,tegra234-display 2025-09-09T14:08:04.7460116Z alias: pci:v000010DEd*sv*sd*bc06sc80i00* 2025-09-09T14:08:04.7460493Z alias: pci:v000010DEd*sv*sd*bc03sc02i00* 2025-09-09T14:08:04.7460842Z alias: pci:v000010DEd*sv*sd*bc03sc00i00* 2025-09-09T14:08:04.7461161Z depends: i2c-core,drm 2025-09-09T14:08:04.7461410Z retpoline: Y 2025-09-09T14:08:04.7461626Z name: nvidia 2025-09-09T14:08:04.7461982Z vermagic: 6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 2025-09-09T14:08:04.7462473Z parm: NvSwitchRegDwords:NvSwitch regkey (charp) 2025-09-09T14:08:04.7462926Z parm: NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp) 2025-09-09T14:08:04.7463364Z parm: NVreg_ResmanDebugLevel:int 2025-09-09T14:08:04.7463679Z parm: NVreg_RmLogonRC:int 2025-09-09T14:08:04.7463989Z parm: NVreg_ModifyDeviceFiles:int 2025-09-09T14:08:04.7464319Z parm: NVreg_DeviceFileUID:int 2025-09-09T14:08:04.7464618Z parm: NVreg_DeviceFileGID:int 2025-09-09T14:08:04.7464928Z parm: NVreg_DeviceFileMode:int 2025-09-09T14:08:04.7465293Z parm: NVreg_InitializeSystemMemoryAllocations:int 2025-09-09T14:08:04.7465701Z parm: NVreg_UsePageAttributeTable:int 2025-09-09T14:08:04.7466034Z parm: NVreg_EnablePCIeGen3:int 2025-09-09T14:08:04.7466342Z parm: NVreg_EnableMSI:int 2025-09-09T14:08:04.7466646Z parm: NVreg_EnableStreamMemOPs:int 2025-09-09T14:08:04.7467019Z parm: NVreg_RestrictProfilingToAdminUsers:int 2025-09-09T14:08:04.7467513Z parm: NVreg_PreserveVideoMemoryAllocations:int 2025-09-09T14:08:04.7467897Z parm: NVreg_EnableS0ixPowerManagement:int 2025-09-09T14:08:04.7468318Z parm: NVreg_S0ixPowerManagementVideoMemoryThreshold:int 2025-09-09T14:08:04.7468730Z parm: NVreg_DynamicPowerManagement:int 2025-09-09T14:08:04.7469158Z parm: NVreg_DynamicPowerManagementVideoMemoryThreshold:int 2025-09-09T14:08:04.7469572Z parm: NVreg_EnableGpuFirmware:int 2025-09-09T14:08:04.7469915Z parm: NVreg_EnableGpuFirmwareLogs:int 2025-09-09T14:08:04.7470556Z parm: NVreg_OpenRmEnableUnsupportedGpus:int 2025-09-09T14:08:04.7470945Z parm: NVreg_EnableUserNUMAManagement:int 2025-09-09T14:08:04.7471293Z parm: NVreg_MemoryPoolSize:int 2025-09-09T14:08:04.7471613Z parm: NVreg_KMallocHeapMaxSize:int 2025-09-09T14:08:04.7471951Z parm: NVreg_VMallocHeapMaxSize:int 2025-09-09T14:08:04.7472277Z parm: NVreg_IgnoreMMIOCheck:int 2025-09-09T14:08:04.7472597Z parm: NVreg_NvLinkDisable:int 2025-09-09T14:08:04.7472941Z parm: NVreg_EnablePCIERelaxedOrderingMode:int 2025-09-09T14:08:04.7473308Z parm: NVreg_RegisterPCIDriver:int 2025-09-09T14:08:04.7473658Z parm: NVreg_RegisterPlatformDeviceDriver:int 2025-09-09T14:08:04.7474023Z parm: NVreg_EnableResizableBar:int 2025-09-09T14:08:04.7474364Z parm: NVreg_EnableDbgBreakpoint:int 2025-09-09T14:08:04.7474706Z parm: NVreg_EnableNonblockingOpen:int 2025-09-09T14:08:04.7475061Z parm: NVreg_CoherentGPUMemoryMode:charp 2025-09-09T14:08:04.7475408Z parm: NVreg_RegistryDwords:charp 2025-09-09T14:08:04.7475752Z parm: NVreg_RegistryDwordsPerDevice:charp 2025-09-09T14:08:04.7476078Z parm: NVreg_RmMsg:charp 2025-09-09T14:08:04.7476369Z parm: NVreg_GpuBlacklist:charp 2025-09-09T14:08:04.7476775Z parm: NVreg_TemporaryFilePath:charp 2025-09-09T14:08:04.7477109Z parm: NVreg_ExcludedGpus:charp 2025-09-09T14:08:04.7477427Z parm: NVreg_DmaRemapPeerMmio:int 2025-09-09T14:08:04.7477752Z parm: NVreg_RmNvlinkBandwidth:charp 2025-09-09T14:08:04.7478114Z parm: NVreg_RmNvlinkBandwidthLinkCount:int 2025-09-09T14:08:04.7478463Z parm: NVreg_ImexChannelCount:int 2025-09-09T14:08:04.7478795Z parm: NVreg_CreateImexChannel0:int 2025-09-09T14:08:04.7479142Z parm: NVreg_GrdmaPciTopoCheckOverride:int 2025-09-09T14:08:04.7479490Z parm: rm_firmware_active:charp 2025-09-09T14:08:04.7479769Z + set +e 2025-09-09T14:08:04.7479947Z + nvidia-smi 2025-09-09T14:08:04.7896734Z Tue Sep 9 14:08:04 2025 2025-09-09T14:08:04.7897083Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:04.7897618Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:08:04.7898122Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:04.7898634Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:08:04.7899193Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:08:04.7899625Z | | | MIG M. | 2025-09-09T14:08:04.7899972Z |=========================================+========================+======================| 2025-09-09T14:08:04.8502165Z | 0 NVIDIA A10G On | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:08:04.8502640Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:04.8503034Z | | | N/A | 2025-09-09T14:08:04.8503431Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:04.8503902Z | 1 NVIDIA A10G On | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:08:04.8504338Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:04.8504729Z | | | N/A | 2025-09-09T14:08:04.8505133Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:04.8505573Z | 2 NVIDIA A10G On | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:08:04.8506183Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:04.8506558Z | | | N/A | 2025-09-09T14:08:04.8506956Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:04.8507470Z | 3 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:08:04.8507894Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:04.8508274Z | | | N/A | 2025-09-09T14:08:04.8508662Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:04.8530830Z 2025-09-09T14:08:04.8531050Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:04.8531499Z | Processes: | 2025-09-09T14:08:04.8531957Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:08:04.8532381Z | ID ID Usage | 2025-09-09T14:08:04.8532859Z |=========================================================================================| 2025-09-09T14:08:04.8570012Z | No running processes found | 2025-09-09T14:08:04.8570513Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:05.9183561Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0 2025-09-09T14:08:05.9365310Z NVIDIA A10G 2025-09-09T14:08:05.9639730Z + NVIDIA_SMI_STATUS=0 2025-09-09T14:08:05.9642335Z + '[' 0 -eq 0 ']' 2025-09-09T14:08:05.9643007Z + echo 'INFO: Ignoring allowed status 0' 2025-09-09T14:08:05.9643743Z + set -e 2025-09-09T14:08:05.9644276Z INFO: Ignoring allowed status 0 2025-09-09T14:08:05.9653437Z == Installing nvidia container toolkit for amzn2023 == 2025-09-09T14:08:05.9658282Z + sudo yum install -y yum-utils 2025-09-09T14:08:06.4653446Z Last metadata expiration check: 0:03:40 ago on Tue Sep 9 14:04:26 2025. 2025-09-09T14:08:06.4901083Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed. 2025-09-09T14:08:06.5364256Z Dependencies resolved. 2025-09-09T14:08:06.5591043Z Nothing to do. 2025-09-09T14:08:06.5591450Z Complete! 2025-09-09T14:08:06.6751313Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]] 2025-09-09T14:08:06.6751870Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:08:06.6752783Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:08:07.0475214Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo 2025-09-09T14:08:07.0955283Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8 2025-09-09T14:08:07.6583365Z nvidia-container-toolkit 19 kB/s | 833 B 00:00 2025-09-09T14:08:07.6828267Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed. 2025-09-09T14:08:07.6833762Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed. 2025-09-09T14:08:07.6837486Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed. 2025-09-09T14:08:07.6844036Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed. 2025-09-09T14:08:07.7309910Z Dependencies resolved. 2025-09-09T14:08:07.7535562Z Nothing to do. 2025-09-09T14:08:07.7536286Z Complete! 2025-09-09T14:08:07.8819727Z + sudo systemctl restart docker 2025-09-09T14:08:47.8227811Z nvidia-persistenced failed to initialize. Check syslog for more details. 2025-09-09T14:08:47.8695071Z Tue Sep 9 14:08:47 2025 2025-09-09T14:08:47.8696353Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:47.8697371Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:08:47.8698339Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:47.8699342Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:08:47.8700417Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:08:47.8701270Z | | | MIG M. | 2025-09-09T14:08:47.8701917Z |=========================================+========================+======================| 2025-09-09T14:08:47.9294826Z | 0 NVIDIA A10G On | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:08:47.9295733Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:47.9296484Z | | | N/A | 2025-09-09T14:08:47.9297251Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:47.9300193Z | 1 NVIDIA A10G On | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:08:47.9301039Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:47.9301773Z | | | N/A | 2025-09-09T14:08:47.9302469Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:47.9302957Z | 2 NVIDIA A10G On | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:08:47.9303381Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:47.9303765Z | | | N/A | 2025-09-09T14:08:47.9304149Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:47.9304591Z | 3 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:08:47.9305016Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:08:47.9305398Z | | | N/A | 2025-09-09T14:08:47.9305781Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:08:47.9320760Z 2025-09-09T14:08:47.9321220Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:47.9321696Z | Processes: | 2025-09-09T14:08:47.9322154Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:08:47.9322575Z | ID ID Usage | 2025-09-09T14:08:47.9322911Z |=========================================================================================| 2025-09-09T14:08:47.9358323Z | No running processes found | 2025-09-09T14:08:47.9358826Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:08:49.0800028Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally 2025-09-09T14:08:49.3228984Z 3.13: Pulling from docker/library/python 2025-09-09T14:08:49.4408279Z 15b1d8a5ff03: Pulling fs layer 2025-09-09T14:08:49.4408612Z 22718812f617: Pulling fs layer 2025-09-09T14:08:49.4408923Z 401a98f7495b: Pulling fs layer 2025-09-09T14:08:49.4409224Z ad446e7df19a: Pulling fs layer 2025-09-09T14:08:49.4409839Z 5d32990caa16: Pulling fs layer 2025-09-09T14:08:49.4410167Z a79d633abf9a: Pulling fs layer 2025-09-09T14:08:49.4410466Z 249a56c8e466: Pulling fs layer 2025-09-09T14:08:49.4410760Z ad446e7df19a: Waiting 2025-09-09T14:08:49.4411013Z 5d32990caa16: Waiting 2025-09-09T14:08:49.4411272Z a79d633abf9a: Waiting 2025-09-09T14:08:49.4411536Z 249a56c8e466: Waiting 2025-09-09T14:08:49.5771508Z 22718812f617: Verifying Checksum 2025-09-09T14:08:49.5771884Z 22718812f617: Download complete 2025-09-09T14:08:49.6135239Z 15b1d8a5ff03: Verifying Checksum 2025-09-09T14:08:49.6135712Z 15b1d8a5ff03: Download complete 2025-09-09T14:08:49.6965505Z 401a98f7495b: Verifying Checksum 2025-09-09T14:08:49.6965945Z 401a98f7495b: Download complete 2025-09-09T14:08:49.7039350Z 5d32990caa16: Verifying Checksum 2025-09-09T14:08:49.7039730Z 5d32990caa16: Download complete 2025-09-09T14:08:49.7614493Z 249a56c8e466: Verifying Checksum 2025-09-09T14:08:49.7614890Z 249a56c8e466: Download complete 2025-09-09T14:08:49.8428587Z a79d633abf9a: Verifying Checksum 2025-09-09T14:08:49.8429000Z a79d633abf9a: Download complete 2025-09-09T14:08:50.2800717Z ad446e7df19a: Verifying Checksum 2025-09-09T14:08:50.2801030Z ad446e7df19a: Download complete 2025-09-09T14:08:51.3647636Z 15b1d8a5ff03: Pull complete 2025-09-09T14:08:52.0847559Z 22718812f617: Pull complete 2025-09-09T14:08:54.5937088Z 401a98f7495b: Pull complete 2025-09-09T14:09:01.1327297Z ad446e7df19a: Pull complete 2025-09-09T14:09:01.4151468Z 5d32990caa16: Pull complete 2025-09-09T14:09:02.1816535Z a79d633abf9a: Pull complete 2025-09-09T14:09:02.2049118Z 249a56c8e466: Pull complete 2025-09-09T14:09:02.2189423Z Digest: sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc 2025-09-09T14:09:02.2233533Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13 2025-09-09T14:09:08.9581933Z Tue Sep 9 14:09:08 2025 2025-09-09T14:09:08.9582341Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:09:08.9582881Z | NVIDIA-SMI 580.65.06 Driver Version: 580.65.06 CUDA Version: 13.0 | 2025-09-09T14:09:08.9583375Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:09:08.9583878Z | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | 2025-09-09T14:09:08.9584444Z | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | 2025-09-09T14:09:08.9584878Z | | | MIG M. | 2025-09-09T14:09:08.9585211Z |=========================================+========================+======================| 2025-09-09T14:09:09.0186467Z | 0 NVIDIA A10G On | 00000000:00:1B.0 Off | 0 | 2025-09-09T14:09:09.0186935Z | 0% 24C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:09:09.0187393Z | | | N/A | 2025-09-09T14:09:09.0187781Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:09:09.0188229Z | 1 NVIDIA A10G On | 00000000:00:1C.0 Off | 0 | 2025-09-09T14:09:09.0188661Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:09:09.0189045Z | | | N/A | 2025-09-09T14:09:09.0189442Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:09:09.0189878Z | 2 NVIDIA A10G On | 00000000:00:1D.0 Off | 0 | 2025-09-09T14:09:09.0190309Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:09:09.0190675Z | | | N/A | 2025-09-09T14:09:09.0191365Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:09:09.0191818Z | 3 NVIDIA A10G On | 00000000:00:1E.0 Off | 0 | 2025-09-09T14:09:09.0192239Z | 0% 23C P8 10W / 300W | 0MiB / 23028MiB | 0% Default | 2025-09-09T14:09:09.0192617Z | | | N/A | 2025-09-09T14:09:09.0193007Z +-----------------------------------------+------------------------+----------------------+ 2025-09-09T14:09:09.0216129Z 2025-09-09T14:09:09.0216516Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:09:09.0216958Z | Processes: | 2025-09-09T14:09:09.0217403Z | GPU GI CI PID Type Process name GPU Memory | 2025-09-09T14:09:09.0217830Z | ID ID Usage | 2025-09-09T14:09:09.0218172Z |=========================================================================================| 2025-09-09T14:09:09.0255440Z | No running processes found | 2025-09-09T14:09:09.0256164Z +-----------------------------------------------------------------------------------------+ 2025-09-09T14:09:11.0623341Z Command completed after 1 attempt(s). 2025-09-09T14:09:11.0734231Z ##[group]Run set -ex 2025-09-09T14:09:11.0734513Z set -ex 2025-09-09T14:09:11.0734718Z { 2025-09-09T14:09:11.0734937Z  echo "#!/usr/bin/env bash"; 2025-09-09T14:09:11.0735256Z  echo "set -eou pipefail"; 2025-09-09T14:09:11.0735557Z  # shellcheck disable=SC2016 2025-09-09T14:09:11.0735884Z  echo 'eval "$(conda shell.bash hook)"'; 2025-09-09T14:09:11.0736202Z  echo "set -x"; 2025-09-09T14:09:11.0736458Z  echo "${SCRIPT}"; 2025-09-09T14:09:11.0736728Z } > "${RUNNER_TEMP}/exec_script" 2025-09-09T14:09:11.0737050Z chmod +x "${RUNNER_TEMP}/exec_script" 2025-09-09T14:09:11.0737676Z python3 "/home/ec2-user/actions-runner/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py" "" 2025-09-09T14:09:11.0752992Z shell: /usr/bin/bash -e {0} 2025-09-09T14:09:11.0753243Z env: 2025-09-09T14:09:11.0753490Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T14:09:11.0753853Z REPOSITORY: pytorch/ao 2025-09-09T14:09:11.0754108Z PR_NUMBER: 2963 2025-09-09T14:09:11.0756035Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T14:09:11.0758146Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T14:09:11.0758711Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T14:09:11.0759258Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T14:09:11.0759697Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:09:11.0760361Z ALL_SECRETS: { "github_token": "***" } 2025-09-09T14:09:11.0760675Z ##[endgroup] 2025-09-09T14:09:11.0819059Z + echo '#!/usr/bin/env bash' 2025-09-09T14:09:11.0819356Z + echo 'set -eou pipefail' 2025-09-09T14:09:11.0819632Z + echo 'eval "$(conda shell.bash hook)"' 2025-09-09T14:09:11.0819915Z + echo 'set -x' 2025-09-09T14:09:11.0820162Z + echo 'conda create -n venv python=3.9 -y 2025-09-09T14:09:11.0820457Z conda activate venv 2025-09-09T14:09:11.0820838Z echo "::group::Install newer objcopy that supports --set-section-alignment" 2025-09-09T14:09:11.0821289Z dnf install -y gcc-toolset-10-binutils 2025-09-09T14:09:11.0821646Z export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH 2025-09-09T14:09:11.0822014Z python -m pip install --upgrade pip 2025-09-09T14:09:11.0822310Z pip install torch==2.6.0 2025-09-09T14:09:11.0822587Z sed -i '\'''\'' dev-requirements.txt 2025-09-09T14:09:11.0822894Z pip install -r dev-requirements.txt 2025-09-09T14:09:11.0823180Z pip install . 2025-09-09T14:09:11.0823436Z export CONDA=$(dirname $(dirname $(which conda))) 2025-09-09T14:09:11.0823817Z export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH 2025-09-09T14:09:11.0824158Z pytest test --verbose -s 2025-09-09T14:09:11.0824389Z ' 2025-09-09T14:09:11.0824681Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script 2025-09-09T14:09:11.0838020Z + python3 /home/ec2-user/actions-runner/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py '' 2025-09-09T14:09:18.3532617Z Running command: 2025-09-09T14:09:18.3538579Z docker run -e PR_NUMBER -e RUNNER_ARTIFACT_DIR=/artifacts -e RUNNER_DOCS_DIR=/docs -e RUNNER_TEST_RESULTS_DIR=/test-results --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_17585175130" `# It is unknown why the container sees a different value for this.` -e GITHUB_STEP_SUMMARY -e SECRET_GITHUB_TOKEN --cap-add=SYS_PTRACE --detach --ipc=host --security-opt seccomp=unconfined --shm-size=2g --tty --ulimit stack=10485760:83886080 --ulimit core=0 --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -v "/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao:/pytorch/ao" -v "/home/ec2-user/actions-runner/_work/ao/ao/test-infra:/test-infra" -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts" -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs" -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results" -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec" -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_52832b4a-2851-4d53-abdb-7dae1d059c3f":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_52832b4a-2851-4d53-abdb-7dae1d059c3f" -w /pytorch/ao "pytorch/almalinux-builder:cuda12.6" 2025-09-09T14:09:18.3543828Z 2025-09-09T14:09:18.3544141Z f10713c711f25a56e9a02c29c9e30ef88b1e77edac5b34636751efd8b4c3e1ce 2025-09-09T14:09:18.3544806Z Running command: docker exec -t f10713c711f25a56e9a02c29c9e30ef88b1e77edac5b34636751efd8b4c3e1ce /exec 2025-09-09T14:09:18.3545374Z + conda create -n venv python=3.9 -y 2025-09-09T14:09:18.3545655Z + local cmd=create 2025-09-09T14:09:18.3545867Z + case "$cmd" in 2025-09-09T14:09:18.3547473Z + __conda_exe create -n venv python=3.9 -y 2025-09-09T14:09:18.3547827Z + /opt/conda/bin/conda create -n venv python=3.9 -y 2025-09-09T14:09:18.3548770Z Collecting package metadata (current_repodata.json): - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2025-09-09T14:09:18.3549394Z Solving environment: \ done 2025-09-09T14:09:18.3549580Z 2025-09-09T14:09:18.3549684Z 2025-09-09T14:09:18.3549816Z ==> WARNING: A newer version of conda exists. <== 2025-09-09T14:09:18.3550136Z current version: 23.5.2 2025-09-09T14:09:18.3550386Z latest version: 25.7.0 2025-09-09T14:09:18.3550541Z 2025-09-09T14:09:18.3550646Z Please update conda by running 2025-09-09T14:09:18.3550823Z 2025-09-09T14:09:18.3550938Z $ conda update -n base -c defaults conda 2025-09-09T14:09:18.3551151Z 2025-09-09T14:09:18.3551356Z Or to minimize the number of packages updated during conda update use 2025-09-09T14:09:18.3551665Z 2025-09-09T14:09:18.3551758Z conda install conda=25.7.0 2025-09-09T14:09:18.3551937Z 2025-09-09T14:09:18.3551941Z 2025-09-09T14:09:18.3551945Z 2025-09-09T14:09:18.3552030Z ## Package Plan ## 2025-09-09T14:09:18.3552161Z 2025-09-09T14:09:18.3552285Z environment location: /opt/conda/envs/venv 2025-09-09T14:09:18.3552506Z 2025-09-09T14:09:18.3552604Z added / updated specs: 2025-09-09T14:09:18.3552841Z - python=3.9 2025-09-09T14:09:18.3552969Z 2025-09-09T14:09:18.3552973Z 2025-09-09T14:09:18.3553094Z The following packages will be downloaded: 2025-09-09T14:09:18.3553320Z 2025-09-09T14:09:18.3553428Z package | build 2025-09-09T14:09:18.3553745Z ---------------------------|----------------- 2025-09-09T14:09:18.3554088Z bzip2-1.0.8 | h5eee18b_6 262 KB 2025-09-09T14:09:18.3554482Z ld_impl_linux-64-2.40 | h12ee557_0 710 KB 2025-09-09T14:09:18.3554867Z libffi-3.4.4 | h6a678d5_1 141 KB 2025-09-09T14:09:18.3555248Z libxcb-1.17.0 | h9b100fa_0 430 KB 2025-09-09T14:09:18.3555619Z ncurses-6.5 | h7934f7d_0 1.1 MB 2025-09-09T14:09:18.3555986Z pip-25.2 | pyhc872135_0 1.2 MB 2025-09-09T14:09:18.3556376Z pthread-stubs-0.3 | h0ce48e5_1 5 KB 2025-09-09T14:09:18.3556915Z python-3.9.23 | he99959a_0 24.7 MB 2025-09-09T14:09:18.3557455Z readline-8.3 | hc2a1206_0 471 KB 2025-09-09T14:09:18.3557855Z setuptools-78.1.1 | py39h06a4308_0 1.7 MB 2025-09-09T14:09:18.3558255Z sqlite-3.50.2 | hb25bd0a_1 1.1 MB 2025-09-09T14:09:18.3558609Z tk-8.6.15 | h54e0aa7_0 3.4 MB 2025-09-09T14:09:18.3558971Z tzdata-2025b | h04d1e81_0 116 KB 2025-09-09T14:09:18.3559341Z wheel-0.45.1 | py39h06a4308_0 114 KB 2025-09-09T14:09:18.3559728Z xorg-libx11-1.8.12 | h9b100fa_1 895 KB 2025-09-09T14:09:18.3560133Z xorg-libxau-1.0.12 | h9b100fa_0 13 KB 2025-09-09T14:09:18.3560536Z xorg-libxdmcp-1.1.5 | h9b100fa_0 19 KB 2025-09-09T14:09:18.3561007Z xorg-xorgproto-2024.1 | h5eee18b_1 580 KB 2025-09-09T14:09:18.3561401Z xz-5.6.4 | h5eee18b_1 567 KB 2025-09-09T14:09:18.3561757Z zlib-1.2.13 | h5eee18b_1 111 KB 2025-09-09T14:09:18.3562105Z ------------------------------------------------------------ 2025-09-09T14:09:18.3562433Z Total: 37.6 MB 2025-09-09T14:09:18.3562642Z 2025-09-09T14:09:18.3562772Z The following NEW packages will be INSTALLED: 2025-09-09T14:09:18.3562999Z 2025-09-09T14:09:18.3563200Z _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main 2025-09-09T14:09:18.3563655Z _openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu 2025-09-09T14:09:18.3564076Z bzip2 pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 2025-09-09T14:09:18.3564572Z ca-certificates pkgs/main/linux-64::ca-certificates-2025.7.15-h06a4308_0 2025-09-09T14:09:18.3565065Z expat pkgs/main/linux-64::expat-2.7.1-h6a678d5_0 2025-09-09T14:09:18.3565520Z ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0 2025-09-09T14:09:18.3565995Z libffi pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1 2025-09-09T14:09:18.3566421Z libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 2025-09-09T14:09:18.3566868Z libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 2025-09-09T14:09:18.3567333Z libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 2025-09-09T14:09:18.3567787Z libxcb pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 2025-09-09T14:09:18.3568204Z ncurses pkgs/main/linux-64::ncurses-6.5-h7934f7d_0 2025-09-09T14:09:18.3568623Z openssl pkgs/main/linux-64::openssl-3.0.17-h5eee18b_0 2025-09-09T14:09:18.3569037Z pip pkgs/main/noarch::pip-25.2-pyhc872135_0 2025-09-09T14:09:18.3569487Z pthread-stubs pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 2025-09-09T14:09:18.3569955Z python pkgs/main/linux-64::python-3.9.23-he99959a_0 2025-09-09T14:09:18.3570387Z readline pkgs/main/linux-64::readline-8.3-hc2a1206_0 2025-09-09T14:09:18.3570887Z setuptools pkgs/main/linux-64::setuptools-78.1.1-py39h06a4308_0 2025-09-09T14:09:18.3571382Z sqlite pkgs/main/linux-64::sqlite-3.50.2-hb25bd0a_1 2025-09-09T14:09:18.3571772Z tk pkgs/main/linux-64::tk-8.6.15-h54e0aa7_0 2025-09-09T14:09:18.3572151Z tzdata pkgs/main/noarch::tzdata-2025b-h04d1e81_0 2025-09-09T14:09:18.3572571Z wheel pkgs/main/linux-64::wheel-0.45.1-py39h06a4308_0 2025-09-09T14:09:18.3573021Z xorg-libx11 pkgs/main/linux-64::xorg-libx11-1.8.12-h9b100fa_1 2025-09-09T14:09:18.3573508Z xorg-libxau pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 2025-09-09T14:09:18.3574007Z xorg-libxdmcp pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 2025-09-09T14:09:18.3574546Z xorg-xorgproto pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1 2025-09-09T14:09:18.3575097Z xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1 2025-09-09T14:09:18.3575546Z zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1 2025-09-09T14:09:18.3575804Z 2025-09-09T14:09:18.3575808Z 2025-09-09T14:09:18.3575812Z 2025-09-09T14:09:18.3575924Z Downloading and Extracting Packages 2025-09-09T14:09:18.3576121Z 2025-09-09T14:09:18.3576248Z tk-8.6.15 | 3.4 MB | : 0% 0/1 [00:00=4.10.0 (from torch==2.6.0) 2025-09-09T14:09:32.4793738Z Downloading typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB) 2025-09-09T14:09:32.4794280Z Collecting networkx (from torch==2.6.0) 2025-09-09T14:09:32.4794702Z Downloading networkx-3.2.1-py3-none-any.whl.metadata (5.2 kB) 2025-09-09T14:09:32.4795115Z Collecting jinja2 (from torch==2.6.0) 2025-09-09T14:09:32.4795515Z Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB) 2025-09-09T14:09:32.4795922Z Collecting fsspec (from torch==2.6.0) 2025-09-09T14:09:32.4796327Z Downloading fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB) 2025-09-09T14:09:32.4796821Z Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch==2.6.0) 2025-09-09T14:09:32.4797432Z Downloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4798053Z Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch==2.6.0) 2025-09-09T14:09:32.4798676Z Downloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4799308Z Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch==2.6.0) 2025-09-09T14:09:32.4799911Z Downloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) 2025-09-09T14:09:32.4800496Z Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch==2.6.0) 2025-09-09T14:09:32.4801064Z Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) 2025-09-09T14:09:32.4801637Z Collecting nvidia-cublas-cu12==12.4.5.8 (from torch==2.6.0) 2025-09-09T14:09:32.4802207Z Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4802776Z Collecting nvidia-cufft-cu12==11.2.1.3 (from torch==2.6.0) 2025-09-09T14:09:32.4803339Z Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4803907Z Collecting nvidia-curand-cu12==10.3.5.147 (from torch==2.6.0) 2025-09-09T14:09:32.4804494Z Downloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4805088Z Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch==2.6.0) 2025-09-09T14:09:32.4805666Z Downloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) 2025-09-09T14:09:32.4806266Z Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch==2.6.0) 2025-09-09T14:09:32.4806860Z Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB) 2025-09-09T14:09:32.4807464Z Collecting nvidia-cusparselt-cu12==0.6.2 (from torch==2.6.0) 2025-09-09T14:09:32.4808054Z Downloading nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl.metadata (6.8 kB) 2025-09-09T14:09:32.4808633Z Collecting nvidia-nccl-cu12==2.21.5 (from torch==2.6.0) 2025-09-09T14:09:32.4809168Z Downloading nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB) 2025-09-09T14:09:32.4809703Z Collecting nvidia-nvtx-cu12==12.4.127 (from torch==2.6.0) 2025-09-09T14:09:32.4810258Z Downloading nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.7 kB) 2025-09-09T14:09:32.4810839Z Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch==2.6.0) 2025-09-09T14:09:32.4811431Z Downloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB) 2025-09-09T14:09:32.4811967Z Collecting triton==3.2.0 (from torch==2.6.0) 2025-09-09T14:09:32.4812507Z Downloading triton-3.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.4 kB) 2025-09-09T14:09:32.4813062Z Collecting sympy==1.13.1 (from torch==2.6.0) 2025-09-09T14:09:32.4813465Z Downloading sympy-1.13.1-py3-none-any.whl.metadata (12 kB) 2025-09-09T14:09:32.4813968Z Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch==2.6.0) 2025-09-09T14:09:32.4814453Z Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB) 2025-09-09T14:09:32.4814926Z Collecting MarkupSafe>=2.0 (from jinja2->torch==2.6.0) 2025-09-09T14:09:32.4815660Z Downloading MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB) 2025-09-09T14:09:32.4816403Z Downloading torch-2.6.0-cp39-cp39-manylinux1_x86_64.whl (766.7 MB) 2025-09-09T14:09:32.4817477Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/766.7 MB ? eta -:--:-- 2025-09-09T14:09:32.4818207Z  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nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB) 2025-09-09T14:09:59.2341112Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/56.3 MB ? eta -:--:-- 2025-09-09T14:09:59.2342230Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.1/56.3 MB 442.5 MB/s eta 0:00:01 2025-09-09T14:09:59.2342916Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.1/56.3 MB 442.5 MB/s eta 0:00:01 2025-09-09T14:09:59.2343596Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.1/56.3 MB 442.5 MB/s eta 0:00:01 2025-09-09T14:09:59.2344230Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 MB 83.8 MB/s 0:00:00 2025-09-09T14:09:59.2344915Z [?25hDownloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB) 2025-09-09T14:09:59.2345617Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/127.9 MB ? eta -:--:-- 2025-09-09T14:09:59.2346555Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 60.8/127.9 MB 305.9 MB/s eta 0:00:01 2025-09-09T14:09:59.2347411Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 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Downloading networkx-3.2.1-py3-none-any.whl (1.6 MB) 2025-09-09T14:10:06.6404574Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.6 MB ? eta -:--:-- 2025-09-09T14:10:06.6405181Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.6/1.6 MB 132.7 MB/s 0:00:00 2025-09-09T14:10:06.6407509Z [?25hInstalling collected packages: triton, nvidia-cusparselt-cu12, mpmath, typing-extensions, sympy, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch 2025-09-09T14:10:06.6409440Z [?25l 2025-09-09T14:10:06.6409774Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/23 [triton] 2025-09-09T14:10:06.6410255Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/23 [triton] 2025-09-09T14:10:06.6410723Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/23 [triton] 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2025-09-09T14:10:28.8686105Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 16/23 [fsspec] 2025-09-09T14:10:28.8686679Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 17/23 [filelock] 2025-09-09T14:10:28.8687275Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8687927Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8688545Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8689561Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8690329Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8690950Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8691570Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8692186Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8692806Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8693427Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8694063Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 18/23 [nvidia-cusparse-cu12] 2025-09-09T14:10:28.8694699Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8695315Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8695917Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8696524Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8697125Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8697731Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8698336Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8699129Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8699741Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8700341Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8700955Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8701571Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8702172Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8702781Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:28.8703399Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:36.0907010Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:36.0907865Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 19/23 [nvidia-cudnn-cu12] 2025-09-09T14:10:36.0908480Z  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2025-09-09T14:10:53.5832097Z [?25h 2025-09-09T14:10:53.5834626Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.9.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-cusparselt-cu12-0.6.2 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.4.127 sympy-1.13.1 torch-2.6.0 triton-3.2.0 typing-extensions-4.15.0 2025-09-09T14:10:53.5838483Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning. 2025-09-09T14:10:53.5840123Z + sed -i '' dev-requirements.txt 2025-09-09T14:10:53.5840433Z + pip install -r dev-requirements.txt 2025-09-09T14:10:53.5840829Z Collecting pytest (from -r dev-requirements.txt (line 2)) 2025-09-09T14:10:53.5841322Z Downloading pytest-8.4.2-py3-none-any.whl.metadata (7.7 kB) 2025-09-09T14:10:53.5841875Z Collecting unittest-xml-reporting (from -r dev-requirements.txt (line 3)) 2025-09-09T14:10:53.5842515Z Downloading unittest_xml_reporting-3.2.0-py2.py3-none-any.whl.metadata (11 kB) 2025-09-09T14:10:53.5843103Z Collecting parameterized (from -r dev-requirements.txt (line 4)) 2025-09-09T14:10:53.5843671Z Downloading parameterized-0.9.0-py2.py3-none-any.whl.metadata (18 kB) 2025-09-09T14:10:53.5844210Z Collecting packaging (from -r dev-requirements.txt (line 5)) 2025-09-09T14:10:53.5844721Z Downloading packaging-25.0-py3-none-any.whl.metadata (3.3 kB) 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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 'rouge-score'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-09-09T14:11:30.4828736Z  Building wheel for rouge-score (setup.py) ... [?25l- done 2025-09-09T14:11:30.4829727Z [?25h Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24988 sha256=567ec1d0b0ac592eda35491399d900669e7b3ebf31ce3375cdee8c812a6baa2e 2025-09-09T14:11:30.4830757Z Stored in directory: /root/.cache/pip/wheels/9b/3d/39/09558097d3119ca0a4d462df68f22c6f3c1b345ac63a09b86e 2025-09-09T14:11:30.4833209Z  DEPRECATION: Building 'sqlitedict' 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 'sqlitedict'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-09-09T14:11:30.4835228Z  Building wheel for sqlitedict (setup.py) ... [?25l- done 2025-09-09T14:11:30.4836220Z [?25h Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16958 sha256=e65780ea5079bd2ddcc4a9bcc6ae1f2c745cb1ac070ad29ec80a4f7866c7e7d3 2025-09-09T14:11:30.4837272Z Stored in directory: /root/.cache/pip/wheels/f6/48/c4/942f7a1d556fddd2348cb9ac262f251873dfd8a39afec5678e 2025-09-09T14:11:30.4839772Z  DEPRECATION: Building 'word2number' 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 'word2number'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-09-09T14:11:30.4841808Z  Building wheel for word2number (setup.py) ... [?25l- done 2025-09-09T14:11:30.4842799Z [?25h Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5658 sha256=9483a65efa79e22bcdb43c9e04b7085e055870931cf98a5bb5f4e6c6f4b4c2ee 2025-09-09T14:11:30.4843841Z Stored in directory: /root/.cache/pip/wheels/a0/4a/5b/d2f2df5c344ddbecb8bea759872c207ea91d93f57fb54e816e 2025-09-09T14:11:30.4844485Z Successfully built rouge-score sqlitedict word2number 2025-09-09T14:11:30.4849781Z Installing collected packages: word2number, sqlitedict, sortedcontainers, pytz, distlib, zstandard, zipp, xxhash, urllib3, tzdata, tqdm, tomli, threadpoolctl, termcolor, tcolorpy, tabulate, six, sentencepiece, safetensors, ruff, regex, pyyaml, pyparsing, pygments, pycryptodomex, pybind11, pyarrow, psutil, propcache, portalocker, pluggy, platformdirs, pillow, pathvalidate, parameterized, packaging, numpy, nodeenv, ninja, multidict, more_itertools, lxml, kiwisolver, joblib, iniconfig, idna, identify, hf-xet, fsspec, frozenlist, fonttools, 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2025-09-09T14:11:44.7869772Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7870311Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7870855Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7871396Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7871946Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7872491Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━  94/109 [pandas] 2025-09-09T14:11:44.7873065Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:44.7873653Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:44.7874212Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:44.7874776Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:52.0527905Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:52.0528558Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━  95/109 [matplotlib] 2025-09-09T14:11:52.0529155Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━  96/109 [huggingface-hub] 2025-09-09T14:11:52.0529755Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━  96/109 [huggingface-hub] 2025-09-09T14:11:52.0530620Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━  98/109 [tokenizers] 2025-09-09T14:11:52.0531367Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  99/109 [bitsandbytes] 2025-09-09T14:11:52.0531943Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  99/109 [bitsandbytes] 2025-09-09T14:11:52.0532517Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  99/109 [bitsandbytes] 2025-09-09T14:11:52.0533080Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  99/109 [bitsandbytes] 2025-09-09T14:11:52.0533666Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━  99/109 [bitsandbytes] 2025-09-09T14:11:52.0534297Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 100/109 [accelerate] 2025-09-09T14:11:52.0534856Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0535472Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0536041Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0536614Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0537183Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0537748Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0538317Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0538878Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0539555Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0540280Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0540850Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0541421Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0541985Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0542560Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0543135Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0543697Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0544349Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0544911Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0545482Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0546326Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0546893Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0547543Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0548103Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0548695Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0549277Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0549837Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0550399Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0550960Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0551525Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0552093Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 101/109 [transformers] 2025-09-09T14:11:52.0552647Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 102/109 [datasets] 2025-09-09T14:11:52.0553506Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 103/109 [DataProperty] 2025-09-09T14:19:12.3190206Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 105/109 [peft] 2025-09-09T14:19:12.3190793Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 107/109 [pytablewriter] 2025-09-09T14:19:12.3191335Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3191848Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3192360Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3192862Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3193375Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3193918Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3194446Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3194954Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3195455Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3195967Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3196488Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3196988Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3197503Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3198380Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3199082Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3199594Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3200104Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 108/109 [lm_eval] 2025-09-09T14:19:12.3200611Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 109/109 [lm_eval] 2025-09-09T14:19:12.3200966Z [?25h 2025-09-09T14:19:12.3208521Z Successfully installed DataProperty-1.1.0 absl-py-2.3.1 accelerate-1.10.1 aiohappyeyeballs-2.6.1 aiohttp-3.12.15 aiosignal-1.4.0 async-timeout-5.0.1 attrs-25.3.0 bitsandbytes-0.47.0 blobfile-3.1.0 certifi-2025.8.3 cfgv-3.4.0 chardet-5.2.0 charset_normalizer-3.4.3 click-8.1.8 cmake-3.31.6 colorama-0.4.6 contourpy-1.3.0 cycler-0.12.1 datasets-3.6.0 dill-0.3.8 diskcache-5.6.3 distlib-0.4.0 evaluate-0.4.5 exceptiongroup-1.3.0 expecttest-0.3.0 fire-0.7.1 fonttools-4.59.2 frozenlist-1.7.0 fsspec-2025.3.0 hf-xet-1.1.9 huggingface-hub-0.34.4 hypothesis-6.138.15 identify-2.6.14 idna-3.10 importlib-resources-6.5.2 importlib_metadata-8.7.0 iniconfig-2.1.0 joblib-1.5.2 jsonlines-4.0.0 kiwisolver-1.4.7 lm_eval-0.4.9.1 lxml-6.0.1 matplotlib-3.9.4 mbstrdecoder-1.1.4 more_itertools-10.8.0 multidict-6.6.4 multiprocess-0.70.16 ninja-1.13.0 nltk-3.9.1 nodeenv-1.9.1 numexpr-2.10.2 numpy-2.0.2 packaging-25.0 pandas-2.3.2 parameterized-0.9.0 pathvalidate-3.3.1 peft-0.17.1 pillow-11.3.0 platformdirs-4.4.0 pluggy-1.6.0 portalocker-3.2.0 pre-commit-4.3.0 propcache-0.3.2 psutil-7.0.0 pyarrow-21.0.0 pybind11-3.0.1 pycocotools-2.0.10 pycryptodomex-3.23.0 pygments-2.19.2 pyparsing-3.2.3 pytablewriter-1.2.1 pytest-8.4.2 python-dateutil-2.9.0.post0 pytz-2025.2 pyyaml-6.0.2 regex-2025.9.1 requests-2.32.5 rouge-score-0.1.2 ruff-0.11.6 sacrebleu-2.5.1 safetensors-0.6.2 scikit-learn-1.6.1 scipy-1.13.1 sentencepiece-0.2.1 six-1.17.0 sortedcontainers-2.4.0 sqlitedict-2.1.0 tabledata-1.3.4 tabulate-0.9.0 tcolorpy-0.1.7 termcolor-3.1.0 threadpoolctl-3.6.0 tiktoken-0.11.0 tokenizers-0.22.0 tomli-2.2.1 tqdm-4.67.1 tqdm-multiprocess-0.0.11 transformers-4.56.1 typepy-1.3.4 tzdata-2025.2 unittest-xml-reporting-3.2.0 urllib3-2.5.0 virtualenv-20.34.0 word2number-1.1 xxhash-3.5.0 yarl-1.20.1 zipp-3.23.0 zstandard-0.24.0 2025-09-09T14:19:12.3216652Z 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. 2025-09-09T14:19:12.3218310Z + pip install . 2025-09-09T14:19:12.3218532Z Processing /pytorch/ao 2025-09-09T14:19:12.3218880Z Preparing metadata (setup.py) ... [?25l- done 2025-09-09T14:19:12.3219322Z [?25hBuilding wheels for collected packages: torchao 2025-09-09T14:19:12.3221528Z  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 2025-09-09T14:19:12.3223687Z  Building wheel for torchao (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | done 2025-09-09T14:19:12.3224879Z [?25h Created wheel for torchao: filename=torchao-0.14.0+git7c05f81-cp39-abi3-linux_x86_64.whl size=7963185 sha256=07bc30422de619d83d1c3e16a518ef52616ae441da45fe106d640a566225b944 2025-09-09T14:19:12.3226083Z Stored in directory: /tmp/pip-ephem-wheel-cache-xi12fwc_/wheels/4d/54/dc/0c70e60a8677bf126f1486798ebe76c8770ada66c7376b401d 2025-09-09T14:19:12.3226850Z Successfully built torchao 2025-09-09T14:19:12.3227286Z Installing collected packages: torchao 2025-09-09T14:19:12.3227640Z Successfully installed torchao-0.14.0+git7c05f81 2025-09-09T14:19:12.3229528Z 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. 2025-09-09T14:19:12.3231142Z ++++ which conda 2025-09-09T14:19:12.3231388Z +++ dirname /opt/conda/condabin/conda 2025-09-09T14:19:12.3231686Z ++ dirname /opt/conda/condabin 2025-09-09T14:19:12.3231954Z + export CONDA=/opt/conda 2025-09-09T14:19:12.3232184Z + CONDA=/opt/conda 2025-09-09T14:19:12.3232717Z + export LD_LIBRARY_PATH=/opt/conda/lib/:/opt/rh/gcc-toolset-11/root/usr/lib64:/opt/rh/gcc-toolset-11/root/usr/lib: 2025-09-09T14:19:12.3233574Z + LD_LIBRARY_PATH=/opt/conda/lib/:/opt/rh/gcc-toolset-11/root/usr/lib64:/opt/rh/gcc-toolset-11/root/usr/lib: 2025-09-09T14:19:12.3234132Z + pytest test --verbose -s 2025-09-09T14:19:12.3234529Z ============================= test session starts ============================== 2025-09-09T14:19:12.3235088Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3.9 2025-09-09T14:19:12.3235579Z cachedir: .pytest_cache 2025-09-09T14:19:12.3236196Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:19:12.3236885Z rootdir: /pytorch/ao 2025-09-09T14:19:12.3237154Z plugins: hypothesis-6.138.15 2025-09-09T14:19:12.3237450Z collecting ...  2025-09-09T14:19:12.3237861Z collecting 0 items  2025-09-09T14:19:22.7605553Z collecting 26 items  2025-09-09T14:19:22.7606196Z collecting 59 items  2025-09-09T14:19:22.7606737Z collecting 273 items  2025-09-09T14:19:22.7607305Z collecting 1031 items / 3 skipped  2025-09-09T14:19:22.7608685Z collecting 1072 items / 5 skipped NOTE: Using slow Hadamard transform for SpinQuant. For better performance on GPU, install `fast_hadamard_transform`: `pip install git+https://github.com/Dao-AILab/fast-hadamard-transform.git` 2025-09-09T14:19:22.7609741Z  2025-09-09T14:19:22.7610137Z collecting 1484 items / 19 skipped  2025-09-09T14:19:22.7610753Z collecting 2120 items / 19 skipped  2025-09-09T14:19:22.7611379Z collecting 4108 items / 19 skipped  2025-09-09T14:19:22.7611983Z collected 5480 items / 19 skipped  2025-09-09T14:19:22.7612308Z 2025-09-09T14:19:22.7612728Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config0] PASSED 2025-09-09T14:19:22.7613512Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config1] PASSED 2025-09-09T14:19:22.7614295Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config2] PASSED 2025-09-09T14:19:22.7615068Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config3] PASSED 2025-09-09T14:19:22.7615847Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config4] PASSED 2025-09-09T14:19:22.7616627Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config5] PASSED 2025-09-09T14:19:22.7617651Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config6] PASSED 2025-09-09T14:19:22.7618565Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config7] PASSED 2025-09-09T14:19:22.7619341Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config8] PASSED 2025-09-09T14:19:22.7620121Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config9] PASSED 2025-09-09T14:19:22.7620909Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config10] PASSED 2025-09-09T14:19:22.7621694Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config11] PASSED 2025-09-09T14:19:22.7622483Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config12] PASSED 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test/core/test_config.py::test_reconstructable_dict_file_round_trip[config21] PASSED 2025-09-09T14:19:22.7630445Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config22] PASSED 2025-09-09T14:19:22.7631118Z test/core/test_config.py::test_disallowed_modules PASSED 2025-09-09T14:19:22.7631682Z test/core/test_config.py::test_version_mismatch PASSED 2025-09-09T14:19:22.7632215Z test/core/test_config.py::test_default_version PASSED 2025-09-09T14:19:22.7633022Z test/dtypes/test_affine_quantized.py::TestAffineQuantized::test_copy__mismatch_metadata_apply_quant0 PASSED 2025-09-09T14:19:22.7634043Z test/dtypes/test_affine_quantized.py::TestAffineQuantized::test_copy__mismatch_metadata_apply_quant1 PASSED 2025-09-09T14:19:22.7635052Z test/dtypes/test_affine_quantized.py::TestAffineQuantized::test_copy__mismatch_metadata_apply_quant2 PASSED 2025-09-09T14:19:22.7636186Z test/dtypes/test_affine_quantized.py::TestAffineQuantized::test_copy__mismatch_metadata_apply_quant3 PASSED 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test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity0_sizes1 SKIPPED 2025-09-09T14:19:22.8377330Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity1_sizes0 SKIPPED 2025-09-09T14:19:22.8378908Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity1_sizes1 SKIPPED 2025-09-09T14:19:22.8380279Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_weight_dimension_warning SKIPPED 2025-09-09T14:19:22.8381417Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_invalid_granularity SKIPPED 2025-09-09T14:19:22.8382524Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mismatched_granularity SKIPPED 2025-09-09T14:19:22.8383891Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_False SKIPPED 2025-09-09T14:19:22.8385452Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_True SKIPPED 2025-09-09T14:19:22.8387012Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_False SKIPPED 2025-09-09T14:19:22.8388640Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_True SKIPPED 2025-09-09T14:19:22.8390310Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_False SKIPPED 2025-09-09T14:19:22.8392210Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_True SKIPPED 2025-09-09T14:19:22.8393777Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_False SKIPPED 2025-09-09T14:19:22.8395502Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_True SKIPPED 2025-09-09T14:19:22.8397063Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_False SKIPPED 2025-09-09T14:19:22.8398628Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_True SKIPPED 2025-09-09T14:19:22.8400395Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_False SKIPPED 2025-09-09T14:19:22.8402145Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_True SKIPPED 2025-09-09T14:19:22.8403705Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_False SKIPPED 2025-09-09T14:19:22.8405253Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_True SKIPPED 2025-09-09T14:19:22.8406801Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_False SKIPPED 2025-09-09T14:19:22.8408354Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_True SKIPPED 2025-09-09T14:19:22.8409894Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_False SKIPPED 2025-09-09T14:19:22.8411465Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_True SKIPPED 2025-09-09T14:19:22.8413023Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_False SKIPPED 2025-09-09T14:19:22.8414570Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_True SKIPPED 2025-09-09T14:20:29.1446602Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_False SKIPPED 2025-09-09T14:20:29.1448258Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_True SKIPPED 2025-09-09T14:20:29.1449874Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_False SKIPPED 2025-09-09T14:20:29.1451433Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_True SKIPPED 2025-09-09T14:20:29.1452992Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_False SKIPPED 2025-09-09T14:20:29.1454535Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_True SKIPPED 2025-09-09T14:20:29.1456084Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_False SKIPPED 2025-09-09T14:20:29.1458523Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_True SKIPPED 2025-09-09T14:20:29.1460084Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_False SKIPPED 2025-09-09T14:20:29.1461761Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_True SKIPPED 2025-09-09T14:20:29.1463085Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_per_row_with_float32 SKIPPED 2025-09-09T14:20:29.1464229Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_preprocess_scale_3d_reshape PASSED 2025-09-09T14:20:29.1465399Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_dynamic SKIPPED 2025-09-09T14:20:29.1466551Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_static SKIPPED 2025-09-09T14:20:29.1467803Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_weight-only SKIPPED 2025-09-09T14:20:29.1468963Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_unsupported_granularity SKIPPED 2025-09-09T14:20:29.1471949Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestInt8woAffineQuantizedTensorParallel::test_tp_bfloat16 [rank0]:E0909 14:19:36.509001 1263 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/qd/cqd6sddvne3gtkq63n5w4vjjgej3sgixoc2lxwyvmeuktbwojogu.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1476393Z [rank3]:E0909 14:19:36.518165 1266 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ep/ceps2qhxmkxhneriiwa2bkskmfwrwpeci3nh627462kli33uxlzy.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1480372Z [rank2]:E0909 14:19:36.778646 1265 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/lg/clgmm65vt7kez7dvdb72lwzzg5s2qhvuja3pxvs2to5ck7h4kh4a.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1484456Z [rank1]:E0909 14:19:36.834320 1264 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/w2/cw2hzxqfuwrs757g5pmehgfdkyrbelpyydrby52pwghd5k6z6wvx.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1486605Z PASSED 2025-09-09T14:20:29.1489262Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestInt8woAffineQuantizedTensorParallel::test_tp_float16 [rank3]:E0909 14:19:54.415463 3175 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/fp/cfpxupw6ymhlwzgwqea5js5tdzntl22a4qjzgqsdspehi54sl7fe.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1493885Z [rank2]:E0909 14:19:54.426262 3174 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/tk/ctkjhd2jwsb3gogmynemryczyhovct7nyp2xp4it4esqhbgwn2hn.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1497913Z [rank1]:E0909 14:19:54.457682 3173 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/gx/cgx4daxyqvuompcz2wrtv5had2tezlsuu3zdbzdqzcvskgcoy7zc.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1501923Z [rank0]:E0909 14:19:54.484125 3172 site-packages/torch/_inductor/select_algorithm.py:1477] [0/0] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/l3/cl3yppgfubnci36bppromuta4cqzi2u4bx2tf3rsne74fiafkdjj.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:20:29.1504078Z PASSED 2025-09-09T14:20:29.1504798Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestInt8woAffineQuantizedTensorParallel::test_tp_float32 PASSED 2025-09-09T14:20:29.1506030Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestInt4woAffineQuantizedTensorParallel::test_tp_bfloat16 SKIPPED 2025-09-09T14:20:29.1507408Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestGemliteLayoutTensorParallel::test_tp_gemlite_float16 SKIPPED 2025-09-09T14:20:29.1508588Z test/dtypes/test_affine_quantized_tensor_parallel.py::TestInt8dqAffineQuantizedTensorParallel::test_tp_bfloat16 PASSED 2025-09-09T14:20:29.1509432Z test/dtypes/test_bitpacking.py::test_CPU[0-1] PASSED 2025-09-09T14:20:29.1509969Z test/dtypes/test_bitpacking.py::test_CPU[0-2] PASSED 2025-09-09T14:20:29.1510510Z test/dtypes/test_bitpacking.py::test_CPU[0-3] PASSED 2025-09-09T14:20:29.1511035Z test/dtypes/test_bitpacking.py::test_CPU[0-4] PASSED 2025-09-09T14:20:29.1511565Z test/dtypes/test_bitpacking.py::test_CPU[0-5] PASSED 2025-09-09T14:20:29.1512091Z test/dtypes/test_bitpacking.py::test_CPU[0-6] PASSED 2025-09-09T14:20:29.1512617Z test/dtypes/test_bitpacking.py::test_CPU[0-7] PASSED 2025-09-09T14:20:29.1513141Z test/dtypes/test_bitpacking.py::test_CPU[-1-1] PASSED 2025-09-09T14:20:29.1513798Z test/dtypes/test_bitpacking.py::test_CPU[-1-2] PASSED 2025-09-09T14:20:29.1514332Z test/dtypes/test_bitpacking.py::test_CPU[-1-3] PASSED 2025-09-09T14:20:29.1514857Z test/dtypes/test_bitpacking.py::test_CPU[-1-4] PASSED 2025-09-09T14:22:22.1991484Z test/dtypes/test_bitpacking.py::test_CPU[-1-5] PASSED 2025-09-09T14:22:22.1993896Z test/dtypes/test_bitpacking.py::test_CPU[-1-6] PASSED 2025-09-09T14:22:22.1995079Z test/dtypes/test_bitpacking.py::test_CPU[-1-7] PASSED 2025-09-09T14:22:22.1995746Z test/dtypes/test_bitpacking.py::test_CPU[1-1] PASSED 2025-09-09T14:22:22.1996576Z test/dtypes/test_bitpacking.py::test_CPU[1-2] PASSED 2025-09-09T14:22:22.1997276Z test/dtypes/test_bitpacking.py::test_CPU[1-3] PASSED 2025-09-09T14:22:22.1997971Z test/dtypes/test_bitpacking.py::test_CPU[1-4] PASSED 2025-09-09T14:22:22.1998633Z test/dtypes/test_bitpacking.py::test_CPU[1-5] PASSED 2025-09-09T14:22:22.1999150Z test/dtypes/test_bitpacking.py::test_CPU[1-6] PASSED 2025-09-09T14:22:22.1999719Z test/dtypes/test_bitpacking.py::test_CPU[1-7] PASSED 2025-09-09T14:22:22.2000254Z test/dtypes/test_bitpacking.py::test_GPU[0-1] PASSED 2025-09-09T14:22:22.2000778Z test/dtypes/test_bitpacking.py::test_GPU[0-2] PASSED 2025-09-09T14:22:22.2001298Z test/dtypes/test_bitpacking.py::test_GPU[0-3] PASSED 2025-09-09T14:22:22.2001839Z test/dtypes/test_bitpacking.py::test_GPU[0-4] PASSED 2025-09-09T14:22:22.2002370Z test/dtypes/test_bitpacking.py::test_GPU[0-5] PASSED 2025-09-09T14:22:22.2002889Z test/dtypes/test_bitpacking.py::test_GPU[0-6] PASSED 2025-09-09T14:22:22.2003415Z test/dtypes/test_bitpacking.py::test_GPU[0-7] PASSED 2025-09-09T14:22:22.2003937Z test/dtypes/test_bitpacking.py::test_GPU[-1-1] PASSED 2025-09-09T14:22:22.2004471Z test/dtypes/test_bitpacking.py::test_GPU[-1-2] PASSED 2025-09-09T14:22:22.2004995Z test/dtypes/test_bitpacking.py::test_GPU[-1-3] PASSED 2025-09-09T14:22:22.2005530Z test/dtypes/test_bitpacking.py::test_GPU[-1-4] PASSED 2025-09-09T14:22:22.2006064Z test/dtypes/test_bitpacking.py::test_GPU[-1-5] PASSED 2025-09-09T14:22:22.2006592Z test/dtypes/test_bitpacking.py::test_GPU[-1-6] PASSED 2025-09-09T14:22:22.2007124Z test/dtypes/test_bitpacking.py::test_GPU[-1-7] PASSED 2025-09-09T14:22:22.2007665Z test/dtypes/test_bitpacking.py::test_GPU[1-1] PASSED 2025-09-09T14:22:22.2008190Z test/dtypes/test_bitpacking.py::test_GPU[1-2] PASSED 2025-09-09T14:22:22.2008718Z test/dtypes/test_bitpacking.py::test_GPU[1-3] PASSED 2025-09-09T14:22:22.2009249Z test/dtypes/test_bitpacking.py::test_GPU[1-4] PASSED 2025-09-09T14:22:22.2009780Z test/dtypes/test_bitpacking.py::test_GPU[1-5] PASSED 2025-09-09T14:22:22.2010290Z test/dtypes/test_bitpacking.py::test_GPU[1-6] PASSED 2025-09-09T14:22:22.2010817Z test/dtypes/test_bitpacking.py::test_GPU[1-7] PASSED 2025-09-09T14:22:22.2011358Z test/dtypes/test_bitpacking.py::test_compile[0-1] PASSED 2025-09-09T14:22:22.2011929Z test/dtypes/test_bitpacking.py::test_compile[0-2] PASSED 2025-09-09T14:22:22.2012491Z test/dtypes/test_bitpacking.py::test_compile[0-3] PASSED 2025-09-09T14:22:22.2013050Z test/dtypes/test_bitpacking.py::test_compile[0-4] PASSED 2025-09-09T14:22:22.2013617Z test/dtypes/test_bitpacking.py::test_compile[0-5] PASSED 2025-09-09T14:22:22.2014175Z test/dtypes/test_bitpacking.py::test_compile[0-6] PASSED 2025-09-09T14:22:22.2014741Z test/dtypes/test_bitpacking.py::test_compile[0-7] PASSED 2025-09-09T14:22:22.2015302Z test/dtypes/test_bitpacking.py::test_compile[-1-1] PASSED 2025-09-09T14:22:22.2015874Z test/dtypes/test_bitpacking.py::test_compile[-1-2] PASSED 2025-09-09T14:22:22.2016436Z test/dtypes/test_bitpacking.py::test_compile[-1-3] PASSED 2025-09-09T14:22:22.2017003Z test/dtypes/test_bitpacking.py::test_compile[-1-4] PASSED 2025-09-09T14:22:22.2017572Z test/dtypes/test_bitpacking.py::test_compile[-1-5] PASSED 2025-09-09T14:22:22.2018130Z test/dtypes/test_bitpacking.py::test_compile[-1-6] PASSED 2025-09-09T14:22:22.2018698Z test/dtypes/test_bitpacking.py::test_compile[-1-7] PASSED 2025-09-09T14:22:22.2019254Z test/dtypes/test_bitpacking.py::test_compile[1-1] PASSED 2025-09-09T14:22:22.2019922Z test/dtypes/test_bitpacking.py::test_compile[1-2] PASSED 2025-09-09T14:22:22.2020476Z test/dtypes/test_bitpacking.py::test_compile[1-3] PASSED 2025-09-09T14:22:22.2021101Z test/dtypes/test_bitpacking.py::test_compile[1-4] PASSED 2025-09-09T14:22:22.2021660Z test/dtypes/test_bitpacking.py::test_compile[1-5] PASSED 2025-09-09T14:22:22.2022217Z test/dtypes/test_bitpacking.py::test_compile[1-6] PASSED 2025-09-09T14:22:22.2022781Z test/dtypes/test_bitpacking.py::test_compile[1-7] PASSED 2025-09-09T14:22:22.2023599Z test/dtypes/test_bitpacking.py::test_pack_example tensor([ 0, 105, 151, 37], device='cuda:0', dtype=torch.uint8) tensor([ 39, 146], device='cuda:0', dtype=torch.uint8) 2025-09-09T14:22:22.2024348Z PASSED 2025-09-09T14:22:22.2024900Z test/dtypes/test_bitpacking.py::test_pack_example_CPU tensor([ 0, 105, 151, 37], dtype=torch.uint8) tensor([ 39, 146], dtype=torch.uint8) 2025-09-09T14:22:22.2025549Z PASSED 2025-09-09T14:22:22.2026292Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_2_mbits_2_bias_False_bfloat16 PASSED 2025-09-09T14:22:22.2027597Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_2_mbits_2_bias_False_float16 PASSED 2025-09-09T14:22:22.2028801Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_2_mbits_2_bias_True_bfloat16 PASSED 2025-09-09T14:22:22.2030049Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_2_mbits_2_bias_True_float16 PASSED 2025-09-09T14:22:22.2031234Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_3_mbits_2_bias_False_bfloat16 PASSED 2025-09-09T14:22:22.2032437Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_3_mbits_2_bias_False_float16 PASSED 2025-09-09T14:22:22.2033626Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_3_mbits_2_bias_True_bfloat16 PASSED 2025-09-09T14:22:22.2034839Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_fpx_weight_only_ebits_3_mbits_2_bias_True_float16 PASSED 2025-09-09T14:22:22.2036060Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_scaled_tc_floatx_compile_ebits_2_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2037310Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_scaled_tc_floatx_compile_ebits_2_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2038566Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_scaled_tc_floatx_compile_ebits_3_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2039818Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_scaled_tc_floatx_compile_ebits_3_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2041062Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_tc_floatx_correctness_ebits_2_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2042312Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_tc_floatx_correctness_ebits_2_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2043544Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_tc_floatx_correctness_ebits_3_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2044788Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_from_tc_floatx_correctness_ebits_3_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2045950Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_pack_tc_fp6_correctness_device_cpu PASSED 2025-09-09T14:22:22.2047202Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_pack_tc_fp6_correctness_device_cuda PASSED 2025-09-09T14:22:22.2048258Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_copy_device_ebits_2_mbits_2 PASSED 2025-09-09T14:22:22.2049425Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_copy_device_ebits_3_mbits_2 PASSED 2025-09-09T14:22:22.2050666Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_scaled_tc_floatx_compile_ebits_2_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2051906Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_scaled_tc_floatx_compile_ebits_2_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2053132Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_scaled_tc_floatx_compile_ebits_3_mbits_2_device_cpu PASSED 2025-09-09T14:22:22.2054365Z test/dtypes/test_floatx.py::TestFloatxTensorCoreAQTTensorImpl::test_to_scaled_tc_floatx_compile_ebits_3_mbits_2_device_cuda PASSED 2025-09-09T14:22:22.2055349Z test/dtypes/test_nf4.py::TestNF4Linear::test_backward_dtype_match_bfloat16 PASSED 2025-09-09T14:22:22.2056096Z test/dtypes/test_nf4.py::TestNF4Linear::test_backward_dtype_match_float16 PASSED 2025-09-09T14:22:22.2056861Z test/dtypes/test_nf4.py::TestNF4Linear::test_backward_dtype_match_float32 PASSED 2025-09-09T14:22:22.2057725Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape0_chunk_size_16 PASSED 2025-09-09T14:22:22.2058695Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape0_chunk_size_32 PASSED 2025-09-09T14:22:22.2059651Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape0_chunk_size_8 PASSED 2025-09-09T14:22:22.2060598Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape1_chunk_size_16 PASSED 2025-09-09T14:22:22.2061557Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape1_chunk_size_32 PASSED 2025-09-09T14:22:22.2062491Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_bfloat16_shape1_chunk_size_8 PASSED 2025-09-09T14:22:22.2063452Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape0_chunk_size_16 PASSED 2025-09-09T14:22:22.2064415Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape0_chunk_size_32 PASSED 2025-09-09T14:22:22.2065346Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape0_chunk_size_8 PASSED 2025-09-09T14:22:41.1020572Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape1_chunk_size_16 PASSED 2025-09-09T14:22:41.1021574Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape1_chunk_size_32 PASSED 2025-09-09T14:22:41.1022507Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float16_shape1_chunk_size_8 PASSED 2025-09-09T14:22:41.1023431Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape0_chunk_size_16 PASSED 2025-09-09T14:22:41.1024383Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape0_chunk_size_32 PASSED 2025-09-09T14:22:41.1025346Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape0_chunk_size_8 PASSED 2025-09-09T14:22:41.1026285Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape1_chunk_size_16 PASSED 2025-09-09T14:22:41.1027307Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape1_chunk_size_32 PASSED 2025-09-09T14:22:41.1028228Z test/dtypes/test_nf4.py::TestNF4Linear::test_chunk_size_equivalence_float32_shape1_chunk_size_8 PASSED 2025-09-09T14:22:41.1029031Z test/dtypes/test_nf4.py::TestNF4Linear::test_empty_like_input_size0 PASSED 2025-09-09T14:22:41.1029721Z test/dtypes/test_nf4.py::TestNF4Linear::test_empty_like_input_size1 PASSED 2025-09-09T14:22:41.1030453Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_diff_meta_bfloat16 PASSED 2025-09-09T14:22:41.1031455Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_diff_meta_float16 PASSED 2025-09-09T14:22:41.1032385Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_diff_meta_float32 PASSED 2025-09-09T14:22:41.1033157Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_same_meta_bfloat16 PASSED 2025-09-09T14:22:41.1033916Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_same_meta_float16 PASSED 2025-09-09T14:22:41.1034665Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_nf4_same_meta_float32 PASSED 2025-09-09T14:22:41.1035419Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_state_dicts_bfloat16 PASSED 2025-09-09T14:22:41.1036164Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_state_dicts_float16 PASSED 2025-09-09T14:22:41.1036911Z test/dtypes/test_nf4.py::TestNF4Linear::test_load_from_state_dicts_float32 PASSED 2025-09-09T14:22:41.1037635Z test/dtypes/test_nf4.py::TestNF4Linear::test_nf4_bnb_linear_bfloat16 PASSED 2025-09-09T14:22:41.1038327Z test/dtypes/test_nf4.py::TestNF4Linear::test_nf4_bnb_linear_float16 PASSED 2025-09-09T14:22:41.1039021Z test/dtypes/test_nf4.py::TestNF4Linear::test_nf4_bnb_linear_float32 PASSED 2025-09-09T14:22:41.1039727Z test/dtypes/test_nf4.py::TestNF4Linear::test_output_dtype_match_bfloat16 PASSED 2025-09-09T14:22:41.1040464Z test/dtypes/test_nf4.py::TestNF4Linear::test_output_dtype_match_float16 PASSED 2025-09-09T14:22:41.1041178Z test/dtypes/test_nf4.py::TestNF4Linear::test_output_dtype_match_float32 PASSED 2025-09-09T14:22:41.1041900Z test/dtypes/test_nf4.py::TestNF4Linear::test_quantize_api_compile_False PASSED 2025-09-09T14:22:41.1042624Z test/dtypes/test_nf4.py::TestNF4Linear::test_quantize_api_compile_True PASSED 2025-09-09T14:22:41.1043396Z test/dtypes/test_nf4.py::TestNF4Linear::test_reconstruction_qlora_vs_bnb_bfloat16 PASSED 2025-09-09T14:22:41.1044221Z test/dtypes/test_nf4.py::TestNF4Linear::test_reconstruction_qlora_vs_bnb_float16 PASSED 2025-09-09T14:22:41.1045029Z test/dtypes/test_nf4.py::TestNF4Linear::test_reconstruction_qlora_vs_bnb_float32 PASSED 2025-09-09T14:22:41.1045812Z test/dtypes/test_nf4.py::TestNF4Linear::test_register_nf4_as_param_bfloat16 PASSED 2025-09-09T14:22:41.1046768Z test/dtypes/test_nf4.py::TestNF4Linear::test_register_nf4_as_param_float16 PASSED 2025-09-09T14:22:41.1047513Z test/dtypes/test_nf4.py::TestNF4Linear::test_register_nf4_as_param_float32 PASSED 2025-09-09T14:22:41.1048246Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_bfloat16 PASSED 2025-09-09T14:22:41.1048965Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_compile_bfloat16 AUTOTUNE mm(64x32, 32x32) 2025-09-09T14:22:41.1049944Z triton_mm_2 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:22:41.1050670Z mm 0.0051 ms 80.0% 2025-09-09T14:22:41.1051316Z triton_mm_0 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:22:41.1052431Z triton_mm_1 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1053541Z triton_mm_3 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:22:41.1054645Z triton_mm_4 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:22:41.1055754Z triton_mm_5 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1057104Z triton_mm_6 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1058211Z triton_mm_7 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:22:41.1059316Z triton_mm_8 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:22:41.1060276Z SingleProcess AUTOTUNE benchmarking takes 1.4860 seconds and 1.2823 seconds precompiling for 13 choices 2025-09-09T14:22:41.1060861Z PASSED 2025-09-09T14:22:41.1061338Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_compile_float16 AUTOTUNE mm(64x32, 32x32) 2025-09-09T14:22:41.1061877Z mm 0.0051 ms 100.0% 2025-09-09T14:22:41.1062540Z triton_mm_12 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:22:41.1063658Z triton_mm_13 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1064782Z triton_mm_14 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:22:41.1065899Z triton_mm_15 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:22:41.1067008Z triton_mm_16 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:22:41.1068188Z triton_mm_18 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1069306Z triton_mm_19 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:22:41.1070413Z triton_mm_20 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:22:41.1071523Z triton_mm_21 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:22:41.1072489Z SingleProcess AUTOTUNE benchmarking takes 1.4912 seconds and 1.2790 seconds precompiling for 13 choices 2025-09-09T14:22:41.1073052Z PASSED 2025-09-09T14:22:41.1073528Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_compile_float32 AUTOTUNE mm(64x32, 32x32) 2025-09-09T14:22:41.1074480Z triton_mm_24 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:22:41.1075599Z triton_mm_25 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:22:41.1076713Z triton_mm_26 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:22:41.1077827Z triton_mm_27 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:23:32.2566317Z triton_mm_28 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:23:32.2567718Z triton_mm_30 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:23:32.2569045Z triton_mm_31 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:23:32.2570368Z triton_mm_32 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:23:32.2571689Z triton_mm_33 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:23:32.2573032Z triton_mm_34 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:23:32.2574154Z SingleProcess AUTOTUNE benchmarking takes 1.4898 seconds and 1.3206 seconds precompiling for 13 choices 2025-09-09T14:23:32.2575068Z PASSED 2025-09-09T14:23:32.2575663Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_float16 PASSED 2025-09-09T14:23:32.2576512Z test/dtypes/test_nf4.py::TestNF4Linear::test_smoketest_linear_float32 PASSED 2025-09-09T14:23:32.2577302Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_bfloat16 PASSED 2025-09-09T14:23:32.2578053Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_device PASSED 2025-09-09T14:23:32.2578805Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float16 PASSED 2025-09-09T14:23:32.2579550Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float32 PASSED 2025-09-09T14:23:32.2580295Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_dtype_bfloat16 PASSED 2025-09-09T14:23:32.2581052Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_dtype_float16 PASSED 2025-09-09T14:23:32.2581797Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_dtype_float32 PASSED 2025-09-09T14:23:32.2582521Z test/dtypes/test_nf4.py::TestFSDPOps::test_pin_memory PASSED 2025-09-09T14:23:32.2583313Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_2d_view_valid_input_size0 PASSED 2025-09-09T14:23:32.2584221Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_as_strided_invalid_input_size0 PASSED 2025-09-09T14:23:32.2585149Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_as_strided_invalid_input_size1 PASSED 2025-09-09T14:23:32.2586062Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_as_strided_valid_input_size1 PASSED 2025-09-09T14:23:32.2586981Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_as_strided_valid_input_size2 PASSED 2025-09-09T14:23:32.2588037Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_as_strided_valid_input_size_262144 PASSED 2025-09-09T14:23:32.2588931Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_deepcopy_input_size1 PASSED 2025-09-09T14:23:32.2589769Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_deepcopy_input_size2 PASSED 2025-09-09T14:23:32.2590628Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_deepcopy_input_size_262144 PASSED 2025-09-09T14:23:32.2591543Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_invalid_input_size1 PASSED 2025-09-09T14:23:32.2592466Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_invalid_input_size2 PASSED 2025-09-09T14:23:32.2593418Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_invalid_input_size_262144 PASSED 2025-09-09T14:23:32.2594580Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_valid_input_size1 PASSED 2025-09-09T14:23:32.2595560Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_valid_input_size2 PASSED 2025-09-09T14:23:32.2596506Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_new_zeros_valid_input_size_262144 PASSED 2025-09-09T14:23:32.2597373Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_slice_1d_invalid PASSED 2025-09-09T14:23:32.2598170Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_slice_2d_invalid PASSED 2025-09-09T14:23:32.2599005Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_slice_valid_input_size1 PASSED 2025-09-09T14:23:32.2599859Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_slice_valid_input_size2 PASSED 2025-09-09T14:23:32.2600750Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_slice_valid_input_size_262144 PASSED 2025-09-09T14:23:32.2601642Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_view_invalid_input_size0 PASSED 2025-09-09T14:23:32.2602511Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_view_valid_input_size0 PASSED 2025-09-09T14:23:32.2603379Z test/dtypes/test_nf4.py::TestFSDPOps::test_tensor_view_valid_input_size1 PASSED 2025-09-09T14:23:32.2604118Z test/dtypes/test_nf4.py::TestFSDPOps::test_to_cpu PASSED 2025-09-09T14:23:32.2604774Z test/dtypes/test_nf4.py::TestFSDPOps::test_to_cuda PASSED 2025-09-09T14:23:32.2605430Z test/dtypes/test_nf4.py::TestFSDPOps::test_to_module PASSED 2025-09-09T14:23:32.2606217Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_invalid_3d_input_size0 PASSED 2025-09-09T14:23:32.2607165Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_invalid_divide_input_size1 PASSED 2025-09-09T14:23:32.2608194Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_invalid_divide_input_size2 PASSED 2025-09-09T14:23:32.2609062Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_invalid_divide_input_size_261632 PASSED 2025-09-09T14:23:32.2609860Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_valid_input_size1 PASSED 2025-09-09T14:23:32.2610587Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_valid_input_size2 PASSED 2025-09-09T14:23:32.2611332Z test/dtypes/test_nf4.py::TestFSDPOps::test_torch_chunk_valid_input_size_262144 PASSED 2025-09-09T14:23:32.2611962Z test/dtypes/test_nf4.py::TestQLoRA::test_qlora_fsdp2 dist init r=0, world=2 2025-09-09T14:23:32.2612380Z dist init r=1, world=2 2025-09-09T14:23:32.2612636Z PASSED 2025-09-09T14:23:32.2612965Z test/dtypes/test_nf4.py::TestComm::test_comm dist init r=0, world=2 2025-09-09T14:23:32.2613347Z dist init r=1, world=2 2025-09-09T14:23:32.2613612Z PASSED 2025-09-09T14:23:32.2614038Z test/dtypes/test_uint4.py::TestUInt4::test_basic_tensor_ops SKIPPED 2025-09-09T14:23:32.2614708Z test/dtypes/test_uint4.py::TestUInt4::test_gpu_quant SKIPPED (FAILED...) 2025-09-09T14:23:32.2615385Z test/dtypes/test_uint4.py::TestUInt4::test_pt2e_quant SKIPPED (FAILE...) 2025-09-09T14:23:32.2616111Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype0] PASSED 2025-09-09T14:23:32.2616894Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype1] PASSED 2025-09-09T14:23:32.2617660Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype2] PASSED 2025-09-09T14:23:32.2618440Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype3] PASSED 2025-09-09T14:23:32.2619225Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype4] PASSED 2025-09-09T14:23:32.2620030Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype5] PASSED 2025-09-09T14:23:32.2620802Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[32-dtype6] PASSED 2025-09-09T14:23:32.2621672Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype0] PASSED 2025-09-09T14:23:32.2622536Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype1] PASSED 2025-09-09T14:23:32.2623304Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype2] PASSED 2025-09-09T14:23:32.2624085Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype3] PASSED 2025-09-09T14:23:32.2624856Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype4] PASSED 2025-09-09T14:23:32.2625617Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype5] PASSED 2025-09-09T14:23:32.2626383Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[64-dtype6] PASSED 2025-09-09T14:23:32.2627197Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype0] PASSED 2025-09-09T14:23:32.2627984Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype1] PASSED 2025-09-09T14:23:32.2628767Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype2] PASSED 2025-09-09T14:23:32.2629536Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype3] PASSED 2025-09-09T14:23:32.2630337Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype4] PASSED 2025-09-09T14:23:32.2631382Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype5] PASSED 2025-09-09T14:23:32.2632319Z test/dtypes/test_uintx.py::test_uintx_quant_on_cpu_then_move_to_cuda[128-dtype6] PASSED 2025-09-09T14:23:32.2633226Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype0] PASSED 2025-09-09T14:23:32.2634112Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype1] PASSED 2025-09-09T14:23:32.2635004Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype2] PASSED 2025-09-09T14:23:32.2635889Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype3] PASSED 2025-09-09T14:23:32.2636776Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype4] PASSED 2025-09-09T14:23:32.2637672Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype5] PASSED 2025-09-09T14:23:32.2638570Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-32-dtype6] PASSED 2025-09-09T14:25:44.0356642Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype0] PASSED 2025-09-09T14:25:44.0357459Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype1] PASSED 2025-09-09T14:25:44.0358238Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype2] PASSED 2025-09-09T14:25:44.0359011Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype3] PASSED 2025-09-09T14:25:44.0359797Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype4] PASSED 2025-09-09T14:25:44.0360575Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype5] PASSED 2025-09-09T14:25:44.0361344Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-64-dtype6] PASSED 2025-09-09T14:25:44.0362112Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype0] PASSED 2025-09-09T14:25:44.0362894Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype1] PASSED 2025-09-09T14:25:44.0363670Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype2] PASSED 2025-09-09T14:25:44.0364449Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype3] PASSED 2025-09-09T14:25:44.0365228Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype4] PASSED 2025-09-09T14:25:44.0366477Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype5] PASSED 2025-09-09T14:25:44.0367462Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cpu-128-dtype6] PASSED 2025-09-09T14:25:44.0368236Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype0] PASSED 2025-09-09T14:25:44.0369014Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype1] PASSED 2025-09-09T14:25:44.0369796Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype2] PASSED 2025-09-09T14:25:44.0370563Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype3] PASSED 2025-09-09T14:25:44.0371340Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype4] PASSED 2025-09-09T14:25:44.0372108Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype5] PASSED 2025-09-09T14:25:44.0372885Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-32-dtype6] PASSED 2025-09-09T14:25:44.0373659Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype0] PASSED 2025-09-09T14:25:44.0374420Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype1] PASSED 2025-09-09T14:25:44.0375188Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype2] PASSED 2025-09-09T14:25:44.0375950Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype3] PASSED 2025-09-09T14:25:44.0376718Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype4] PASSED 2025-09-09T14:25:44.0377480Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype5] PASSED 2025-09-09T14:25:44.0378279Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-64-dtype6] PASSED 2025-09-09T14:25:44.0379072Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype0] PASSED 2025-09-09T14:25:44.0379861Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype1] PASSED 2025-09-09T14:25:44.0380639Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype2] PASSED 2025-09-09T14:25:44.0381415Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype3] PASSED 2025-09-09T14:25:44.0382191Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype4] PASSED 2025-09-09T14:25:44.0382966Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype5] PASSED 2025-09-09T14:25:44.0383739Z test/dtypes/test_uintx.py::test_uintx_weight_only_model_quant[cuda-128-dtype6] PASSED 2025-09-09T14:25:44.0384488Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype0] PASSED 2025-09-09T14:25:44.0385205Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype1] PASSED 2025-09-09T14:25:44.0385912Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype2] PASSED 2025-09-09T14:25:44.0386623Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype3] PASSED 2025-09-09T14:25:44.0387400Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype4] PASSED 2025-09-09T14:25:44.0388113Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype5] PASSED 2025-09-09T14:25:44.0388822Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-32-dtype6] PASSED 2025-09-09T14:25:44.0389521Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype0] PASSED 2025-09-09T14:25:44.0390232Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype1] PASSED 2025-09-09T14:25:44.0390940Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype2] PASSED 2025-09-09T14:25:44.0391656Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype3] PASSED 2025-09-09T14:25:44.0392470Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype4] PASSED 2025-09-09T14:25:44.0393258Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype5] PASSED 2025-09-09T14:25:44.0393969Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-64-dtype6] PASSED 2025-09-09T14:25:44.0394680Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype0] PASSED 2025-09-09T14:25:44.0395406Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype1] PASSED 2025-09-09T14:25:44.0396125Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype2] PASSED 2025-09-09T14:25:44.0396837Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype3] PASSED 2025-09-09T14:25:44.0397558Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype4] PASSED 2025-09-09T14:25:44.0398268Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype5] PASSED 2025-09-09T14:25:44.0399004Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cpu-128-dtype6] PASSED 2025-09-09T14:25:44.0399730Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype0] PASSED 2025-09-09T14:25:44.0400453Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype1] PASSED 2025-09-09T14:25:44.0401163Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype2] PASSED 2025-09-09T14:25:44.0401884Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype3] PASSED 2025-09-09T14:25:44.0402591Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype4] PASSED 2025-09-09T14:25:44.0403313Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype5] PASSED 2025-09-09T14:25:44.0404025Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-32-dtype6] PASSED 2025-09-09T14:25:44.0404752Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype0] PASSED 2025-09-09T14:25:44.0405479Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype1] PASSED 2025-09-09T14:25:44.0406184Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype2] PASSED 2025-09-09T14:25:44.0406903Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype3] PASSED 2025-09-09T14:25:44.0407614Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype4] PASSED 2025-09-09T14:25:44.0408330Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype5] PASSED 2025-09-09T14:25:44.0409042Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-64-dtype6] PASSED 2025-09-09T14:25:44.0409761Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype0] PASSED 2025-09-09T14:25:44.0410490Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype1] PASSED 2025-09-09T14:25:44.0411217Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype2] PASSED 2025-09-09T14:25:44.0411947Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype3] PASSED 2025-09-09T14:25:44.0412675Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype4] PASSED 2025-09-09T14:25:44.0413391Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype5] PASSED 2025-09-09T14:25:44.0414115Z test/dtypes/test_uintx.py::test_uintx_weight_only_quant[cuda-128-dtype6] PASSED 2025-09-09T14:25:44.0414786Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype0] PASSED 2025-09-09T14:25:44.0415420Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype1] PASSED 2025-09-09T14:25:44.0416034Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype2] PASSED 2025-09-09T14:25:44.0416657Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype3] PASSED 2025-09-09T14:25:44.0417378Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype4] PASSED 2025-09-09T14:25:44.0417992Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype5] PASSED 2025-09-09T14:25:44.0418689Z test/dtypes/test_uintx.py::test_uintx_target_dtype[dtype6] PASSED 2025-09-09T14:25:44.0419343Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype0] PASSED 2025-09-09T14:25:44.0420019Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype1] PASSED 2025-09-09T14:25:44.0420691Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype2] PASSED 2025-09-09T14:25:44.0421366Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype3] PASSED 2025-09-09T14:25:44.0422043Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype4] PASSED 2025-09-09T14:25:44.0422712Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype5] PASSED 2025-09-09T14:25:44.0423386Z test/dtypes/test_uintx.py::test_uintx_target_dtype_compile[dtype6] PASSED 2025-09-09T14:25:44.0424025Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype0] PASSED 2025-09-09T14:25:45.2938457Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype1] PASSED 2025-09-09T14:25:45.2939116Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype2] PASSED 2025-09-09T14:25:45.2939730Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype3] PASSED 2025-09-09T14:25:45.2940335Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype4] PASSED 2025-09-09T14:25:45.2940935Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype5] PASSED 2025-09-09T14:25:45.2941534Z test/dtypes/test_uintx.py::test_uintx_model_size[dtype6] PASSED 2025-09-09T14:25:45.2942400Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims0-valid.layer-filter_fqns0-True] PASSED 2025-09-09T14:25:45.2943532Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims1-skip_layer.linear-filter_fqns1-False] PASSED 2025-09-09T14:25:45.2944674Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims2-valid.layer-filter_fqns2-False] PASSED 2025-09-09T14:25:45.2945746Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims3-valid.layer-filter_fqns3-True] PASSED 2025-09-09T14:25:45.2947238Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims4-skip_layer.linear-filter_fqns4-False] PASSED 2025-09-09T14:25:45.2948322Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims5-valid.layer-filter_fqns5-False] PASSED 2025-09-09T14:25:45.2949210Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_rowwise PASSED 2025-09-09T14:25:45.2949951Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_tensorwise PASSED 2025-09-09T14:25:45.2950634Z test/float8/test_auto_filter.py::test_partial_fqn_matching PASSED 2025-09-09T14:25:45.2951352Z test/float8/test_base.py::TestFloat8TrainingTensor::test_preserves_dtype PASSED 2025-09-09T14:25:45.2952154Z test/float8/test_base.py::TestFloat8TrainingTensor::test_differentiable_casts PASSED 2025-09-09T14:25:45.2952922Z test/float8/test_base.py::TestFloat8TrainingTensor::test_split_cat PASSED 2025-09-09T14:25:45.2953626Z test/float8/test_base.py::TestFloat8TrainingTensor::test_index_put PASSED 2025-09-09T14:25:45.2954311Z test/float8/test_base.py::TestFloat8TrainingTensor::test_copy_ PASSED 2025-09-09T14:25:45.2954998Z test/float8/test_base.py::TestFloat8TrainingTensor::test_transpose PASSED 2025-09-09T14:25:45.2955834Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape0] PASSED 2025-09-09T14:25:45.2956789Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape1] PASSED 2025-09-09T14:25:45.2957740Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape2] PASSED 2025-09-09T14:25:45.2959065Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape0] PASSED 2025-09-09T14:25:45.2960034Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape1] PASSED 2025-09-09T14:25:45.2960986Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape2] PASSED 2025-09-09T14:25:45.2961948Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape0] PASSED 2025-09-09T14:25:45.2962902Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape1] PASSED 2025-09-09T14:25:45.2963863Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape2] PASSED 2025-09-09T14:25:45.2964826Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape0] PASSED 2025-09-09T14:25:45.2965791Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape1] PASSED 2025-09-09T14:25:45.2966761Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape2] PASSED 2025-09-09T14:25:45.2967625Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_reshape PASSED 2025-09-09T14:25:45.2968778Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape0] SKIPPED 2025-09-09T14:25:45.2970242Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape1] SKIPPED 2025-09-09T14:25:45.2971689Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape2] SKIPPED 2025-09-09T14:25:45.2973175Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape0] SKIPPED 2025-09-09T14:25:45.2974667Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape1] SKIPPED 2025-09-09T14:25:45.2976143Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape2] SKIPPED 2025-09-09T14:25:45.2977681Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape0] SKIPPED 2025-09-09T14:25:45.2979161Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape1] SKIPPED 2025-09-09T14:25:45.2980640Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape2] SKIPPED 2025-09-09T14:25:45.2981725Z test/float8/test_base.py::TestFloat8TrainingTensor::test_fp8_dtype PASSED 2025-09-09T14:25:45.2983025Z 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 2025-09-09T14:25:45.2984825Z 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 2025-09-09T14:25:45.2986615Z 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 2025-09-09T14:25:45.2988528Z 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 2025-09-09T14:25:45.2990506Z 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 2025-09-09T14:25:45.2992304Z 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 2025-09-09T14:25:45.2994085Z 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 2025-09-09T14:25:45.2995877Z 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 2025-09-09T14:25:45.2997676Z 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 2025-09-09T14:25:45.2999462Z 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 2025-09-09T14:25:45.3001248Z 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 2025-09-09T14:25:45.3003043Z 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 2025-09-09T14:25:45.3004822Z 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 2025-09-09T14:25:45.3006613Z 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 2025-09-09T14:25:45.3008421Z 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 2025-09-09T14:25:45.3010204Z 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 2025-09-09T14:25:45.3011985Z 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 2025-09-09T14:25:45.4991800Z 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 2025-09-09T14:25:45.4993618Z 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 2025-09-09T14:25:45.4995386Z 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 2025-09-09T14:25:45.4997166Z 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 2025-09-09T14:25:45.4998937Z 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 2025-09-09T14:25:45.5000702Z 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 2025-09-09T14:25:45.5002732Z 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 2025-09-09T14:25:45.5004263Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5005596Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5006930Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5008262Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5009599Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5010930Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5012255Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5013603Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5014943Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5016277Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5017622Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5018957Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5020284Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5021609Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5022928Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5024255Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5025588Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5026963Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5028385Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5029724Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5031054Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5032564Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5033895Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5035236Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5036566Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5037937Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5039262Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5040615Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5041928Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5043258Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5044586Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5045924Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5047491Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5048844Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5050178Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:45.5051516Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:45.5052817Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype0-True] PASSED 2025-09-09T14:25:45.5054056Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype1-True] PASSED 2025-09-09T14:25:45.5055296Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype2-True] PASSED 2025-09-09T14:25:45.5056508Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype0-True] PASSED 2025-09-09T14:25:45.5057755Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype1-True] PASSED 2025-09-09T14:25:45.5058948Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype2-True] PASSED 2025-09-09T14:25:45.5060193Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype0-True] PASSED 2025-09-09T14:25:45.5061479Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype1-True] PASSED 2025-09-09T14:25:45.5062753Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype2-True] PASSED 2025-09-09T14:25:45.5063942Z test/float8/test_base.py::TestFloat8Linear::test_repr PASSED 2025-09-09T14:25:45.5064587Z test/float8/test_base.py::TestFloat8Linear::test_inference_mode SKIPPED 2025-09-09T14:25:55.6770258Z test/float8/test_base.py::TestFloat8Linear::test_quantize SKIPPED (C...) 2025-09-09T14:25:55.6771090Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype0] SKIPPED 2025-09-09T14:25:55.6771949Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype1] SKIPPED 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test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype0] SKIPPED 2025-09-09T14:25:55.6780041Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype1] SKIPPED 2025-09-09T14:25:55.6780816Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype2] SKIPPED 2025-09-09T14:25:55.6781603Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype0] PASSED 2025-09-09T14:25:55.6782386Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype1] PASSED 2025-09-09T14:25:55.6783157Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype2] PASSED 2025-09-09T14:25:55.6783932Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype3] PASSED 2025-09-09T14:25:55.6784711Z test/float8/test_base.py::TestFloat8LinearUtils::test_fp8_tensor_statistics PASSED 2025-09-09T14:25:55.6785524Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_linears_with_filters PASSED 2025-09-09T14:25:55.6786303Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear PASSED 2025-09-09T14:25:55.6787202Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear_with_children_raises PASSED 2025-09-09T14:25:55.6788066Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears PASSED 2025-09-09T14:25:55.6788912Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears_with_skip PASSED 2025-09-09T14:25:55.6790042Z test/float8/test_compile.py::test_eager_only[dtype0-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:25:55.6791378Z test/float8/test_compile.py::test_eager_only[dtype1-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:25:55.6792695Z test/float8/test_compile.py::test_aot_eager[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED 2025-09-09T14:25:55.6794009Z test/float8/test_compile.py::test_aot_eager[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED 2025-09-09T14:25:55.6795433Z test/float8/test_compile.py::test_inductor_from_config_params[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] SKIPPED 2025-09-09T14:25:55.6797368Z test/float8/test_compile.py::test_inductor_from_config_params[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] SKIPPED 2025-09-09T14:25:55.6798565Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:55.6799518Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:55.6800456Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_input SKIPPED 2025-09-09T14:25:55.6801201Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_output SKIPPED 2025-09-09T14:25:55.6802027Z test/float8/test_compile.py::TestGraphBreaks::test_float8_with_graph_break_in_the_middle SKIPPED 2025-09-09T14:25:55.6812055Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype0] SKIPPED 2025-09-09T14:25:55.6812856Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype1] SKIPPED 2025-09-09T14:25:55.6813637Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype2] SKIPPED 2025-09-09T14:25:55.6814413Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype0] SKIPPED 2025-09-09T14:25:55.6815186Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype1] SKIPPED 2025-09-09T14:25:55.6815968Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype2] SKIPPED 2025-09-09T14:25:55.6816807Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case0] PASSED 2025-09-09T14:25:55.6817702Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case1] PASSED 2025-09-09T14:25:55.6818596Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case2] PASSED 2025-09-09T14:25:55.6819483Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case3] PASSED 2025-09-09T14:25:55.6820374Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case4] PASSED 2025-09-09T14:25:55.6821253Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case5] PASSED 2025-09-09T14:25:55.6822142Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case6] PASSED 2025-09-09T14:25:55.6823026Z test/float8/test_float8_utils.py::test_round_scale_down_to_power_of_2_valid_inputs[test_case7] PASSED 2025-09-09T14:25:55.6823829Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype0] PASSED 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2025-09-09T14:25:55.6831918Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE] SKIPPED 2025-09-09T14:25:55.6833607Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED 2025-09-09T14:25:55.6834660Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_2bit PASSED 2025-09-09T14:25:55.6835259Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_3bit PASSED 2025-09-09T14:25:55.6835865Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_4bit PASSED 2025-09-09T14:25:55.6836455Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_5bit PASSED 2025-09-09T14:25:55.6837049Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_6bit PASSED 2025-09-09T14:25:55.6837644Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_7bit PASSED 2025-09-09T14:25:55.6838248Z test/hqq/test_hqq_affine.py::TestHQQ::test_hqq_plain_8bit PASSED 2025-09-09T14:25:55.6838973Z test/integration/test_integration.py::SmoothquantUnitTest::test_debug_x_absmax PASSED 2025-09-09T14:25:55.6839780Z test/integration/test_integration.py::SmoothquantUnitTest::test_figure_4 PASSED 2025-09-09T14:25:55.6840698Z test/integration/test_integration.py::SmoothquantUnitTest::test_selective_torch_compile PASSED 2025-09-09T14:25:55.6842161Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cpu [W909 14:25:54.318063431 qlinear_dynamic.cpp:252] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator()) 2025-09-09T14:25:55.6843434Z PASSED 2025-09-09T14:25:55.6843989Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cuda PASSED 2025-09-09T14:25:55.6844888Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_edge_cases PASSED 2025-09-09T14:25:55.6845722Z test/integration/test_integration.py::SmoothquantUnitTest::test_swap PASSED 2025-09-09T14:25:55.6846769Z test/integration/test_integration.py::SmoothquantUnitTest::test_tensors PASSED 2025-09-09T14:25:55.6847653Z test/integration/test_integration.py::SmoothquantUnitTest::test_weight_t_and_non_t_numerics_match AUTOTUNE int_mm(32x32, 32x16, 32x16) 2025-09-09T14:25:55.6848752Z triton_mm_36 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:26:17.5582989Z triton_mm_37 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:26:17.5584236Z triton_mm_38 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=2 2025-09-09T14:26:17.5585717Z triton_mm_39 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:26:17.5586895Z SingleProcess AUTOTUNE benchmarking takes 0.4642 seconds and 0.5063 seconds precompiling for 4 choices 2025-09-09T14:26:17.5587767Z PASSED 2025-09-09T14:26:17.5588314Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test__int_mm AUTOTUNE int_mm(32x32, 32x16) 2025-09-09T14:26:17.5589325Z triton_mm_40 0.0041 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:26:17.5590422Z triton_mm_42 0.0041 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=2 2025-09-09T14:26:17.5591505Z triton_mm_41 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:26:17.5593093Z triton_mm_43 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:26:17.5594049Z SingleProcess AUTOTUNE benchmarking takes 0.4629 seconds and 0.4742 seconds precompiling for 4 choices 2025-09-09T14:26:17.5594629Z PASSED 2025-09-09T14:26:17.5595305Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test__int_mm_eager_and_torch_compile_numerics AUTOTUNE int_mm(17x1536, 1536x1536) 2025-09-09T14:26:17.5596451Z triton_mm_56 0.0492 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:26:17.5597563Z triton_mm_52 0.0625 ms 78.7% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:26:17.5598670Z triton_mm_54 0.0625 ms 78.7% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:26:17.5599762Z triton_mm_53 0.0635 ms 77.4% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:17.5600857Z triton_mm_48 0.0840 ms 58.5% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:17.5601953Z triton_mm_50 0.0840 ms 58.5% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:17.5603054Z triton_mm_58 0.0881 ms 55.8% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:26:17.5604188Z triton_mm_51 0.0911 ms 53.9% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:26:17.5605293Z triton_mm_55 0.0911 ms 53.9% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:26:17.5606391Z triton_mm_49 0.1280 ms 38.4% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:17.5607358Z SingleProcess AUTOTUNE benchmarking takes 1.3035 seconds and 3.0968 seconds precompiling for 11 choices 2025-09-09T14:26:17.5607914Z AUTOTUNE int_mm(136x4096, 4096x1536) 2025-09-09T14:26:17.5608603Z triton_mm_64 0.1526 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:26:17.5609719Z triton_mm_67 0.1587 ms 96.1% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:26:17.5610813Z triton_mm_65 0.1618 ms 94.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:26:17.5611912Z triton_mm_63 0.2202 ms 69.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:26:17.5613017Z triton_mm_59 0.2284 ms 66.8% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:17.5614107Z triton_mm_62 0.2724 ms 56.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:26:17.5615408Z triton_mm_61 0.2826 ms 54.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:17.5616519Z triton_mm_66 0.3154 ms 48.4% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:26:17.5617621Z triton_mm_60 0.3656 ms 41.7% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:17.5618739Z triton_mm_68 3.3454 ms 4.6% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=128, BLOCK_N=256, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:26:17.5619713Z SingleProcess AUTOTUNE benchmarking takes 1.4284 seconds and 5.8329 seconds precompiling for 11 choices 2025-09-09T14:26:17.5620286Z PASSED 2025-09-09T14:26:17.5620993Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_dynamic_quant_per_channel_numerics_cpu PASSED 2025-09-09T14:26:17.5622142Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_dynamic_quant_per_channel_numerics_cuda SKIPPED 2025-09-09T14:26:17.5623206Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_per_token_linear_cpu PASSED 2025-09-09T14:26:17.5624188Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_per_token_linear_cuda PASSED 2025-09-09T14:26:17.5625174Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_cpu PASSED 2025-09-09T14:26:17.5626225Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_cuda PASSED 2025-09-09T14:26:17.5627281Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_xpu SKIPPED 2025-09-09T14:26:17.5628369Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_0_cpu SKIPPED 2025-09-09T14:26:17.5629485Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_1_cpu SKIPPED 2025-09-09T14:26:17.5630599Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_2_cpu SKIPPED 2025-09-09T14:26:17.5631724Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_3_cuda SKIPPED 2025-09-09T14:26:17.5632840Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_4_cuda SKIPPED 2025-09-09T14:26:17.5633958Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_5_cuda SKIPPED 2025-09-09T14:26:17.5635103Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_0_cpu SKIPPED 2025-09-09T14:26:17.5636302Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_1_cpu SKIPPED 2025-09-09T14:26:17.5637456Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_2_cpu SKIPPED 2025-09-09T14:26:17.5638605Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_3_cuda SKIPPED 2025-09-09T14:26:17.5639748Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_4_cuda SKIPPED 2025-09-09T14:26:17.5640898Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_5_cuda SKIPPED 2025-09-09T14:26:47.5637380Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:26:47.5638877Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:26:47.5639914Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:26:47.5640933Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:26:47.5641958Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:26:47.5642974Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_5_cuda SKIPPED 2025-09-09T14:26:47.5643953Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_0_cpu SKIPPED 2025-09-09T14:26:47.5644924Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_1_cpu SKIPPED 2025-09-09T14:26:47.5645877Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_2_cpu SKIPPED 2025-09-09T14:26:47.5647142Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_3_cuda AUTOTUNE int_mm(32x64, 64x32, 32x32) 2025-09-09T14:26:47.5648226Z triton_mm_71 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5649335Z triton_mm_72 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:26:47.5650438Z triton_mm_73 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5651551Z triton_mm_74 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5652651Z triton_mm_70 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5653605Z SingleProcess AUTOTUNE benchmarking takes 0.5852 seconds and 0.7097 seconds precompiling for 5 choices 2025-09-09T14:26:47.5654189Z PASSED 2025-09-09T14:26:47.5654783Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:26:47.5655735Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_5_cuda AUTOTUNE int_mm(32x64, 64x32, 32x32) 2025-09-09T14:26:47.5656797Z triton_mm_82 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:26:47.5657912Z triton_mm_84 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5659005Z triton_mm_80 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5660085Z triton_mm_81 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5661171Z triton_mm_83 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5662123Z SingleProcess AUTOTUNE benchmarking takes 0.5845 seconds and 0.6395 seconds precompiling for 5 choices 2025-09-09T14:26:47.5662886Z PASSED 2025-09-09T14:26:47.5663639Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_0_cpu SKIPPED 2025-09-09T14:26:47.5664700Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_1_cpu SKIPPED 2025-09-09T14:26:47.5665716Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_2_cpu SKIPPED 2025-09-09T14:26:47.5666717Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_3_cuda PASSED 2025-09-09T14:26:47.5667807Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_4_cuda PASSED 2025-09-09T14:26:47.5668808Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_5_cuda PASSED 2025-09-09T14:26:47.5669804Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_0_cpu SKIPPED 2025-09-09T14:26:47.5670826Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_1_cpu SKIPPED 2025-09-09T14:26:47.5671831Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_2_cpu SKIPPED 2025-09-09T14:26:47.5672777Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_3_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:26:47.5673844Z triton_mm_86 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5674975Z triton_mm_87 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5676108Z triton_mm_88 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5677242Z triton_mm_90 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5678359Z triton_mm_92 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5679487Z triton_mm_93 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:26:47.5680610Z triton_mm_94 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:26:47.5681737Z triton_mm_91 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5682433Z mm 0.0072 ms 71.4% 2025-09-09T14:26:47.5683081Z triton_mm_85 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:26:47.5684042Z SingleProcess AUTOTUNE benchmarking takes 1.2583 seconds and 1.2793 seconds precompiling for 11 choices 2025-09-09T14:26:47.5684626Z PASSED 2025-09-09T14:26:47.5685194Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_4_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:26:47.5685832Z mm 0.0051 ms 100.0% 2025-09-09T14:26:47.5686498Z triton_mm_96 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5687833Z triton_mm_97 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5688961Z triton_mm_98 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:26:47.5690093Z triton_mm_100 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:26:47.5691223Z triton_mm_101 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5692356Z triton_mm_102 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:26:47.5693501Z triton_mm_103 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:26:47.5694681Z triton_mm_104 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:03.2526918Z triton_mm_95 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:03.2528185Z SingleProcess AUTOTUNE benchmarking takes 1.2551 seconds and 1.2088 seconds precompiling for 11 choices 2025-09-09T14:27:03.2529064Z PASSED 2025-09-09T14:27:03.2529836Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_5_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:27:03.2531029Z triton_mm_106 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:03.2532177Z triton_mm_107 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:03.2533629Z triton_mm_108 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:03.2534868Z triton_mm_110 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:03.2536316Z triton_mm_111 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:03.2537462Z triton_mm_112 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:03.2538644Z triton_mm_113 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:03.2539777Z triton_mm_114 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:03.2540488Z mm 0.0061 ms 83.8% 2025-09-09T14:27:03.2541133Z triton_mm_105 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:03.2542493Z SingleProcess AUTOTUNE benchmarking takes 1.2562 seconds and 1.1571 seconds precompiling for 11 choices 2025-09-09T14:27:03.2543107Z PASSED 2025-09-09T14:27:03.2543903Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:27:03.2544915Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:27:03.2545901Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:27:03.2547507Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:27:03.2548549Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:27:03.2549541Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_5_cuda SKIPPED 2025-09-09T14:27:03.2550518Z test/integration/test_integration.py::TestSubclass::test_autoquantizable_flatten_unflatten PASSED 2025-09-09T14:27:03.2551530Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:27:03.2552602Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:27:03.2553673Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:27:03.2554741Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:27:03.2555816Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:27:03.2556880Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:27:03.2557990Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED 2025-09-09T14:27:03.2559134Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED 2025-09-09T14:27:03.2560267Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED 2025-09-09T14:27:03.2561413Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED 2025-09-09T14:27:03.2562551Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED 2025-09-09T14:27:03.2563694Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_5_cuda PASSED 2025-09-09T14:27:03.2564778Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_0_cpu PASSED 2025-09-09T14:27:03.2565811Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_1_cpu PASSED 2025-09-09T14:27:03.2566840Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_2_cpu PASSED 2025-09-09T14:27:03.2567872Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_3_cuda PASSED 2025-09-09T14:27:03.2568902Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:27:03.2569935Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_5_cuda PASSED 2025-09-09T14:27:03.2570979Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_0_cpu PASSED 2025-09-09T14:27:03.2572218Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_1_cpu PASSED 2025-09-09T14:27:03.2573444Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_2_cpu PASSED 2025-09-09T14:27:03.2574508Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_3_cuda PASSED 2025-09-09T14:27:03.2575575Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_4_cuda PASSED 2025-09-09T14:27:03.2576637Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:27:03.2577579Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_0_cpu SKIPPED 2025-09-09T14:27:03.2578407Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_1_cpu SKIPPED 2025-09-09T14:27:03.2579229Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_2_cpu SKIPPED 2025-09-09T14:27:03.2580063Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_3_cuda SKIPPED 2025-09-09T14:27:03.2580890Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_4_cuda SKIPPED 2025-09-09T14:27:03.2581723Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_5_cuda SKIPPED 2025-09-09T14:27:03.2582674Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_0_cpu SKIPPED 2025-09-09T14:27:03.2583706Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_1_cpu SKIPPED 2025-09-09T14:27:03.2584740Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_2_cpu PASSED 2025-09-09T14:27:03.2585773Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_3_cuda SKIPPED 2025-09-09T14:27:03.2586815Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_4_cuda SKIPPED 2025-09-09T14:27:03.2587896Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_5_cuda AUTOTUNE addmm(16x16, 16x16, 16x16) 2025-09-09T14:27:03.2589012Z triton_mm_115 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:27:03.2590153Z triton_mm_117 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:27:03.2591290Z triton_mm_119 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:27:03.2592417Z triton_mm_116 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:27:26.1003503Z triton_mm_118 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:27:26.1004698Z bias_addmm 0.0061 ms 66.7% 2025-09-09T14:27:26.1004985Z addmm 0.0092 ms 44.6% 2025-09-09T14:27:26.1005490Z SingleProcess AUTOTUNE benchmarking takes 0.7920 seconds and 0.5707 seconds precompiling for 7 choices 2025-09-09T14:27:26.1006263Z PASSED 2025-09-09T14:27:26.1006896Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:27:26.1007877Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:27:26.1008851Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:27:26.1010361Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:27:26.1011346Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:27:26.1012311Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:27:26.1013302Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_0_cpu SKIPPED 2025-09-09T14:27:26.1014315Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_1_cpu SKIPPED 2025-09-09T14:27:26.1015311Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_2_cpu PASSED 2025-09-09T14:27:26.1016319Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_3_cuda SKIPPED 2025-09-09T14:27:26.1017344Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_4_cuda SKIPPED 2025-09-09T14:27:26.1018353Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_5_cuda PASSED 2025-09-09T14:27:26.1019397Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_0_cpu SKIPPED 2025-09-09T14:27:26.1020463Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_1_cpu SKIPPED 2025-09-09T14:27:26.1021530Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_2_cpu PASSED 2025-09-09T14:27:26.1022602Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_3_cuda SKIPPED 2025-09-09T14:27:26.1023674Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_4_cuda SKIPPED 2025-09-09T14:27:26.1024741Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_5_cuda AUTOTUNE addmm(256x16, 256x16, 16x16) 2025-09-09T14:27:26.1025884Z triton_mm_123 0.0042 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:26.1027026Z triton_mm_120 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:26.1028245Z triton_mm_121 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:27:26.1029359Z triton_mm_122 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:27:26.1030490Z triton_mm_124 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:26.1031613Z triton_mm_125 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:26.1032725Z triton_mm_126 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:26.1033859Z triton_mm_127 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:26.1035001Z triton_mm_128 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:27:26.1036301Z triton_mm_129 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:27:26.1037287Z SingleProcess AUTOTUNE benchmarking takes 1.4863 seconds and 1.2019 seconds precompiling for 13 choices 2025-09-09T14:27:26.1037851Z AUTOTUNE addmm(256x8, 256x8, 8x8) 2025-09-09T14:27:26.1038555Z triton_mm_165 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:27:26.1039698Z triton_mm_164 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:26.1040839Z triton_mm_166 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:27:26.1041978Z triton_mm_167 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:26.1043106Z triton_mm_168 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:26.1044235Z triton_mm_169 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:26.1045419Z triton_mm_170 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:26.1046800Z triton_mm_171 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:26.1047938Z triton_mm_172 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:27:26.1049075Z triton_mm_173 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE=None, EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:27:26.1050055Z SingleProcess AUTOTUNE benchmarking takes 1.4844 seconds and 1.2179 seconds precompiling for 13 choices 2025-09-09T14:27:26.1050636Z PASSED 2025-09-09T14:27:26.1051290Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED 2025-09-09T14:27:26.1052341Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED 2025-09-09T14:27:26.1053388Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED 2025-09-09T14:27:26.1054431Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED 2025-09-09T14:27:26.1055476Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED 2025-09-09T14:27:26.1056522Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_5_cuda SKIPPED 2025-09-09T14:27:26.1057512Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_0_cpu SKIPPED 2025-09-09T14:27:26.1058458Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_1_cpu SKIPPED 2025-09-09T14:27:26.1059546Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_2_cpu SKIPPED 2025-09-09T14:27:26.1060597Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_3_cuda PASSED 2025-09-09T14:27:26.1061532Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:27:26.1062465Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_5_cuda PASSED 2025-09-09T14:27:26.1063423Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_00_cpu SKIPPED 2025-09-09T14:27:26.1064407Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_01_cpu SKIPPED 2025-09-09T14:27:26.1065374Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_02_cpu SKIPPED 2025-09-09T14:27:49.2660256Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_03_cpu SKIPPED 2025-09-09T14:27:49.2661536Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_04_cpu SKIPPED 2025-09-09T14:27:49.2662672Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_05_cpu SKIPPED 2025-09-09T14:27:49.2663825Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_06_cuda SKIPPED 2025-09-09T14:27:49.2664971Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_07_cuda SKIPPED 2025-09-09T14:27:49.2666108Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_08_cuda SKIPPED 2025-09-09T14:27:49.2667393Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_09_cuda SKIPPED 2025-09-09T14:27:49.2668534Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_10_cuda SKIPPED 2025-09-09T14:27:49.2669689Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_11_cuda SKIPPED 2025-09-09T14:27:49.2670859Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:27:49.2672009Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:27:49.2673140Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:27:49.2674227Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_3_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:27:49.2675532Z triton_mm_233 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:27:49.2676940Z triton_mm_225 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2678320Z triton_mm_227 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2679698Z triton_mm_229 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2681072Z triton_mm_232 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:27:49.2682448Z triton_mm_223 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:49.2686317Z triton_mm_224 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2687695Z triton_mm_226 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2689062Z triton_mm_228 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2690437Z triton_mm_230 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:49.2691602Z SingleProcess AUTOTUNE benchmarking takes 1.3766 seconds and 2.1439 seconds precompiling for 12 choices 2025-09-09T14:27:49.2692289Z PASSED 2025-09-09T14:27:49.2692974Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_4_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:27:49.2694254Z triton_mm_235 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2695647Z triton_mm_236 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2697040Z triton_mm_237 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2698495Z triton_mm_239 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2699839Z triton_mm_240 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2701078Z triton_mm_241 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:49.2702258Z triton_mm_242 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:49.2703443Z triton_mm_243 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:27:49.2704640Z triton_mm_244 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:27:49.2705815Z triton_mm_238 0.0052 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2706810Z SingleProcess AUTOTUNE benchmarking takes 1.3728 seconds and 1.3636 seconds precompiling for 12 choices 2025-09-09T14:27:49.2707467Z PASSED 2025-09-09T14:27:49.2708045Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_5_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:27:49.2709156Z triton_mm_245 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:27:49.2710524Z triton_mm_246 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2711733Z triton_mm_247 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2712931Z triton_mm_248 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:27:49.2714122Z triton_mm_249 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:27:49.2715320Z triton_mm_250 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2716530Z triton_mm_251 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:27:49.2717721Z triton_mm_252 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:49.2718922Z triton_mm_253 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:27:49.2720122Z triton_mm_254 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:27:49.2721127Z SingleProcess AUTOTUNE benchmarking takes 1.3753 seconds and 1.3069 seconds precompiling for 12 choices 2025-09-09T14:27:49.2721707Z PASSED 2025-09-09T14:27:49.2722334Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_0_cpu PASSED 2025-09-09T14:27:49.2723331Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_1_cpu PASSED 2025-09-09T14:28:32.9815772Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_2_cpu PASSED 2025-09-09T14:28:32.9816790Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_3_cuda AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:28:32.9817936Z triton_mm_272 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:28:32.9819127Z triton_mm_267 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:32.9820338Z triton_mm_268 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:32.9821515Z triton_mm_269 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:32.9822678Z triton_mm_270 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:32.9823902Z triton_mm_271 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:32.9825571Z triton_mm_273 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:28:32.9826306Z fallback_mixed_mm 0.0123 ms 41.7% 2025-09-09T14:28:32.9826845Z SingleProcess AUTOTUNE benchmarking takes 0.9136 seconds and 0.0007 seconds precompiling for 8 choices 2025-09-09T14:28:32.9827552Z PASSED 2025-09-09T14:28:32.9828138Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_4_cuda AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:28:32.9829254Z triton_mm_288 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:32.9830429Z triton_mm_285 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:32.9831615Z triton_mm_286 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:32.9832782Z triton_mm_287 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:32.9833994Z triton_mm_289 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:32.9835161Z triton_mm_290 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:28:32.9836331Z triton_mm_291 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:28:32.9837070Z fallback_mixed_mm 0.0092 ms 44.4% 2025-09-09T14:28:32.9837602Z SingleProcess AUTOTUNE benchmarking takes 0.9126 seconds and 0.0005 seconds precompiling for 8 choices 2025-09-09T14:28:32.9838172Z PASSED 2025-09-09T14:28:32.9838758Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_5_cuda AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:28:32.9839902Z triton_mm_308 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:28:32.9841098Z triton_mm_304 0.0041 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:32.9842281Z triton_mm_306 0.0041 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:32.9843460Z triton_mm_303 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:32.9844640Z triton_mm_305 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:32.9845811Z triton_mm_307 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:32.9847398Z triton_mm_309 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:28:32.9848287Z fallback_mixed_mm 0.0092 ms 44.4% 2025-09-09T14:28:32.9848970Z SingleProcess AUTOTUNE benchmarking takes 0.9182 seconds and 0.0007 seconds precompiling for 8 choices 2025-09-09T14:28:32.9849547Z PASSED 2025-09-09T14:28:32.9850177Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_0_cpu AUTOTUNE packed_linear(32x64, 1459233x1, 32x64) 2025-09-09T14:28:32.9850889Z cpp_packed_gemm_0 0.0058 ms 100.0% 2025-09-09T14:28:32.9851167Z _mkl_linear 0.0310 ms 18.7% 2025-09-09T14:28:32.9851683Z SingleProcess AUTOTUNE benchmarking takes 0.2496 seconds and 2.4103 seconds precompiling for 2 choices 2025-09-09T14:28:32.9852258Z AUTOTUNE packed_linear(32x32, 1459233x1, 32x32) 2025-09-09T14:28:32.9852576Z cpp_packed_gemm_1 0.0058 ms 100.0% 2025-09-09T14:28:32.9852859Z _mkl_linear 0.0291 ms 19.9% 2025-09-09T14:28:32.9853405Z SingleProcess AUTOTUNE benchmarking takes 0.2488 seconds and 2.4077 seconds precompiling for 2 choices 2025-09-09T14:28:32.9853974Z PASSED 2025-09-09T14:28:32.9854535Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_1_cpu AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:28:32.9855173Z cpp_packed_gemm_2 0.0061 ms 100.0% 2025-09-09T14:28:32.9855439Z mm 0.0328 ms 18.7% 2025-09-09T14:28:32.9855915Z SingleProcess AUTOTUNE benchmarking takes 0.2488 seconds and 2.5132 seconds precompiling for 2 choices 2025-09-09T14:28:32.9856464Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:28:32.9856709Z cpp_packed_gemm_3 0.0060 ms 100.0% 2025-09-09T14:28:32.9856984Z mm 0.0318 ms 19.0% 2025-09-09T14:28:32.9857454Z SingleProcess AUTOTUNE benchmarking takes 0.2484 seconds and 2.5081 seconds precompiling for 2 choices 2025-09-09T14:28:32.9858016Z PASSED 2025-09-09T14:28:32.9858642Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_2_cpu AUTOTUNE _weight_int8pack_mm(32x64, 32x64, 32) 2025-09-09T14:28:32.9859358Z cpp_packed_gemm_4 0.0064 ms 100.0% 2025-09-09T14:28:32.9859650Z _weight_int8pack_mm 0.0182 ms 34.9% 2025-09-09T14:28:32.9860192Z SingleProcess AUTOTUNE benchmarking takes 0.2492 seconds and 2.4996 seconds precompiling for 2 choices 2025-09-09T14:28:32.9860762Z AUTOTUNE _weight_int8pack_mm(32x32, 32x32, 32) 2025-09-09T14:28:32.9861078Z cpp_packed_gemm_5 0.0062 ms 100.0% 2025-09-09T14:28:32.9861368Z _weight_int8pack_mm 0.0175 ms 35.4% 2025-09-09T14:28:32.9861893Z SingleProcess AUTOTUNE benchmarking takes 0.2492 seconds and 2.4936 seconds precompiling for 2 choices 2025-09-09T14:28:32.9862457Z PASSED 2025-09-09T14:28:32.9863016Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_3_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:28:32.9863631Z mm 0.0072 ms 100.0% 2025-09-09T14:28:32.9864290Z triton_mm_311 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:32.9865428Z triton_mm_312 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:32.9866561Z triton_mm_313 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:32.9867763Z triton_mm_315 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:32.9868884Z triton_mm_316 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:32.9870015Z triton_mm_317 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:32.9871320Z triton_mm_318 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7088790Z triton_mm_319 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7089998Z triton_mm_310 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7091063Z SingleProcess AUTOTUNE benchmarking takes 1.2671 seconds and 1.0302 seconds precompiling for 11 choices 2025-09-09T14:28:52.7091787Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:28:52.7092624Z triton_mm_321 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7093814Z triton_mm_322 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7094959Z triton_mm_323 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7096095Z triton_mm_324 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7097231Z triton_mm_325 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7097941Z mm 0.0072 ms 85.7% 2025-09-09T14:28:52.7098599Z triton_mm_320 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7099568Z SingleProcess AUTOTUNE benchmarking takes 0.7961 seconds and 0.0006 seconds precompiling for 7 choices 2025-09-09T14:28:52.7100316Z PASSED 2025-09-09T14:28:52.7100904Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_4_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:28:52.7101520Z mm 0.0051 ms 100.0% 2025-09-09T14:28:52.7102181Z triton_mm_327 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7103322Z triton_mm_328 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7104464Z triton_mm_329 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7105604Z triton_mm_331 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7106744Z triton_mm_332 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7107998Z triton_mm_333 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7109141Z triton_mm_334 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7110758Z triton_mm_335 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7111892Z triton_mm_326 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7112867Z SingleProcess AUTOTUNE benchmarking takes 1.2616 seconds and 0.7215 seconds precompiling for 11 choices 2025-09-09T14:28:52.7113408Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:28:52.7114091Z triton_mm_338 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7115235Z triton_mm_341 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7115945Z mm 0.0051 ms 80.0% 2025-09-09T14:28:52.7116603Z triton_mm_336 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7117738Z triton_mm_337 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7118864Z triton_mm_339 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7119997Z triton_mm_340 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7120972Z SingleProcess AUTOTUNE benchmarking takes 0.8031 seconds and 0.0007 seconds precompiling for 7 choices 2025-09-09T14:28:52.7121550Z PASSED 2025-09-09T14:28:52.7122139Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_5_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:28:52.7123252Z triton_mm_342 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7124457Z triton_mm_343 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7125656Z triton_mm_344 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7126865Z triton_mm_345 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7128067Z triton_mm_346 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7129267Z triton_mm_347 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7130457Z triton_mm_348 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7131658Z triton_mm_349 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7133042Z triton_mm_350 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:28:52.7134235Z triton_mm_351 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:28:52.7135235Z SingleProcess AUTOTUNE benchmarking takes 3.3721 seconds and 0.0001 seconds precompiling for 12 choices 2025-09-09T14:28:52.7135789Z AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:28:52.7136507Z triton_mm_353 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:28:52.7137709Z triton_mm_354 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:28:52.7138911Z triton_mm_355 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:28:52.7140108Z triton_mm_356 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:28:52.7141305Z triton_mm_357 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:29:17.3008524Z triton_mm_358 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:29:17.3009816Z triton_mm_359 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:29:17.3010584Z fallback_mixed_mm 0.0092 ms 55.6% 2025-09-09T14:29:17.3011135Z SingleProcess AUTOTUNE benchmarking takes 1.9885 seconds and 0.0001 seconds precompiling for 8 choices 2025-09-09T14:29:17.3011914Z PASSED 2025-09-09T14:29:17.3012453Z test/integration/test_integration.py::TestDynamicQuant::test_dynamic_quant PASSED 2025-09-09T14:29:17.3013441Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_embedding_quant PASSED 2025-09-09T14:29:17.3014826Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_quant PASSED 2025-09-09T14:29:17.3015877Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant PASSED 2025-09-09T14:29:17.3016951Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_0_cpu SKIPPED 2025-09-09T14:29:17.3018064Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_1_cpu SKIPPED 2025-09-09T14:29:17.3019165Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_2_cpu SKIPPED 2025-09-09T14:29:17.3020230Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_3_cuda AUTOTUNE mixed_mm(2x4, 4x5) 2025-09-09T14:29:17.3021399Z triton_mm_360 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:17.3022598Z triton_mm_361 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:17.3024352Z triton_mm_362 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:17.3025553Z triton_mm_363 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:17.3026746Z triton_mm_364 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:17.3027834Z SingleProcess AUTOTUNE benchmarking takes 0.5784 seconds and 0.8197 seconds precompiling for 5 choices 2025-09-09T14:29:17.3028392Z AUTOTUNE mixed_mm(125x4, 4x5) 2025-09-09T14:29:17.3029113Z triton_mm_365 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:29:17.3030324Z triton_mm_367 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:29:17.3031511Z triton_mm_377 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:17.3032704Z triton_mm_366 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:29:17.3033890Z triton_mm_368 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:29:17.3035078Z triton_mm_369 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:29:17.3036263Z triton_mm_370 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:17.3037443Z triton_mm_371 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:29:17.3038620Z triton_mm_376 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:17.3039816Z triton_mm_372 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:17.3040830Z SingleProcess AUTOTUNE benchmarking takes 1.5017 seconds and 1.9736 seconds precompiling for 13 choices 2025-09-09T14:29:17.3041383Z AUTOTUNE mixed_mm(4x4, 4x5) 2025-09-09T14:29:17.3042109Z triton_mm_378 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:17.3043303Z triton_mm_379 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:17.3044523Z triton_mm_380 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:17.3045884Z triton_mm_381 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:17.3047272Z triton_mm_382 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:17.3048288Z SingleProcess AUTOTUNE benchmarking takes 0.5838 seconds and 0.8312 seconds precompiling for 5 choices 2025-09-09T14:29:17.3048875Z PASSED 2025-09-09T14:29:17.3049514Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_4_cuda AUTOTUNE mixed_mm(2x4, 4x5) 2025-09-09T14:29:17.3050675Z triton_mm_384 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:17.3051892Z triton_mm_386 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:17.3053090Z triton_mm_383 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:17.3054277Z triton_mm_385 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:17.3055473Z triton_mm_387 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:17.3056484Z SingleProcess AUTOTUNE benchmarking takes 0.5791 seconds and 0.6975 seconds precompiling for 5 choices 2025-09-09T14:29:17.3057041Z AUTOTUNE mixed_mm(125x4, 4x5) 2025-09-09T14:29:17.3057782Z triton_mm_388 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:29:17.3058979Z triton_mm_389 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:29:17.3060183Z triton_mm_390 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:29:17.3061387Z triton_mm_391 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:29:17.3062578Z triton_mm_392 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:29:53.4979558Z triton_mm_393 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:53.4980849Z triton_mm_394 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:29:53.4982069Z triton_mm_395 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:53.4983286Z triton_mm_396 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:29:53.4985331Z triton_mm_397 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:29:53.4986391Z SingleProcess AUTOTUNE benchmarking takes 1.5000 seconds and 1.6233 seconds precompiling for 13 choices 2025-09-09T14:29:53.4986949Z AUTOTUNE mixed_mm(4x4, 4x5) 2025-09-09T14:29:53.4987763Z triton_mm_402 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:53.4988965Z triton_mm_404 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:53.4990156Z triton_mm_401 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:53.4991360Z triton_mm_403 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:53.4992548Z triton_mm_405 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:53.4993536Z SingleProcess AUTOTUNE benchmarking takes 0.5825 seconds and 0.6625 seconds precompiling for 5 choices 2025-09-09T14:29:53.4994289Z PASSED 2025-09-09T14:29:53.4994947Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_5_cuda AUTOTUNE mixed_mm(2x4, 4x5) 2025-09-09T14:29:53.4996122Z triton_mm_406 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:53.4997356Z triton_mm_408 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:53.4998563Z triton_mm_410 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:53.4999774Z triton_mm_407 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:53.5000975Z triton_mm_409 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:53.5001976Z SingleProcess AUTOTUNE benchmarking takes 0.5815 seconds and 0.6416 seconds precompiling for 5 choices 2025-09-09T14:29:53.5002538Z AUTOTUNE mixed_mm(125x4, 4x5) 2025-09-09T14:29:53.5003283Z triton_mm_414 0.0042 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:29:53.5004485Z triton_mm_411 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:29:53.5005689Z triton_mm_412 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:29:53.5006891Z triton_mm_413 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:29:53.5008264Z triton_mm_415 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:29:53.5009465Z triton_mm_416 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:53.5010662Z triton_mm_417 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:29:53.5011863Z triton_mm_418 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:29:53.5013075Z triton_mm_419 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:29:53.5014297Z triton_mm_420 0.0051 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:29:53.5015355Z SingleProcess AUTOTUNE benchmarking takes 1.5007 seconds and 1.5939 seconds precompiling for 13 choices 2025-09-09T14:29:53.5016048Z AUTOTUNE mixed_mm(4x4, 4x5) 2025-09-09T14:29:53.5016946Z triton_mm_425 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=2, num_warps=1 2025-09-09T14:29:53.5018190Z triton_mm_427 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=3, num_warps=1 2025-09-09T14:29:53.5019404Z triton_mm_424 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=1, num_warps=1 2025-09-09T14:29:53.5020603Z triton_mm_426 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=5, num_warps=1 2025-09-09T14:29:53.5021799Z triton_mm_428 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=16, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=False, GROUP_M=8, num_stages=4, num_warps=1 2025-09-09T14:29:53.5022795Z SingleProcess AUTOTUNE benchmarking takes 0.5809 seconds and 0.6761 seconds precompiling for 5 choices 2025-09-09T14:29:53.5023369Z PASSED 2025-09-09T14:29:53.5024050Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_0_cpu SKIPPED 2025-09-09T14:29:53.5025145Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_1_cpu SKIPPED 2025-09-09T14:29:53.5026250Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_2_cpu SKIPPED 2025-09-09T14:29:53.5027403Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_3_cuda PASSED 2025-09-09T14:29:53.5028485Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_4_cuda PASSED 2025-09-09T14:29:53.5029574Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_5_cuda PASSED 2025-09-09T14:29:53.5030574Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_0_cpu SKIPPED 2025-09-09T14:29:53.5031498Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_1_cpu SKIPPED 2025-09-09T14:29:53.5032419Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_2_cpu SKIPPED 2025-09-09T14:29:53.5033490Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_3_cuda AUTOTUNE int_mm(32x32, 32x32) 2025-09-09T14:29:53.5034534Z triton_mm_503 0.0041 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:29:53.5035663Z triton_mm_505 0.0041 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5229819Z triton_mm_504 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5231007Z triton_mm_506 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5232001Z SingleProcess AUTOTUNE benchmarking takes 0.4656 seconds and 0.4042 seconds precompiling for 4 choices 2025-09-09T14:30:31.5232575Z AUTOTUNE int_mm(32x64, 64x32) 2025-09-09T14:30:31.5233261Z triton_mm_501 0.0041 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5234366Z triton_mm_498 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5235471Z triton_mm_499 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5236576Z triton_mm_500 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5237683Z triton_mm_502 0.0051 ms 80.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5238638Z SingleProcess AUTOTUNE benchmarking takes 0.5797 seconds and 0.0008 seconds precompiling for 5 choices 2025-09-09T14:30:31.5239398Z PASSED 2025-09-09T14:30:31.5240002Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_4_cuda PASSED 2025-09-09T14:30:31.5240931Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_5_cuda PASSED 2025-09-09T14:30:31.5241866Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_0_cpu SKIPPED 2025-09-09T14:30:31.5242829Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_1_cpu SKIPPED 2025-09-09T14:30:31.5243781Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_2_cpu PASSED 2025-09-09T14:30:31.5244742Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_3_cuda SKIPPED 2025-09-09T14:30:31.5245703Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_4_cuda SKIPPED 2025-09-09T14:30:31.5246767Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_5_cuda AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:30:31.5247828Z triton_mm_531 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5248969Z triton_mm_533 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5249679Z mm 0.0051 ms 80.0% 2025-09-09T14:30:31.5251884Z triton_mm_526 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5253013Z triton_mm_527 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5254144Z triton_mm_528 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5255273Z triton_mm_530 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5256396Z triton_mm_532 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5257540Z triton_mm_534 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5258673Z triton_mm_525 0.0061 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:31.5259641Z SingleProcess AUTOTUNE benchmarking takes 1.2630 seconds and 0.7042 seconds precompiling for 11 choices 2025-09-09T14:30:31.5260204Z AUTOTUNE addmm(32x32, 32x32, 32x32) 2025-09-09T14:30:31.5260912Z triton_mm_537 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5262062Z triton_mm_539 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5263213Z triton_mm_535 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:31.5264346Z triton_mm_536 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5265621Z triton_mm_540 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5266418Z bias_addmm 0.0061 ms 66.7% 2025-09-09T14:30:31.5267273Z triton_mm_538 0.0061 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5267988Z addmm 0.0082 ms 50.0% 2025-09-09T14:30:31.5268486Z SingleProcess AUTOTUNE benchmarking takes 0.9067 seconds and 0.0006 seconds precompiling for 8 choices 2025-09-09T14:30:31.5269079Z PASSED 2025-09-09T14:30:31.5269685Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_0_cpu PASSED 2025-09-09T14:30:31.5270637Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_1_cpu PASSED 2025-09-09T14:30:31.5271597Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_2_cpu PASSED 2025-09-09T14:30:31.5272525Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_3_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:30:31.5273635Z triton_mm_550 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:30:31.5275011Z triton_mm_551 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:30:31.5276202Z triton_mm_543 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5277389Z triton_mm_545 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5278572Z triton_mm_547 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5279749Z triton_mm_548 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:31.5280945Z triton_mm_541 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:31.5282129Z triton_mm_542 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:31.5283306Z triton_mm_544 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:31.5284494Z triton_mm_546 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:31.5285499Z SingleProcess AUTOTUNE benchmarking takes 4.7213 seconds and 0.0001 seconds precompiling for 12 choices 2025-09-09T14:30:31.5286065Z AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:30:53.8730860Z triton_mm_557 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:30:53.8732118Z triton_mm_558 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:30:53.8733313Z triton_mm_552 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:53.8734487Z triton_mm_553 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:53.8735681Z triton_mm_554 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:53.8736861Z triton_mm_555 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:53.8738030Z triton_mm_556 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:53.8738774Z fallback_mixed_mm 0.0123 ms 41.7% 2025-09-09T14:30:53.8739321Z SingleProcess AUTOTUNE benchmarking takes 2.4651 seconds and 0.0001 seconds precompiling for 8 choices 2025-09-09T14:30:53.8740073Z PASSED 2025-09-09T14:30:53.8740669Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_4_cuda AUTOTUNE mixed_mm(32x64, 64x32) 2025-09-09T14:30:53.8742175Z triton_mm_559 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:53.8743374Z triton_mm_560 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:53.8744555Z triton_mm_561 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:53.8745741Z triton_mm_562 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:53.8747165Z triton_mm_563 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:53.8748360Z triton_mm_564 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:53.8749549Z triton_mm_565 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:53.8750734Z triton_mm_566 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:53.8751910Z triton_mm_567 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:53.8753155Z triton_mm_568 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:30:53.8754156Z SingleProcess AUTOTUNE benchmarking takes 3.3131 seconds and 0.0001 seconds precompiling for 12 choices 2025-09-09T14:30:53.8754704Z AUTOTUNE mixed_mm(32x32, 32x32) 2025-09-09T14:30:53.8755421Z triton_mm_571 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:30:53.8756602Z triton_mm_572 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:30:53.8757799Z triton_mm_573 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:30:53.8758999Z triton_mm_574 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:30:53.8768126Z triton_mm_575 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=2 2025-09-09T14:30:53.8769400Z triton_mm_576 0.0041 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:30:53.8770585Z triton_mm_570 0.0051 ms 80.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:30:53.8771338Z fallback_mixed_mm 0.0092 ms 44.4% 2025-09-09T14:30:53.8772049Z SingleProcess AUTOTUNE benchmarking takes 1.9644 seconds and 0.0001 seconds precompiling for 8 choices 2025-09-09T14:30:53.8772839Z PASSED 2025-09-09T14:30:53.8773462Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_5_cuda PASSED 2025-09-09T14:30:53.8774337Z test/integration/test_integration.py::TorchCompileUnitTest::test_fullgraph PASSED 2025-09-09T14:30:53.8775116Z test/integration/test_integration.py::UtilsUnitTest::test_shape_logger PASSED 2025-09-09T14:30:53.8776063Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_non_dynamically_quantizable_linear SKIPPED 2025-09-09T14:30:53.8776951Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_on_dummy_distilbert 2025-09-09T14:30:53.8777521Z tokenizer_config.json: 0% 0.00/48.0 [00:00>time: 0.015ms for , to_beat: infms 2025-09-09T14:31:31.3632217Z AUTOTUNE mixed_mm(32x128, 128x128) 2025-09-09T14:31:31.3632960Z triton_mm_615 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3634164Z triton_mm_612 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:31:31.3634906Z fallback_mixed_mm 0.0143 ms 78.6% 2025-09-09T14:31:31.3635637Z triton_mm_617 0.0205 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:31:31.3636814Z triton_mm_625 0.0256 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:31:31.3637985Z triton_mm_614 0.0266 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:31:31.3639175Z triton_mm_624 0.0266 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:31:31.3640356Z triton_mm_613 0.0307 ms 36.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:31:31.3641534Z triton_mm_616 0.0307 ms 36.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3642721Z triton_mm_629 0.0389 ms 28.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:31:31.3643721Z SingleProcess AUTOTUNE benchmarking takes 2.2126 seconds and 7.4964 seconds precompiling for 19 choices 2025-09-09T14:31:31.3644890Z >>time: 0.014ms for , to_beat: 0.015ms 2025-09-09T14:31:31.3645897Z >>time: 0.009ms for , to_beat: 0.014ms 2025-09-09T14:31:31.3646790Z AUTOTUNE int_mm(32x128, 128x128) 2025-09-09T14:31:31.3647482Z triton_mm_635 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3648599Z triton_mm_638 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:31:31.3649704Z triton_mm_631 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:31:31.3650822Z triton_mm_632 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:31:31.3651929Z triton_mm_633 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:31:31.3653080Z triton_mm_634 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:31:31.3654184Z triton_mm_636 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:31:31.3655297Z triton_mm_639 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:31:31.3656420Z triton_mm_630 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:31:31.3657524Z triton_mm_637 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:31:31.3658491Z SingleProcess AUTOTUNE benchmarking takes 1.1574 seconds and 1.3402 seconds precompiling for 10 choices 2025-09-09T14:31:31.3659418Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:31:31.3660349Z best_cls= 2025-09-09T14:31:31.3660805Z 2025-09-09T14:31:31.3661119Z PASSED 2025-09-09T14:31:31.3661708Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_12_cuda SKIPPED 2025-09-09T14:31:31.3662606Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_13_cuda SKIPPED 2025-09-09T14:31:31.3663572Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_14_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2 2025-09-09T14:31:31.3664434Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:31:31.3664895Z AUTOTUNE addmm(32x128, 32x128, 128x128) 2025-09-09T14:31:31.3665622Z triton_mm_644 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3666346Z bias_addmm 0.0061 ms 83.3% 2025-09-09T14:31:31.3667032Z triton_mm_641 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:31:31.3668502Z triton_mm_642 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:31:31.3669632Z triton_mm_643 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3670766Z triton_mm_647 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:31:31.3671901Z triton_mm_648 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:31:31.3673029Z triton_mm_653 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:31:31.3674178Z triton_mm_654 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:31:31.3675310Z triton_mm_646 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:31:31.3676277Z SingleProcess AUTOTUNE benchmarking takes 2.1782 seconds and 2.4529 seconds precompiling for 19 choices 2025-09-09T14:32:24.0692218Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:32:24.0693632Z AUTOTUNE mixed_mm(32x128, 128x128) 2025-09-09T14:32:24.0695586Z triton_mm_661 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0698088Z triton_mm_658 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:24.0699280Z triton_mm_659 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:32:24.0700462Z triton_mm_660 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0701640Z triton_mm_663 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:32:24.0702814Z triton_mm_664 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0704003Z triton_mm_669 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:24.0705181Z triton_mm_670 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:32:24.0706372Z triton_mm_673 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:24.0707675Z triton_mm_674 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:32:24.0709062Z SingleProcess AUTOTUNE benchmarking takes 2.1828 seconds and 2.7723 seconds precompiling for 19 choices 2025-09-09T14:32:24.0710122Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:32:24.0711124Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:32:24.0712150Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:32:24.0713069Z best_cls= 2025-09-09T14:32:24.0713522Z 2025-09-09T14:32:24.0713828Z PASSED 2025-09-09T14:32:24.0714414Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_15_cuda SKIPPED 2025-09-09T14:32:24.0715306Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_16_cuda SKIPPED 2025-09-09T14:32:24.0716261Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_17_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2 2025-09-09T14:32:24.0717133Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:32:24.0717605Z AUTOTUNE addmm(32x128, 32x128, 128x128) 2025-09-09T14:32:24.0718332Z triton_mm_686 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:24.0719488Z triton_mm_688 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0720209Z bias_addmm 0.0061 ms 83.3% 2025-09-09T14:32:24.0720889Z triton_mm_687 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:32:24.0722033Z triton_mm_689 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0723163Z triton_mm_692 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:32:24.0724299Z triton_mm_693 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0725432Z triton_mm_698 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:24.0726553Z triton_mm_699 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:32:24.0727688Z triton_mm_691 0.0071 ms 71.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:24.0728662Z SingleProcess AUTOTUNE benchmarking takes 2.1773 seconds and 2.3620 seconds precompiling for 19 choices 2025-09-09T14:32:24.0729455Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:32:24.0730006Z AUTOTUNE mixed_mm(32x128, 128x128) 2025-09-09T14:32:24.0730746Z triton_mm_703 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:24.0731955Z triton_mm_705 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0733322Z triton_mm_704 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:32:24.0734509Z triton_mm_706 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0735703Z triton_mm_708 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:32:24.0736897Z triton_mm_709 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:24.0738148Z triton_mm_714 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:24.0739344Z triton_mm_715 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:32:24.0740544Z triton_mm_718 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:24.0741743Z triton_mm_719 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:32:24.0742751Z SingleProcess AUTOTUNE benchmarking takes 2.1831 seconds and 3.0062 seconds precompiling for 19 choices 2025-09-09T14:32:24.0743657Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:32:24.0744651Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:32:24.0745676Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:32:24.0746895Z best_cls= 2025-09-09T14:32:24.0747392Z 2025-09-09T14:32:24.0747517Z PASSED 2025-09-09T14:32:24.0748106Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_0_cpu SKIPPED 2025-09-09T14:32:24.0749021Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_1_cpu SKIPPED 2025-09-09T14:32:24.0749937Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_2_cpu SKIPPED 2025-09-09T14:32:24.0750928Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_3_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:32:24.0751806Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:32:52.5105930Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:32:52.5106287Z bias_addmm 0.0072 ms 100.0% 2025-09-09T14:32:52.5107028Z triton_mm_733 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5107829Z addmm 0.0102 ms 70.0% 2025-09-09T14:32:52.5108501Z triton_mm_732 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:52.5109635Z triton_mm_737 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5111356Z triton_mm_743 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5112491Z triton_mm_744 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:32:52.5113613Z triton_mm_730 0.0123 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:32:52.5114747Z triton_mm_736 0.0123 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:52.5115877Z triton_mm_735 0.0143 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:52.5116858Z SingleProcess AUTOTUNE benchmarking takes 2.0850 seconds and 5.2475 seconds precompiling for 19 choices 2025-09-09T14:32:52.5117656Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:32:52.5118206Z AUTOTUNE mixed_mm(16x128, 128x128) 2025-09-09T14:32:52.5118957Z triton_mm_750 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5120148Z triton_mm_747 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:32:52.5120891Z fallback_mixed_mm 0.0102 ms 80.0% 2025-09-09T14:32:52.5121612Z triton_mm_752 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:52.5122801Z triton_mm_749 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:52.5123981Z triton_mm_759 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5125153Z triton_mm_760 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:32:52.5126336Z triton_mm_751 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5127533Z triton_mm_761 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:32:52.5128715Z triton_mm_748 0.0195 ms 42.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:32:52.5129716Z SingleProcess AUTOTUNE benchmarking takes 2.2021 seconds and 4.7218 seconds precompiling for 19 choices 2025-09-09T14:32:52.5130619Z >>time: 0.012ms for , to_beat: 0.010ms 2025-09-09T14:32:52.5131617Z >>time: 0.008ms for , to_beat: 0.010ms 2025-09-09T14:32:52.5132272Z AUTOTUNE int_mm(16x128, 128x128) 2025-09-09T14:32:52.5133135Z triton_mm_766 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5134475Z triton_mm_767 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5135767Z triton_mm_769 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:32:52.5137039Z triton_mm_770 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5138290Z triton_mm_771 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:52.5139558Z triton_mm_773 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5140818Z triton_mm_774 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:32:52.5142082Z triton_mm_765 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:32:52.5143325Z triton_mm_768 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:32:52.5144575Z triton_mm_772 0.0082 ms 62.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:32:52.5145658Z SingleProcess AUTOTUNE benchmarking takes 1.1550 seconds and 1.3000 seconds precompiling for 10 choices 2025-09-09T14:32:52.5147080Z >>time: 0.010ms for matmul, to_beat: 0.008ms 2025-09-09T14:32:52.5148194Z best_cls= 2025-09-09T14:32:52.5148651Z 2025-09-09T14:32:52.5148969Z PASSED 2025-09-09T14:32:52.5149645Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_4_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:32:52.5150533Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:32:52.5150999Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:32:52.5151744Z triton_mm_776 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:32:52.5152912Z triton_mm_778 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5154054Z triton_mm_782 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5154785Z bias_addmm 0.0061 ms 83.3% 2025-09-09T14:32:52.5155470Z triton_mm_777 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:52.5156610Z triton_mm_779 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:32:52.5158074Z triton_mm_783 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:32:52.5159218Z triton_mm_784 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5160363Z triton_mm_786 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:32:52.5161519Z triton_mm_787 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:33:35.7398598Z SingleProcess AUTOTUNE benchmarking takes 2.1776 seconds and 2.4263 seconds precompiling for 19 choices 2025-09-09T14:33:35.7399476Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:33:35.7400032Z AUTOTUNE mixed_mm(16x128, 128x128) 2025-09-09T14:33:35.7400798Z triton_mm_793 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:33:35.7402009Z triton_mm_795 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7403202Z triton_mm_799 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7404397Z triton_mm_805 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:33:35.7405589Z triton_mm_794 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7406775Z triton_mm_796 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7407947Z triton_mm_798 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7409127Z triton_mm_801 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:33:35.7410310Z triton_mm_802 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7411502Z triton_mm_803 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:33:35.7412512Z SingleProcess AUTOTUNE benchmarking takes 2.1829 seconds and 2.5390 seconds precompiling for 19 choices 2025-09-09T14:33:35.7413421Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:33:35.7414411Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:33:35.7415441Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:33:35.7416361Z best_cls= 2025-09-09T14:33:35.7417161Z 2025-09-09T14:33:35.7417464Z PASSED 2025-09-09T14:33:35.7418343Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_5_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:33:35.7419229Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:33:35.7419700Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:33:35.7420424Z triton_mm_824 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7421589Z triton_mm_828 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7422735Z triton_mm_822 0.0052 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7423887Z triton_mm_821 0.0061 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:33:35.7425028Z triton_mm_823 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7426156Z triton_mm_826 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:33:35.7427357Z triton_mm_827 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7428499Z triton_mm_830 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:33:35.7429647Z triton_mm_831 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7430786Z triton_mm_832 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:33:35.7431766Z SingleProcess AUTOTUNE benchmarking takes 2.1759 seconds and 2.5109 seconds precompiling for 19 choices 2025-09-09T14:33:35.7432560Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:33:35.7433102Z AUTOTUNE mixed_mm(16x128, 128x128) 2025-09-09T14:33:35.7433845Z triton_mm_839 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7435056Z triton_mm_841 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7436269Z triton_mm_843 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7437472Z triton_mm_838 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:33:35.7438654Z triton_mm_840 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:33:35.7440018Z triton_mm_844 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:33:35.7441216Z triton_mm_845 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7442403Z triton_mm_847 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7443601Z triton_mm_848 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:33:35.7444796Z triton_mm_849 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:33:35.7445797Z SingleProcess AUTOTUNE benchmarking takes 2.1809 seconds and 2.0893 seconds precompiling for 19 choices 2025-09-09T14:33:35.7447068Z >>time: 0.010ms for , to_beat: 0.009ms 2025-09-09T14:33:35.7448109Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:33:35.7449133Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:33:35.7450059Z best_cls= 2025-09-09T14:33:35.7450513Z 2025-09-09T14:33:35.7450643Z PASSED 2025-09-09T14:33:35.7451197Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_0_cpu SKIPPED 2025-09-09T14:33:35.7452057Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_1_cpu SKIPPED 2025-09-09T14:33:35.7452917Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_2_cpu SKIPPED 2025-09-09T14:33:35.7453783Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_3_cuda SKIPPED 2025-09-09T14:33:35.7454639Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_4_cuda SKIPPED 2025-09-09T14:34:13.2069163Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_5_cuda SKIPPED 2025-09-09T14:34:13.2070131Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_hp_float activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:34:13.2070978Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:34:13.2071695Z >>time: 0.013ms for , to_beat: infms 2025-09-09T14:34:13.2072413Z best_cls= 2025-09-09T14:34:13.2072773Z 2025-09-09T14:34:13.2072937Z activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:34:13.2073479Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:34:13.2074315Z >>time: 0.015ms for , to_beat: infms 2025-09-09T14:34:13.2075239Z best_cls= 2025-09-09T14:34:13.2075694Z 2025-09-09T14:34:13.2075909Z activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:34:13.2076605Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:34:13.2077488Z >>time: 0.015ms for , to_beat: infms 2025-09-09T14:34:13.2078174Z best_cls= 2025-09-09T14:34:13.2078947Z 2025-09-09T14:34:13.2079094Z PASSED 2025-09-09T14:34:13.2079649Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_0_cpu SKIPPED 2025-09-09T14:34:13.2080666Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_1_cpu SKIPPED 2025-09-09T14:34:13.2081522Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_2_cpu SKIPPED 2025-09-09T14:34:13.2082378Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_3_cuda SKIPPED 2025-09-09T14:34:13.2083234Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_4_cuda SKIPPED 2025-09-09T14:34:13.2084092Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_5_cuda SKIPPED 2025-09-09T14:34:13.2084942Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_00_cpu SKIPPED 2025-09-09T14:34:13.2085800Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_01_cpu SKIPPED 2025-09-09T14:34:13.2086663Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_02_cpu SKIPPED 2025-09-09T14:34:13.2087521Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_03_cpu SKIPPED 2025-09-09T14:34:13.2088379Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_04_cpu SKIPPED 2025-09-09T14:34:13.2089228Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_05_cpu SKIPPED 2025-09-09T14:34:13.2090083Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_06_cpu SKIPPED 2025-09-09T14:34:13.2090937Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_07_cpu SKIPPED 2025-09-09T14:34:13.2091787Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_08_cpu SKIPPED 2025-09-09T14:34:13.2092657Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_09_cuda SKIPPED 2025-09-09T14:34:13.2093530Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_10_cuda SKIPPED 2025-09-09T14:34:13.2094405Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_11_cuda PASSED 2025-09-09T14:34:13.2095267Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_12_cuda SKIPPED 2025-09-09T14:34:13.2096128Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_13_cuda SKIPPED 2025-09-09T14:34:13.2096994Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_14_cuda PASSED 2025-09-09T14:34:13.2097852Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_15_cuda SKIPPED 2025-09-09T14:34:13.2098767Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_16_cuda SKIPPED 2025-09-09T14:34:13.2099628Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_17_cuda PASSED 2025-09-09T14:34:13.2100483Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_0_cpu SKIPPED 2025-09-09T14:34:13.2101336Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_1_cpu SKIPPED 2025-09-09T14:34:13.2102183Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_2_cpu SKIPPED 2025-09-09T14:34:13.2103034Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_3_cuda PASSED 2025-09-09T14:34:13.2103876Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_4_cuda PASSED 2025-09-09T14:34:13.2104723Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_5_cuda PASSED 2025-09-09T14:34:13.2105561Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_0_cpu SKIPPED 2025-09-09T14:34:13.2106383Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_1_cpu SKIPPED 2025-09-09T14:34:13.2107432Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_2_cpu SKIPPED 2025-09-09T14:34:13.2108427Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_3_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:34:13.2109276Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float32, bias_shape: torch.Size([4096]) 2025-09-09T14:34:13.2109774Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:34:13.2110067Z bias_addmm 0.1444 ms 100.0% 2025-09-09T14:34:13.2110325Z addmm 0.1505 ms 95.9% 2025-09-09T14:34:13.2111003Z triton_mm_872 0.2079 ms 69.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:34:13.2112147Z triton_mm_867 0.2171 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:34:13.2113295Z triton_mm_868 0.2171 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:34:13.2114426Z triton_mm_878 0.2171 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:34:13.2115565Z triton_mm_879 0.2171 ms 66.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:34:13.2116703Z triton_mm_866 0.2447 ms 59.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:34:13.2117837Z triton_mm_869 0.2662 ms 54.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:34:13.2118985Z triton_mm_871 0.2765 ms 52.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:34:13.2119966Z SingleProcess AUTOTUNE benchmarking takes 2.0061 seconds and 5.3090 seconds precompiling for 19 choices 2025-09-09T14:34:13.2120757Z >>time: 0.149ms for , to_beat: infms 2025-09-09T14:34:13.2121648Z >>time: 0.043ms for , to_beat: 0.149ms 2025-09-09T14:34:13.2122639Z >>time: 0.045ms for , to_beat: 0.043ms 2025-09-09T14:34:13.2123296Z AUTOTUNE int_mm(1x4096, 4096x4096) 2025-09-09T14:34:13.2124008Z triton_mm_892 0.0471 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:34:13.2125150Z triton_mm_891 0.0492 ms 95.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=256, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:34:13.2126275Z triton_mm_890 0.0512 ms 92.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:34:13.2127379Z triton_mm_887 0.0563 ms 83.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:34:13.2128529Z triton_mm_888 0.0573 ms 82.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:34:13.2129727Z triton_mm_886 0.0625 ms 75.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:34:13.2130906Z triton_mm_884 0.0778 ms 60.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:34:13.2132011Z triton_mm_883 0.0799 ms 59.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:08.4296165Z triton_mm_882 0.1362 ms 34.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:08.4297668Z triton_mm_885 0.1362 ms 34.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:35:08.4298949Z SingleProcess AUTOTUNE benchmarking takes 1.3031 seconds and 1.4399 seconds precompiling for 11 choices 2025-09-09T14:35:08.4300104Z >>time: 0.052ms for matmul, to_beat: 0.043ms 2025-09-09T14:35:08.4301032Z best_cls= 2025-09-09T14:35:08.4301489Z 2025-09-09T14:35:08.4301788Z PASSED 2025-09-09T14:35:08.4302417Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_4_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:35:08.4303275Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float16, bias_shape: torch.Size([4096]) 2025-09-09T14:35:08.4303766Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:35:08.4304501Z triton_mm_901 0.0809 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4305242Z bias_addmm 0.0829 ms 97.5% 2025-09-09T14:35:08.4305926Z triton_mm_895 0.0829 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4307148Z triton_mm_907 0.0829 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:35:08.4308303Z triton_mm_903 0.0840 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:35:08.4309438Z triton_mm_904 0.0840 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:08.4310580Z triton_mm_909 0.0840 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:08.4311725Z triton_mm_900 0.0870 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:08.4312429Z addmm 0.0881 ms 91.9% 2025-09-09T14:35:08.4313103Z triton_mm_897 0.0901 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:35:08.4314082Z SingleProcess AUTOTUNE benchmarking takes 2.1419 seconds and 2.5330 seconds precompiling for 19 choices 2025-09-09T14:35:08.4314875Z >>time: 0.089ms for , to_beat: infms 2025-09-09T14:35:08.4315766Z >>time: 0.045ms for , to_beat: 0.089ms 2025-09-09T14:35:08.4317014Z >>time: 0.045ms for , to_beat: 0.045ms 2025-09-09T14:35:08.4318211Z >>time: 0.052ms for matmul, to_beat: 0.045ms 2025-09-09T14:35:08.4319141Z best_cls= 2025-09-09T14:35:08.4319598Z 2025-09-09T14:35:08.4319724Z PASSED 2025-09-09T14:35:08.4320335Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_5_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:35:08.4321188Z weight_shape: torch.Size([4096, 4096]), dtype: torch.bfloat16, bias_shape: torch.Size([4096]) 2025-09-09T14:35:08.4321680Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:35:08.4322417Z triton_mm_929 0.0809 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4323580Z triton_mm_923 0.0829 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4324716Z triton_mm_935 0.0829 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:35:08.4325430Z bias_addmm 0.0840 ms 96.3% 2025-09-09T14:35:08.4326120Z triton_mm_931 0.0840 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:35:08.4327267Z triton_mm_937 0.0840 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:08.4328412Z triton_mm_932 0.0850 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:08.4329555Z triton_mm_928 0.0870 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:08.4330263Z addmm 0.0891 ms 90.8% 2025-09-09T14:35:08.4330945Z triton_mm_925 0.0901 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:35:08.4331929Z SingleProcess AUTOTUNE benchmarking takes 2.1361 seconds and 2.7085 seconds precompiling for 19 choices 2025-09-09T14:35:08.4332727Z >>time: 0.089ms for , to_beat: infms 2025-09-09T14:35:08.4333646Z >>time: 0.045ms for , to_beat: 0.089ms 2025-09-09T14:35:08.4334681Z >>time: 0.045ms for , to_beat: 0.045ms 2025-09-09T14:35:08.4335708Z >>time: 0.052ms for matmul, to_beat: 0.045ms 2025-09-09T14:35:08.4336633Z best_cls= 2025-09-09T14:35:08.4337089Z 2025-09-09T14:35:08.4337212Z PASSED 2025-09-09T14:35:08.4337837Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_0_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:35:08.4338700Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:35:08.4339168Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:35:08.4339910Z triton_mm_950 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:08.4341226Z triton_mm_952 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:08.4342352Z triton_mm_951 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:08.4343482Z triton_mm_953 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4344198Z bias_addmm 0.0092 ms 77.8% 2025-09-09T14:35:08.4344868Z triton_mm_956 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:35:08.4346210Z triton_mm_957 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:08.4347377Z triton_mm_949 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:35:08.4348501Z triton_mm_954 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:08.4349628Z triton_mm_955 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:08.4350598Z SingleProcess AUTOTUNE benchmarking takes 2.0999 seconds and 5.1338 seconds precompiling for 21 choices 2025-09-09T14:35:08.4351406Z >>time: 0.011ms for , to_beat: infms 2025-09-09T14:35:08.4352559Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 53.82148742675781 2025-09-09T14:35:29.4769334Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.006710052490234 2025-09-09T14:35:29.4770899Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 47.44115447998047 2025-09-09T14:35:29.4771963Z best_cls= 2025-09-09T14:35:29.4772330Z 2025-09-09T14:35:29.4772641Z PASSED 2025-09-09T14:35:29.4773307Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_1_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:35:29.4774209Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:35:29.4774696Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:35:29.4775458Z triton_mm_969 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:29.4776200Z bias_addmm 0.0061 ms 83.3% 2025-09-09T14:35:29.4776886Z triton_mm_971 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:29.4778027Z triton_mm_972 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:29.4779166Z triton_mm_970 0.0062 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:29.4780730Z triton_mm_974 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:29.4781872Z triton_mm_975 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:35:29.4783001Z triton_mm_976 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:29.4784148Z triton_mm_977 0.0082 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:29.4785284Z triton_mm_978 0.0082 ms 62.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:35:29.4786276Z SingleProcess AUTOTUNE benchmarking takes 2.3087 seconds and 4.0667 seconds precompiling for 21 choices 2025-09-09T14:35:29.4787163Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:35:29.4788278Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.25 2025-09-09T14:35:29.4789708Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.40625 2025-09-09T14:35:29.4791154Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 48.0625 2025-09-09T14:35:29.4792184Z best_cls= 2025-09-09T14:35:29.4792550Z 2025-09-09T14:35:29.4792679Z PASSED 2025-09-09T14:35:29.4793328Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_2_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:35:29.4794199Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:35:29.4794691Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:35:29.4794990Z bias_addmm 0.0061 ms 100.0% 2025-09-09T14:35:29.4795697Z triton_mm_988 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:29.4796853Z triton_mm_989 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:29.4797996Z triton_mm_991 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:29.4799141Z triton_mm_990 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:35:29.4800317Z triton_mm_994 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:35:29.4801441Z triton_mm_995 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:35:29.4802577Z triton_mm_987 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:35:29.4803877Z triton_mm_993 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:35:29.4805003Z triton_mm_996 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:35:29.4805987Z SingleProcess AUTOTUNE benchmarking takes 2.3089 seconds and 4.2411 seconds precompiling for 21 choices 2025-09-09T14:35:29.4806794Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:35:29.4807890Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 49.0 2025-09-09T14:35:29.4809303Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 48.75 2025-09-09T14:35:29.4810723Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 46.0 2025-09-09T14:35:29.4811740Z best_cls= 2025-09-09T14:35:29.4812101Z 2025-09-09T14:35:29.4812230Z PASSED 2025-09-09T14:35:29.4812748Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_00_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:35:29.4813366Z SKIPPED 2025-09-09T14:35:29.4813877Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_01_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:35:29.4814495Z SKIPPED 2025-09-09T14:35:29.4815000Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_02_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:35:29.4815610Z SKIPPED 2025-09-09T14:35:29.4816126Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_03_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:35:29.4816727Z SKIPPED 2025-09-09T14:35:29.4817243Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_04_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:35:29.4817845Z SKIPPED 2025-09-09T14:35:29.4818357Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_05_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:35:29.4818959Z SKIPPED 2025-09-09T14:35:29.4819468Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_06_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:35:29.4820075Z SKIPPED 2025-09-09T14:35:29.4820582Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_07_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:35:29.4821187Z SKIPPED 2025-09-09T14:35:29.4821689Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_08_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:35:29.4822306Z SKIPPED 2025-09-09T14:35:29.4822811Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_09_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:35:29.4823420Z SKIPPED 2025-09-09T14:35:29.4823930Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_10_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:35:29.4824528Z SKIPPED 2025-09-09T14:35:29.4825040Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_11_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:35:29.4825642Z SKIPPED 2025-09-09T14:35:29.4826150Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_12_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:35:29.4826751Z SKIPPED 2025-09-09T14:35:29.4827317Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_13_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:35:29.4827925Z SKIPPED 2025-09-09T14:35:29.4829542Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_14_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:35:29.4830175Z SKIPPED 2025-09-09T14:35:29.4830795Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_15_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:35:29.4831404Z PASSED 2025-09-09T14:35:29.4831907Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_16_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:36:30.8081677Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:36:30.8082230Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:36:30.8082711Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:36:30.8083006Z bias_addmm 0.0113 ms 100.0% 2025-09-09T14:36:30.8083265Z addmm 0.0133 ms 84.6% 2025-09-09T14:36:30.8083958Z triton_mm_1006 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:36:30.8085162Z triton_mm_1008 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8086316Z triton_mm_1009 0.0164 ms 68.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8087458Z triton_mm_1019 0.0184 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8088620Z triton_mm_1012 0.0195 ms 57.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:36:30.8089776Z triton_mm_1015 0.0236 ms 47.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8090939Z triton_mm_1011 0.0246 ms 45.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:36:30.8092079Z triton_mm_1013 0.0266 ms 42.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:36:30.8093067Z SingleProcess AUTOTUNE benchmarking takes 2.1060 seconds and 15.5764 seconds precompiling for 19 choices 2025-09-09T14:36:30.8093870Z >>time: 0.015ms for , to_beat: infms 2025-09-09T14:36:30.8094421Z AUTOTUNE mixed_mm(64x128, 128x128) 2025-09-09T14:36:30.8095170Z triton_mm_1023 0.0123 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:36:30.8095934Z fallback_mixed_mm 0.0143 ms 85.7% 2025-09-09T14:36:30.8096680Z triton_mm_1026 0.0174 ms 70.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8097929Z triton_mm_1027 0.0215 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:36:30.8099134Z triton_mm_1028 0.0215 ms 57.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:36:30.8100330Z triton_mm_1025 0.0266 ms 46.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8102571Z triton_mm_1035 0.0276 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8103775Z triton_mm_1024 0.0307 ms 40.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:36:30.8104988Z triton_mm_1040 0.0389 ms 31.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8106185Z triton_mm_1029 0.0461 ms 26.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:36:30.8107199Z SingleProcess AUTOTUNE benchmarking takes 2.2203 seconds and 16.2879 seconds precompiling for 19 choices 2025-09-09T14:36:30.8108214Z >>time: 0.017ms for , to_beat: 0.015ms 2025-09-09T14:36:30.8108873Z AUTOTUNE int_mm(64x128, 128x128, 64x128) 2025-09-09T14:36:30.8109601Z triton_mm_1046 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8110738Z triton_mm_1047 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:36:30.8111861Z triton_mm_1043 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8112990Z triton_mm_1045 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:36:30.8114122Z triton_mm_1049 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:36:30.8115234Z triton_mm_1041 0.0082 ms 75.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:36:30.8116365Z triton_mm_1042 0.0082 ms 75.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8117504Z triton_mm_1050 0.0082 ms 75.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:36:30.8118635Z triton_mm_1044 0.0092 ms 66.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:36:30.8119776Z triton_mm_1048 0.0102 ms 60.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:36:30.8120745Z SingleProcess AUTOTUNE benchmarking takes 1.1601 seconds and 1.9871 seconds precompiling for 10 choices 2025-09-09T14:36:30.8121685Z >>time: 0.009ms for matmul, to_beat: 0.015ms 2025-09-09T14:36:30.8122726Z >>time: 0.013ms for , to_beat: 0.049ms 2025-09-09T14:36:30.8123831Z >>time: 0.013ms for interpolated, breakeven constant: 1.48 2025-09-09T14:36:30.8124838Z best_cls= 2025-09-09T14:36:30.8125391Z 2025-09-09T14:36:30.8125701Z PASSED 2025-09-09T14:36:30.8126320Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_17_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:36:30.8127032Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:36:30.8127542Z weight_shape: torch.Size([256, 128]), dtype: torch.float32, bias_shape: torch.Size([256]) 2025-09-09T14:36:30.8128014Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:36:30.8128308Z bias_addmm 0.0072 ms 100.0% 2025-09-09T14:36:30.8129010Z triton_mm_1064 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:36:30.8129735Z addmm 0.0102 ms 70.0% 2025-09-09T14:36:30.8130405Z triton_mm_1063 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:36:30.8131563Z triton_mm_1068 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8132701Z triton_mm_1074 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:36:30.8133847Z triton_mm_1075 0.0113 ms 63.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:36:30.8134993Z triton_mm_1061 0.0123 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:36:30.8136135Z triton_mm_1067 0.0123 ms 58.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:37:15.0143098Z triton_mm_1066 0.0143 ms 50.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:37:15.0144130Z SingleProcess AUTOTUNE benchmarking takes 2.0830 seconds and 5.2558 seconds precompiling for 19 choices 2025-09-09T14:37:15.0144930Z >>time: 0.011ms for , to_beat: infms 2025-09-09T14:37:15.0145474Z AUTOTUNE mixed_mm(16x128, 128x256) 2025-09-09T14:37:15.0146413Z triton_mm_1081 0.0082 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0147713Z triton_mm_1078 0.0092 ms 88.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:37:15.0148468Z fallback_mixed_mm 0.0112 ms 72.9% 2025-09-09T14:37:15.0149205Z triton_mm_1083 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:37:15.0150394Z triton_mm_1080 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:37:15.0151569Z triton_mm_1090 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0152753Z triton_mm_1091 0.0154 ms 53.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:37:15.0155809Z triton_mm_1079 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:37:15.0157003Z triton_mm_1082 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0158196Z triton_mm_1092 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:37:15.0159229Z SingleProcess AUTOTUNE benchmarking takes 2.2016 seconds and 4.6395 seconds precompiling for 19 choices 2025-09-09T14:37:15.0160156Z >>time: 0.013ms for , to_beat: 0.011ms 2025-09-09T14:37:15.0161180Z >>time: 0.009ms for , to_beat: 0.011ms 2025-09-09T14:37:15.0161837Z AUTOTUNE int_mm(16x128, 128x256, 16x256) 2025-09-09T14:37:15.0162571Z triton_mm_1101 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0163698Z triton_mm_1098 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0164806Z triton_mm_1100 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:37:15.0165920Z triton_mm_1102 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:37:15.0167045Z triton_mm_1104 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0168164Z triton_mm_1105 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=256, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:37:15.0169302Z triton_mm_1106 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:37:15.0170483Z triton_mm_1097 0.0062 ms 82.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0171598Z triton_mm_1096 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:37:15.0172724Z triton_mm_1099 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:37:15.0173706Z SingleProcess AUTOTUNE benchmarking takes 1.2805 seconds and 1.6481 seconds precompiling for 11 choices 2025-09-09T14:37:15.0174644Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:37:15.0175560Z best_cls= 2025-09-09T14:37:15.0176021Z 2025-09-09T14:37:15.0176319Z PASSED 2025-09-09T14:37:15.0176865Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_18_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:37:15.0177509Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:37:15.0187004Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:37:15.0187553Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:37:15.0187963Z bias_addmm 0.0082 ms 100.0% 2025-09-09T14:37:15.0188219Z addmm 0.0113 ms 72.7% 2025-09-09T14:37:15.0188901Z triton_mm_1108 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:37:15.0190109Z triton_mm_1110 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0191250Z triton_mm_1111 0.0123 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0192395Z triton_mm_1109 0.0174 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:37:15.0193547Z triton_mm_1114 0.0174 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0194675Z triton_mm_1120 0.0174 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:37:15.0195811Z triton_mm_1121 0.0184 ms 44.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:37:15.0196945Z triton_mm_1107 0.0195 ms 42.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:37:15.0197917Z SingleProcess AUTOTUNE benchmarking takes 1.8735 seconds and 5.1659 seconds precompiling for 19 choices 2025-09-09T14:37:15.0198724Z >>time: 0.012ms for , to_beat: infms 2025-09-09T14:37:15.0199330Z AUTOTUNE mixed_mm(16x256, 256x128) 2025-09-09T14:37:15.0199618Z fallback_mixed_mm 0.0113 ms 100.0% 2025-09-09T14:37:15.0200362Z triton_mm_1127 0.0113 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0201573Z triton_mm_1125 0.0123 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:37:15.0202767Z triton_mm_1124 0.0143 ms 78.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:37:15.0203960Z triton_mm_1128 0.0174 ms 64.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:37:15.0205153Z triton_mm_1129 0.0205 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:37:15.0206340Z triton_mm_1126 0.0256 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:02.1705940Z triton_mm_1136 0.0256 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1707273Z triton_mm_1137 0.0256 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:38:02.1708957Z triton_mm_1138 0.0317 ms 35.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:38:02.1709970Z SingleProcess AUTOTUNE benchmarking takes 1.9991 seconds and 6.9588 seconds precompiling for 19 choices 2025-09-09T14:38:02.1710883Z >>time: 0.016ms for , to_beat: 0.012ms 2025-09-09T14:38:02.1711890Z >>time: 0.009ms for , to_beat: 0.012ms 2025-09-09T14:38:02.1712548Z AUTOTUNE int_mm(16x256, 256x128, 16x128) 2025-09-09T14:38:02.1713279Z triton_mm_1146 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:38:02.1714420Z triton_mm_1147 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:38:02.1715550Z triton_mm_1148 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:02.1716678Z triton_mm_1150 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1717802Z triton_mm_1143 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1718924Z triton_mm_1144 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1720064Z triton_mm_1151 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:02.1721189Z triton_mm_1142 0.0092 ms 66.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1722331Z triton_mm_1145 0.0102 ms 60.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:38:02.1723458Z triton_mm_1149 0.0133 ms 46.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:38:02.1724425Z SingleProcess AUTOTUNE benchmarking takes 1.1610 seconds and 1.5535 seconds precompiling for 10 choices 2025-09-09T14:38:02.1725371Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:38:02.1726308Z best_cls= 2025-09-09T14:38:02.1726769Z 2025-09-09T14:38:02.1727084Z PASSED 2025-09-09T14:38:02.1727627Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_19_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:38:02.1728278Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:38:02.1728791Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:38:02.1729257Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:38:02.1729548Z bias_addmm 0.0113 ms 100.0% 2025-09-09T14:38:02.1729799Z addmm 0.0143 ms 78.6% 2025-09-09T14:38:02.1730479Z triton_mm_1153 0.0184 ms 61.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1731810Z triton_mm_1152 0.0256 ms 44.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:38:02.1732960Z triton_mm_1154 0.0287 ms 39.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1734099Z triton_mm_1155 0.0287 ms 39.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1735240Z triton_mm_1165 0.0307 ms 36.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1736377Z triton_mm_1158 0.0348 ms 32.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1737529Z triton_mm_1161 0.0399 ms 28.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1738679Z triton_mm_1157 0.0430 ms 26.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1739652Z SingleProcess AUTOTUNE benchmarking takes 1.7841 seconds and 10.7449 seconds precompiling for 19 choices 2025-09-09T14:38:02.1740453Z >>time: 0.014ms for , to_beat: infms 2025-09-09T14:38:02.1741002Z AUTOTUNE mixed_mm(64x256, 256x128) 2025-09-09T14:38:02.1741281Z fallback_mixed_mm 0.0154 ms 100.0% 2025-09-09T14:38:02.1742034Z triton_mm_1170 0.0164 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1743290Z triton_mm_1169 0.0205 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:38:02.1744479Z triton_mm_1172 0.0287 ms 53.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1745663Z triton_mm_1174 0.0399 ms 38.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:02.1747021Z triton_mm_1171 0.0471 ms 32.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1748254Z triton_mm_1181 0.0502 ms 30.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1749437Z triton_mm_1175 0.0870 ms 17.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:02.1750612Z triton_mm_1182 0.0881 ms 17.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:38:02.1751800Z triton_mm_1177 0.0942 ms 16.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float32', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1752807Z SingleProcess AUTOTUNE benchmarking takes 1.7047 seconds and 11.7324 seconds precompiling for 19 choices 2025-09-09T14:38:02.1754557Z >>time: 0.018ms for , to_beat: 0.014ms 2025-09-09T14:38:02.1755220Z AUTOTUNE int_mm(64x256, 256x128, 64x128) 2025-09-09T14:38:02.1755938Z triton_mm_1192 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1757064Z triton_mm_1193 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:02.1758187Z triton_mm_1189 0.0082 ms 87.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:02.1759294Z triton_mm_1191 0.0082 ms 87.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:38:31.7553404Z triton_mm_1195 0.0082 ms 87.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:31.7554713Z triton_mm_1188 0.0102 ms 70.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:31.7555845Z triton_mm_1190 0.0102 ms 70.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:38:31.7556991Z triton_mm_1196 0.0102 ms 70.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:31.7558119Z triton_mm_1187 0.0113 ms 63.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:31.7559258Z triton_mm_1194 0.0133 ms 53.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:38:31.7560228Z SingleProcess AUTOTUNE benchmarking takes 1.1593 seconds and 2.1994 seconds precompiling for 10 choices 2025-09-09T14:38:31.7561239Z >>time: 0.010ms for matmul, to_beat: 0.014ms 2025-09-09T14:38:31.7562274Z >>time: 0.015ms for , to_beat: 0.038ms 2025-09-09T14:38:31.7563380Z >>time: 0.015ms for interpolated, breakeven constant: 0.80 2025-09-09T14:38:31.7564279Z best_cls= 2025-09-09T14:38:31.7564648Z 2025-09-09T14:38:31.7564948Z PASSED 2025-09-09T14:38:31.7565493Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_20_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:38:31.7566102Z PASSED 2025-09-09T14:38:31.7566618Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_21_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:38:31.7567261Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:38:31.7567770Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:38:31.7568230Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:38:31.7568525Z bias_addmm 0.0061 ms 100.0% 2025-09-09T14:38:31.7569235Z triton_mm_1208 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:31.7570999Z triton_mm_1209 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:31.7572166Z triton_mm_1211 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7573327Z triton_mm_1210 0.0071 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:31.7574465Z triton_mm_1214 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:31.7575615Z triton_mm_1215 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7576774Z triton_mm_1220 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:31.7577911Z triton_mm_1221 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:38:31.7579052Z triton_mm_1213 0.0072 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:31.7580025Z SingleProcess AUTOTUNE benchmarking takes 2.1833 seconds and 3.3158 seconds precompiling for 19 choices 2025-09-09T14:38:31.7580831Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:38:31.7581383Z AUTOTUNE mixed_mm(64x128, 128x128) 2025-09-09T14:38:31.7582138Z triton_mm_1225 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:31.7583347Z triton_mm_1226 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:31.7584548Z triton_mm_1227 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:31.7585750Z triton_mm_1228 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7586964Z triton_mm_1241 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:38:31.7588261Z triton_mm_1240 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:31.7589453Z triton_mm_1224 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:38:31.7590643Z triton_mm_1230 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:38:31.7591889Z triton_mm_1231 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7593241Z triton_mm_1236 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:38:31.7594243Z SingleProcess AUTOTUNE benchmarking takes 2.1841 seconds and 3.8137 seconds precompiling for 19 choices 2025-09-09T14:38:31.7595142Z >>time: 0.010ms for , to_beat: 0.009ms 2025-09-09T14:38:31.7596174Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:38:31.7597018Z best_cls= 2025-09-09T14:38:31.7597377Z 2025-09-09T14:38:31.7597500Z PASSED 2025-09-09T14:38:31.7598027Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_22_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:38:31.7598669Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:38:31.7599181Z weight_shape: torch.Size([256, 128]), dtype: torch.float16, bias_shape: torch.Size([256]) 2025-09-09T14:38:31.7599650Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:38:31.7600378Z triton_mm_1253 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:38:31.7601540Z triton_mm_1255 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:38:31.7602693Z triton_mm_1260 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7603843Z triton_mm_1254 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:38:31.7605002Z triton_mm_1256 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:38:31.7606144Z triton_mm_1258 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:38:31.7607287Z triton_mm_1259 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9450905Z triton_mm_1262 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:12.9452149Z triton_mm_1264 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:39:12.9453353Z triton_mm_1265 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9454331Z SingleProcess AUTOTUNE benchmarking takes 2.1795 seconds and 2.5584 seconds precompiling for 19 choices 2025-09-09T14:39:12.9455129Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:39:12.9455680Z AUTOTUNE mixed_mm(16x128, 128x256) 2025-09-09T14:39:12.9456421Z triton_mm_1271 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9457635Z triton_mm_1273 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9459306Z triton_mm_1275 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9460510Z triton_mm_1270 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:39:12.9461705Z triton_mm_1272 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9462894Z triton_mm_1276 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9464092Z triton_mm_1277 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9465326Z triton_mm_1278 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:12.9466534Z triton_mm_1279 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9467822Z triton_mm_1280 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:39:12.9468838Z SingleProcess AUTOTUNE benchmarking takes 2.1831 seconds and 3.0877 seconds precompiling for 19 choices 2025-09-09T14:39:12.9469751Z >>time: 0.011ms for , to_beat: 0.009ms 2025-09-09T14:39:12.9470745Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:39:12.9471778Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:39:12.9472697Z best_cls= 2025-09-09T14:39:12.9473157Z 2025-09-09T14:39:12.9473458Z PASSED 2025-09-09T14:39:12.9474002Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_23_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:39:12.9474645Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:39:12.9475155Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:39:12.9475616Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:39:12.9476360Z triton_mm_1300 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9477518Z triton_mm_1301 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9478668Z triton_mm_1302 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9479819Z triton_mm_1305 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9480969Z triton_mm_1312 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:39:12.9482312Z triton_mm_1299 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:39:12.9483514Z triton_mm_1306 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9484653Z triton_mm_1308 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:12.9485803Z triton_mm_1309 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9486947Z triton_mm_1311 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9487931Z SingleProcess AUTOTUNE benchmarking takes 2.0769 seconds and 2.8027 seconds precompiling for 19 choices 2025-09-09T14:39:12.9488726Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:39:12.9489277Z AUTOTUNE mixed_mm(16x256, 256x128) 2025-09-09T14:39:12.9490012Z triton_mm_1316 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:39:12.9491220Z triton_mm_1317 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9492420Z triton_mm_1318 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9493623Z triton_mm_1319 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:39:12.9494825Z triton_mm_1321 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9496029Z triton_mm_1322 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:12.9497230Z triton_mm_1328 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:39:12.9498438Z triton_mm_1324 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:12.9499663Z triton_mm_1326 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:39:12.9500862Z triton_mm_1327 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:12.9501869Z SingleProcess AUTOTUNE benchmarking takes 2.1831 seconds and 3.7349 seconds precompiling for 19 choices 2025-09-09T14:39:12.9502816Z >>time: 0.011ms for , to_beat: 0.010ms 2025-09-09T14:39:12.9503815Z >>time: 0.009ms for , to_beat: 0.010ms 2025-09-09T14:39:12.9505018Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:39:48.6550448Z best_cls= 2025-09-09T14:39:48.6550939Z 2025-09-09T14:39:48.6551265Z PASSED 2025-09-09T14:39:48.6551828Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_24_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:39:48.6552488Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:39:48.6553062Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:39:48.6553538Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:39:48.6553835Z bias_addmm 0.0061 ms 100.0% 2025-09-09T14:39:48.6554565Z triton_mm_1344 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6555786Z triton_mm_1345 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6556949Z triton_mm_1346 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6558111Z triton_mm_1347 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6559266Z triton_mm_1350 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:39:48.6560422Z triton_mm_1357 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:48.6561154Z addmm 0.0092 ms 66.7% 2025-09-09T14:39:48.6561836Z triton_mm_1356 0.0092 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:48.6562992Z triton_mm_1349 0.0102 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6563986Z SingleProcess AUTOTUNE benchmarking takes 1.9733 seconds and 3.6888 seconds precompiling for 19 choices 2025-09-09T14:39:48.6564792Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:39:48.6565350Z AUTOTUNE mixed_mm(64x256, 256x128) 2025-09-09T14:39:48.6566105Z triton_mm_1361 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6567352Z triton_mm_1364 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6568564Z triton_mm_1362 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6569762Z triton_mm_1363 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6570984Z triton_mm_1376 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:48.6572774Z triton_mm_1377 0.0082 ms 75.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6573990Z triton_mm_1366 0.0092 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:39:48.6575203Z triton_mm_1367 0.0092 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6576413Z triton_mm_1372 0.0092 ms 66.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.float16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:48.6577170Z fallback_mixed_mm 0.0102 ms 60.0% 2025-09-09T14:39:48.6577724Z SingleProcess AUTOTUNE benchmarking takes 2.1882 seconds and 4.5276 seconds precompiling for 19 choices 2025-09-09T14:39:48.6578648Z >>time: 0.012ms for , to_beat: 0.010ms 2025-09-09T14:39:48.6579687Z >>time: 0.010ms for matmul, to_beat: 0.010ms 2025-09-09T14:39:48.6580625Z best_cls= 2025-09-09T14:39:48.6581085Z 2025-09-09T14:39:48.6581213Z PASSED 2025-09-09T14:39:48.6581738Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_25_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:39:48.6582346Z PASSED 2025-09-09T14:39:48.6582885Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_26_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:39:48.6583573Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:39:48.6584089Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:39:48.6584563Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:39:48.6584865Z bias_addmm 0.0061 ms 100.0% 2025-09-09T14:39:48.6585577Z triton_mm_1389 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6586744Z triton_mm_1390 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6587987Z triton_mm_1391 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6589156Z triton_mm_1392 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6590318Z triton_mm_1394 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6591470Z triton_mm_1395 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:39:48.6592623Z triton_mm_1396 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6593773Z triton_mm_1401 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:48.6594925Z triton_mm_1402 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:39:48.6596074Z SingleProcess AUTOTUNE benchmarking takes 2.1796 seconds and 3.4432 seconds precompiling for 19 choices 2025-09-09T14:39:48.6596873Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:39:48.6597426Z AUTOTUNE mixed_mm(64x128, 128x128) 2025-09-09T14:39:48.6598177Z triton_mm_1406 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:39:48.6599408Z triton_mm_1408 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6600624Z triton_mm_1409 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:39:48.6601859Z triton_mm_1421 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:39:48.6603134Z triton_mm_1422 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:39:48.6604351Z triton_mm_1407 0.0071 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:40:22.0925816Z triton_mm_1405 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:40:22.0928592Z triton_mm_1411 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:22.0931543Z triton_mm_1412 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:22.0932953Z triton_mm_1417 0.0072 ms 71.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0933979Z SingleProcess AUTOTUNE benchmarking takes 2.1839 seconds and 3.8878 seconds precompiling for 19 choices 2025-09-09T14:40:22.0934894Z >>time: 0.010ms for , to_beat: 0.010ms 2025-09-09T14:40:22.0935556Z AUTOTUNE int_mm(64x128, 128x128, 64x128) 2025-09-09T14:40:22.0936291Z triton_mm_1428 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:40:22.0937431Z triton_mm_1429 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:40:22.0938571Z triton_mm_1431 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:22.0939705Z triton_mm_1424 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0940825Z triton_mm_1425 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0942495Z triton_mm_1426 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:22.0943625Z triton_mm_1427 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:22.0944757Z triton_mm_1432 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:22.0945891Z triton_mm_1423 0.0082 ms 75.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:40:22.0947807Z triton_mm_1430 0.0082 ms 75.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:40:22.0948795Z SingleProcess AUTOTUNE benchmarking takes 1.1627 seconds and 1.9077 seconds precompiling for 10 choices 2025-09-09T14:40:22.0949739Z >>time: 0.010ms for matmul, to_beat: 0.010ms 2025-09-09T14:40:22.0950664Z best_cls= 2025-09-09T14:40:22.0951128Z 2025-09-09T14:40:22.0951426Z PASSED 2025-09-09T14:40:22.0952043Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_27_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:40:22.0952696Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:40:22.0953216Z weight_shape: torch.Size([256, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([256]) 2025-09-09T14:40:22.0953683Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:40:22.0954426Z triton_mm_1437 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:22.0955610Z triton_mm_1434 0.0052 ms 98.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:40:22.0956756Z triton_mm_1435 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:22.0957907Z triton_mm_1436 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:22.0959090Z triton_mm_1439 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:40:22.0960236Z triton_mm_1440 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0961394Z triton_mm_1441 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:22.0962604Z triton_mm_1443 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:22.0963761Z triton_mm_1445 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:22.0964918Z triton_mm_1446 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0966292Z SingleProcess AUTOTUNE benchmarking takes 2.1805 seconds and 2.3108 seconds precompiling for 19 choices 2025-09-09T14:40:22.0967171Z >>time: 0.009ms for , to_beat: infms 2025-09-09T14:40:22.0967776Z AUTOTUNE mixed_mm(16x128, 128x256) 2025-09-09T14:40:22.0968606Z triton_mm_1451 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:40:22.0969989Z triton_mm_1457 0.0051 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:22.0971360Z triton_mm_1463 0.0061 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:22.0972718Z triton_mm_1453 0.0061 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:22.0974072Z triton_mm_1452 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:22.0975432Z triton_mm_1454 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:22.0976789Z triton_mm_1456 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0978148Z triton_mm_1459 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:22.0979541Z triton_mm_1460 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:22.0980939Z triton_mm_1461 0.0061 ms 83.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:22.0982348Z SingleProcess AUTOTUNE benchmarking takes 2.1826 seconds and 2.9549 seconds precompiling for 19 choices 2025-09-09T14:40:22.0983609Z >>time: 0.010ms for , to_beat: 0.009ms 2025-09-09T14:40:22.0984749Z >>time: 0.009ms for , to_beat: 0.009ms 2025-09-09T14:40:22.0985482Z AUTOTUNE int_mm(16x128, 128x256, 16x256) 2025-09-09T14:40:49.0313805Z triton_mm_1474 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0314999Z triton_mm_1476 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0316172Z triton_mm_1478 0.0051 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:49.0317313Z triton_mm_1472 0.0061 ms 84.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:49.0318457Z triton_mm_1473 0.0061 ms 83.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0320157Z triton_mm_1469 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0321276Z triton_mm_1470 0.0061 ms 83.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0322393Z triton_mm_1468 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:40:49.0323515Z triton_mm_1471 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:49.0324650Z triton_mm_1477 0.0072 ms 71.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=256, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:49.0325637Z SingleProcess AUTOTUNE benchmarking takes 1.2800 seconds and 1.7666 seconds precompiling for 11 choices 2025-09-09T14:40:49.0326581Z >>time: 0.009ms for matmul, to_beat: 0.009ms 2025-09-09T14:40:49.0327503Z best_cls= 2025-09-09T14:40:49.0327965Z 2025-09-09T14:40:49.0328274Z PASSED 2025-09-09T14:40:49.0328809Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_28_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:40:49.0329517Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:40:49.0330032Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:40:49.0330502Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:40:49.0331243Z triton_mm_1481 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0332404Z triton_mm_1482 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0333566Z triton_mm_1483 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0334730Z triton_mm_1486 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0335882Z triton_mm_1487 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0337051Z triton_mm_1480 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:40:49.0338201Z triton_mm_1489 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:40:49.0339394Z triton_mm_1493 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:49.0340544Z triton_mm_1495 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:40:49.0341374Z bias_addmm 0.0082 ms 75.0% 2025-09-09T14:40:49.0341889Z SingleProcess AUTOTUNE benchmarking takes 2.0749 seconds and 2.7415 seconds precompiling for 19 choices 2025-09-09T14:40:49.0342766Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:40:49.0343312Z AUTOTUNE mixed_mm(16x256, 256x128) 2025-09-09T14:40:49.0344063Z triton_mm_1498 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0345285Z triton_mm_1500 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0346701Z triton_mm_1502 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0348033Z triton_mm_1503 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0349303Z triton_mm_1509 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:49.0350509Z triton_mm_1497 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=2 2025-09-09T14:40:49.0351718Z triton_mm_1499 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0352925Z triton_mm_1507 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:49.0354139Z triton_mm_1508 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0355347Z triton_mm_1511 0.0072 ms 85.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:40:49.0356360Z SingleProcess AUTOTUNE benchmarking takes 2.1851 seconds and 3.3648 seconds precompiling for 19 choices 2025-09-09T14:40:49.0357258Z >>time: 0.011ms for , to_beat: 0.010ms 2025-09-09T14:40:49.0358253Z >>time: 0.009ms for , to_beat: 0.010ms 2025-09-09T14:40:49.0358913Z AUTOTUNE int_mm(16x256, 256x128, 16x128) 2025-09-09T14:40:49.0359689Z triton_mm_1518 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=4 2025-09-09T14:40:49.0360822Z triton_mm_1519 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=2 2025-09-09T14:40:49.0361949Z triton_mm_1520 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:40:49.0363082Z triton_mm_1522 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0364228Z triton_mm_1523 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:40:49.0365618Z triton_mm_1515 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:40:49.0366746Z triton_mm_1516 0.0072 ms 85.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9729216Z triton_mm_1514 0.0092 ms 66.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:41:13.9730400Z triton_mm_1517 0.0102 ms 60.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:41:13.9731562Z triton_mm_1521 0.0133 ms 46.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:41:13.9732584Z SingleProcess AUTOTUNE benchmarking takes 1.1635 seconds and 1.5198 seconds precompiling for 10 choices 2025-09-09T14:41:13.9733535Z >>time: 0.010ms for matmul, to_beat: 0.009ms 2025-09-09T14:41:13.9734465Z best_cls= 2025-09-09T14:41:13.9734935Z 2025-09-09T14:41:13.9735231Z PASSED 2025-09-09T14:41:13.9735769Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_29_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:41:13.9736428Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:41:13.9736950Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:41:13.9737418Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:41:13.9738180Z triton_mm_1525 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:41:13.9739344Z triton_mm_1526 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9740504Z triton_mm_1527 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9741667Z triton_mm_1528 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:41:13.9742391Z bias_addmm 0.0082 ms 87.5% 2025-09-09T14:41:13.9743083Z triton_mm_1531 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:41:13.9744237Z triton_mm_1537 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9745379Z triton_mm_1538 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:41:13.9746275Z addmm 0.0102 ms 70.0% 2025-09-09T14:41:13.9746978Z triton_mm_1530 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:41:13.9748037Z SingleProcess AUTOTUNE benchmarking takes 1.9728 seconds and 3.4834 seconds precompiling for 19 choices 2025-09-09T14:41:13.9748845Z >>time: 0.010ms for , to_beat: infms 2025-09-09T14:41:13.9749703Z AUTOTUNE mixed_mm(64x256, 256x128) 2025-09-09T14:41:13.9750618Z triton_mm_1542 0.0072 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:41:13.9751840Z triton_mm_1543 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9753036Z triton_mm_1544 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9754253Z triton_mm_1545 0.0082 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:41:13.9755477Z triton_mm_1548 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=4 2025-09-09T14:41:13.9756736Z triton_mm_1557 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9757956Z triton_mm_1558 0.0092 ms 77.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9759167Z triton_mm_1547 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:41:13.9760361Z triton_mm_1553 0.0102 ms 70.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9761577Z triton_mm_1541 0.0103 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=1, num_warps=2 2025-09-09T14:41:13.9762587Z SingleProcess AUTOTUNE benchmarking takes 2.1849 seconds and 4.0654 seconds precompiling for 19 choices 2025-09-09T14:41:13.9763483Z >>time: 0.013ms for , to_beat: 0.010ms 2025-09-09T14:41:13.9764139Z AUTOTUNE int_mm(64x256, 256x128, 64x128) 2025-09-09T14:41:13.9764852Z triton_mm_1563 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:41:13.9765977Z triton_mm_1564 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9767114Z triton_mm_1565 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8 2025-09-09T14:41:13.9768236Z triton_mm_1567 0.0072 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:41:13.9769357Z triton_mm_1561 0.0082 ms 87.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9770481Z triton_mm_1560 0.0092 ms 77.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=4 2025-09-09T14:41:13.9771595Z triton_mm_1562 0.0092 ms 77.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=4, num_warps=8 2025-09-09T14:41:13.9772890Z triton_mm_1568 0.0092 ms 77.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=3, num_warps=8 2025-09-09T14:41:13.9774017Z triton_mm_1559 0.0102 ms 70.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=4 2025-09-09T14:41:13.9775130Z triton_mm_1566 0.0113 ms 63.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, B_PROLOGUE_CAST_TYPE=None, EVEN_K=True, GROUP_M=8, num_stages=2, num_warps=8 2025-09-09T14:41:13.9776146Z SingleProcess AUTOTUNE benchmarking takes 1.1630 seconds and 2.0377 seconds precompiling for 10 choices 2025-09-09T14:41:13.9777077Z >>time: 0.012ms for matmul, to_beat: 0.010ms 2025-09-09T14:41:13.9777913Z best_cls= 2025-09-09T14:41:13.9778265Z 2025-09-09T14:41:13.9778406Z PASSED 2025-09-09T14:41:13.9778865Z test/integration/test_integration.py::TestAOTI::test_aoti_00 SKIPPED 2025-09-09T14:41:13.9779547Z test/integration/test_integration.py::TestAOTI::test_aoti_01 SKIPPED 2025-09-09T14:41:13.9780219Z test/integration/test_integration.py::TestAOTI::test_aoti_02 SKIPPED 2025-09-09T14:41:13.9780892Z test/integration/test_integration.py::TestAOTI::test_aoti_03 SKIPPED 2025-09-09T14:41:13.9781566Z test/integration/test_integration.py::TestAOTI::test_aoti_04 SKIPPED 2025-09-09T14:41:13.9782231Z test/integration/test_integration.py::TestAOTI::test_aoti_05 SKIPPED 2025-09-09T14:41:13.9782903Z test/integration/test_integration.py::TestAOTI::test_aoti_06 SKIPPED 2025-09-09T14:41:13.9783575Z test/integration/test_integration.py::TestAOTI::test_aoti_07 SKIPPED 2025-09-09T14:41:13.9784246Z test/integration/test_integration.py::TestAOTI::test_aoti_08 SKIPPED 2025-09-09T14:41:13.9784916Z test/integration/test_integration.py::TestAOTI::test_aoti_09 SKIPPED 2025-09-09T14:41:18.2028316Z test/integration/test_integration.py::TestAOTI::test_aoti_10 SKIPPED 2025-09-09T14:41:18.2029063Z test/integration/test_integration.py::TestAOTI::test_aoti_11 SKIPPED 2025-09-09T14:41:18.2029756Z test/integration/test_integration.py::TestAOTI::test_aoti_12 SKIPPED 2025-09-09T14:41:18.2030434Z test/integration/test_integration.py::TestAOTI::test_aoti_13 SKIPPED 2025-09-09T14:41:18.2031119Z test/integration/test_integration.py::TestAOTI::test_aoti_14 SKIPPED 2025-09-09T14:41:18.2031786Z test/integration/test_integration.py::TestAOTI::test_aoti_15 SKIPPED 2025-09-09T14:41:18.2032461Z test/integration/test_integration.py::TestAOTI::test_aoti_16 SKIPPED 2025-09-09T14:41:18.2033152Z test/integration/test_integration.py::TestAOTI::test_aoti_17 SKIPPED 2025-09-09T14:41:18.2033845Z test/integration/test_integration.py::TestExport::test_export_00 PASSED 2025-09-09T14:41:18.2034550Z test/integration/test_integration.py::TestExport::test_export_01 PASSED 2025-09-09T14:41:18.2035244Z test/integration/test_integration.py::TestExport::test_export_02 PASSED 2025-09-09T14:41:18.2035941Z test/integration/test_integration.py::TestExport::test_export_03 PASSED 2025-09-09T14:41:18.2036637Z test/integration/test_integration.py::TestExport::test_export_04 PASSED 2025-09-09T14:41:18.2037392Z test/integration/test_integration.py::TestExport::test_export_05 PASSED 2025-09-09T14:41:18.2038088Z test/integration/test_integration.py::TestExport::test_export_06 PASSED 2025-09-09T14:41:18.2038780Z test/integration/test_integration.py::TestExport::test_export_07 PASSED 2025-09-09T14:41:18.2039731Z test/integration/test_integration.py::TestExport::test_export_08 PASSED 2025-09-09T14:41:18.2040421Z test/integration/test_integration.py::TestExport::test_export_09 PASSED 2025-09-09T14:41:18.2041247Z test/integration/test_integration.py::TestExport::test_export_10 PASSED 2025-09-09T14:41:18.2041945Z test/integration/test_integration.py::TestExport::test_export_11 PASSED 2025-09-09T14:41:18.2042640Z test/integration/test_integration.py::TestExport::test_export_12 PASSED 2025-09-09T14:41:18.2043337Z test/integration/test_integration.py::TestExport::test_export_13 PASSED 2025-09-09T14:41:18.2044028Z test/integration/test_integration.py::TestExport::test_export_14 PASSED 2025-09-09T14:41:18.2044730Z test/integration/test_integration.py::TestExport::test_export_15 PASSED 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test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_00 SKIPPED 2025-09-09T14:41:18.2052823Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_01 SKIPPED 2025-09-09T14:41:18.2053623Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_02 SKIPPED 2025-09-09T14:41:18.2054414Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_03 SKIPPED 2025-09-09T14:41:18.2055200Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_04 SKIPPED 2025-09-09T14:41:18.2055992Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_05 PASSED 2025-09-09T14:41:18.2056773Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_06 SKIPPED 2025-09-09T14:41:18.2057574Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_07 SKIPPED 2025-09-09T14:41:18.2058363Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_08 SKIPPED 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test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_17 PASSED 2025-09-09T14:41:18.2066336Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cpu PASSED 2025-09-09T14:41:18.2068862Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cuda PASSED 2025-09-09T14:41:18.2070050Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_deprecated_hf_models_model_info0 SKIPPED 2025-09-09T14:41:18.2071714Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_deprecated_single_linear_model_name_torchao-testing/single-linear-Float8DynamicActivationFloat8WeightConfig-v1-0_13_dev SKIPPED 2025-09-09T14:41:18.2073741Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Float8DynamicActivationFloat8WeightConfig-v2-0_13_dev SKIPPED 2025-09-09T14:41:18.2075640Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Int4WeightOnlyConfig-preshuffled-v2-0_13_dev SKIPPED 2025-09-09T14:41:18.2077421Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Int4WeightOnlyConfig-v2-0_13_dev SKIPPED 2025-09-09T14:41:18.2078588Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_0_cuda PASSED 2025-09-09T14:41:18.2079272Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_1_cuda PASSED 2025-09-09T14:41:18.2080000Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_float8_0_cuda SKIPPED 2025-09-09T14:41:18.2080744Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_float8_1_cuda SKIPPED 2025-09-09T14:41:18.2081495Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_0_cuda PASSED 2025-09-09T14:41:18.2082239Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_1_cpu PASSED 2025-09-09T14:41:18.2082967Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_2_cuda PASSED 2025-09-09T14:41:18.2083713Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_3_cpu PASSED 2025-09-09T14:41:18.2084683Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-2-512-128] SKIPPED 2025-09-09T14:41:18.2085850Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-2-5120-1280] SKIPPED 2025-09-09T14:41:18.2087008Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-3-2048-2048] SKIPPED 2025-09-09T14:41:18.2088215Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-4-3584-640] SKIPPED 2025-09-09T14:41:18.2089372Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-13-8704-8576] SKIPPED 2025-09-09T14:41:18.2090552Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-26-18944-1664] SKIPPED 2025-09-09T14:41:18.2091722Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x128[dtype0-67-6656-1408] SKIPPED 2025-09-09T14:41:18.2092872Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-2-512-128] SKIPPED 2025-09-09T14:41:18.2094008Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-2-5120-1280] SKIPPED 2025-09-09T14:41:18.2095151Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-3-2048-2048] SKIPPED 2025-09-09T14:41:18.2096289Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-4-3584-640] SKIPPED 2025-09-09T14:41:18.2097426Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-13-8704-8576] SKIPPED 2025-09-09T14:41:18.2098810Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-26-18944-1664] SKIPPED 2025-09-09T14:41:18.2099961Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_fp8_gemm_1x128_128x1[dtype0-67-6656-1408] SKIPPED 2025-09-09T14:41:18.2101083Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_quantize_fp8_act_quant_lhs[128] SKIPPED 2025-09-09T14:41:18.6386589Z test/prototype/blockwise_fp8_training/test_blockwise_kernels.py::test_triton_quantize_fp8_act_quant_lhs[256] SKIPPED 2025-09-09T14:41:18.6387766Z 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test/prototype/test_gguf_quant.py::TestGGUFQuantization::test_choose_qparams_gguf PASSED 2025-09-09T14:41:31.1636878Z test/prototype/test_gguf_quant.py::TestGGUFQuantization::test_gguf_quantized_tensor_from_float PASSED 2025-09-09T14:41:31.1637838Z test/prototype/test_gguf_quant.py::TestGGUFQuantization::test_quantize_api PASSED 2025-09-09T14:41:31.1638967Z test/prototype/test_mixed_precision.py::TestWeightOnlyQuantNaive::test_quantization_intNwo PASSED 2025-09-09T14:41:31.1639976Z test/prototype/test_parametrization.py::TestFakeSparsity::test_jit_trace PASSED 2025-09-09T14:41:31.1640775Z test/prototype/test_parametrization.py::TestFakeSparsity::test_masking_logic PASSED 2025-09-09T14:41:31.1641635Z test/prototype/test_parametrization.py::TestFakeSparsity::test_state_dict_preserved PASSED 2025-09-09T14:41:31.1642523Z test/prototype/test_parametrization.py::TestFakeSparsity::test_weights_parametrized PASSED 2025-09-09T14:41:31.1643325Z test/prototype/test_paretoq.py::TestParetoQ::test_quantize_functions PASSED 2025-09-09T14:41:31.1644039Z test/prototype/test_paretoq.py::TestParetoQ::test_quantized_linear PASSED 2025-09-09T14:41:31.1645039Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_0_unif_quant_False_hard_prox_False_per_group_quantizer_False PASSED 2025-09-09T14:41:31.1646704Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_0_unif_quant_False_hard_prox_False_per_group_quantizer_True PASSED 2025-09-09T14:41:31.1647980Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_0_unif_quant_False_hard_prox_True_per_group_quantizer_False PASSED 2025-09-09T14:41:31.1649215Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_0_unif_quant_False_hard_prox_True_per_group_quantizer_True PASSED 2025-09-09T14:41:31.1650455Z 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test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_False_hard_prox_True_per_group_quantizer_False PASSED 2025-09-09T14:41:31.1679317Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_False_hard_prox_True_per_group_quantizer_True PASSED 2025-09-09T14:41:31.1680558Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_True_hard_prox_False_per_group_quantizer_False PASSED 2025-09-09T14:41:31.1681798Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_True_hard_prox_False_per_group_quantizer_True PASSED 2025-09-09T14:41:31.1683024Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_True_hard_prox_True_per_group_quantizer_False PASSED 2025-09-09T14:42:54.9262314Z test/prototype/test_parq.py::TestPARQuantization::test_parq_train_loop_b_4_unif_quant_True_hard_prox_True_per_group_quantizer_True PASSED 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test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_b_4_group_size_32 PASSED 2025-09-09T14:42:54.9272660Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_b_4_group_size_512 PASSED 2025-09-09T14:42:54.9273784Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_b_8_group_size_32 PASSED 2025-09-09T14:42:54.9274912Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_b_8_group_size_512 PASSED 2025-09-09T14:42:54.9276002Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_e2e_b_2 PASSED 2025-09-09T14:42:54.9277462Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_e2e_b_3 PASSED 2025-09-09T14:42:54.9280355Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_e2e_b_4 PASSED 2025-09-09T14:42:54.9281407Z test/prototype/test_parq.py::TestUnifTorchaoQuantizer::test_intx_weight_only_e2e_b_8 PASSED 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test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_2_float32_group_size_32 PASSED 2025-09-09T14:42:54.9292650Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_3_float16_group_size_128 PASSED 2025-09-09T14:42:54.9294046Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_3_float16_group_size_32 PASSED 2025-09-09T14:42:54.9295495Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_3_float32_group_size_128 PASSED 2025-09-09T14:42:54.9296892Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_3_float32_group_size_32 PASSED 2025-09-09T14:42:54.9298297Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_4_float16_group_size_128 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test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_8_float32_group_size_128 PASSED 2025-09-09T14:42:54.9308132Z test/prototype/test_parq.py::TestInt8DynamicActivationTorchaoQuantizer::test_int8_dynamic_activation_intx_e2e_b_8_float32_group_size_32 PASSED 2025-09-09T14:42:54.9309347Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_bitnet_training_compile_False SKIPPED 2025-09-09T14:42:54.9310402Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_bitnet_training_compile_True SKIPPED 2025-09-09T14:42:54.9311626Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config0_module_swap_False PASSED 2025-09-09T14:42:54.9313198Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config0_module_swap_True PASSED 2025-09-09T14:42:54.9314583Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config1_module_swap_False PASSED 2025-09-09T14:42:54.9315962Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config1_module_swap_True PASSED 2025-09-09T14:42:54.9317345Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config2_module_swap_False PASSED 2025-09-09T14:42:54.9318719Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config2_module_swap_True PASSED 2025-09-09T14:42:54.9320103Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config3_module_swap_False PASSED 2025-09-09T14:42:54.9321493Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_False_config3_module_swap_True PASSED 2025-09-09T14:42:54.9322861Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_True_config0_module_swap_False PASSED 2025-09-09T14:42:54.9324234Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_True_config0_module_swap_True PASSED 2025-09-09T14:42:54.9325655Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_True_config1_module_swap_False PASSED 2025-09-09T14:42:54.9327017Z test/prototype/test_quantized_training.py::TestQuantizedTraining::test_int8_mixed_precision_training_compile_True_config1_module_swap_True PASSED 2025-09-09T14:42:54.9328400Z 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test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha0_quant_mode_static_device_cuda_float32 SKIPPED 2025-09-09T14:47:31.0892572Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cpu_bfloat16 SKIPPED 2025-09-09T14:47:31.0894120Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cpu_float16 SKIPPED 2025-09-09T14:47:31.0895662Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cpu_float32 SKIPPED 2025-09-09T14:47:31.0898016Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cuda_bfloat16 SKIPPED 2025-09-09T14:47:31.0899582Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cuda_float16 SKIPPED 2025-09-09T14:47:31.0901127Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_dynamic_device_cuda_float32 SKIPPED 2025-09-09T14:47:31.0902664Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cpu_bfloat16 SKIPPED 2025-09-09T14:47:31.0904223Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cpu_float16 SKIPPED 2025-09-09T14:47:31.0905763Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cpu_float32 SKIPPED 2025-09-09T14:47:31.0907419Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cuda_bfloat16 SKIPPED 2025-09-09T14:47:31.0908958Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cuda_float16 SKIPPED 2025-09-09T14:47:31.0910504Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_5_quant_mode_static_device_cuda_float32 SKIPPED 2025-09-09T14:47:31.0912073Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cpu_bfloat16 SKIPPED 2025-09-09T14:47:31.0923611Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cpu_float16 SKIPPED 2025-09-09T14:47:31.0925191Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cpu_float32 SKIPPED 2025-09-09T14:47:31.0926756Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cuda_bfloat16 SKIPPED 2025-09-09T14:47:31.0928314Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cuda_float16 SKIPPED 2025-09-09T14:47:31.0929866Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_dynamic_device_cuda_float32 SKIPPED 2025-09-09T14:47:31.0931414Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cpu_bfloat16 SKIPPED 2025-09-09T14:47:31.0933045Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cpu_float16 SKIPPED 2025-09-09T14:47:31.0934369Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cpu_float32 SKIPPED 2025-09-09T14:47:31.0935688Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cuda_bfloat16 SKIPPED 2025-09-09T14:47:31.0937013Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cuda_float16 SKIPPED 2025-09-09T14:47:31.0938334Z test/prototype/test_smoothquant.py::TestSmoothQuant::test_smoothquant_accuracy_bias_True_alpha_0_75_quant_mode_static_device_cuda_float32 SKIPPED 2025-09-09T14:47:31.0939365Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_constructor PASSED 2025-09-09T14:47:31.0940135Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_convert PASSED 2025-09-09T14:47:31.0941012Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_mask_squash PASSED 2025-09-09T14:47:31.0941933Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_mask_squash_with_params1 PASSED 2025-09-09T14:47:31.0942907Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_mask_squash_with_params2 PASSED 2025-09-09T14:47:31.0943803Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_mask_squash_with_params3 PASSED 2025-09-09T14:47:31.0944653Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_prepare_config PASSED 2025-09-09T14:47:31.0945426Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_state_dict PASSED 2025-09-09T14:47:31.0946419Z test/prototype/test_sparsifier.py::TestBaseSparsifier::test_step PASSED 2025-09-09T14:47:31.0947259Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_constructor PASSED 2025-09-09T14:47:31.0948197Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_mask_squash PASSED 2025-09-09T14:47:31.0949103Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_prepare PASSED 2025-09-09T14:47:31.0950028Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_sparsity_levels PASSED 2025-09-09T14:47:31.0950922Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_step PASSED 2025-09-09T14:47:31.0951811Z test/prototype/test_sparsifier.py::TestWeightNormSparsifier::test_step_2_of_4 PASSED 2025-09-09T14:47:31.0952824Z test/prototype/test_sparsifier.py::TestNearlyDiagonalSparsifier::test_constructor PASSED 2025-09-09T14:47:31.0953796Z test/prototype/test_sparsifier.py::TestNearlyDiagonalSparsifier::test_mask_squash PASSED 2025-09-09T14:47:31.0954754Z test/prototype/test_sparsifier.py::TestNearlyDiagonalSparsifier::test_prepare PASSED 2025-09-09T14:47:31.0955730Z test/prototype/test_sparsifier.py::TestNearlyDiagonalSparsifier::test_sparsity_levels PASSED 2025-09-09T14:47:31.0956703Z test/prototype/test_sparsifier.py::TestNearlyDiagonalSparsifier::test_step PASSED 2025-09-09T14:47:31.0957652Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_fqn_to_module PASSED 2025-09-09T14:47:31.0958674Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_fqn_to_module_fail PASSED 2025-09-09T14:47:31.0959759Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_fqn_to_module_for_tensors PASSED 2025-09-09T14:47:31.0960885Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn PASSED 2025-09-09T14:47:31.0962050Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn_fail PASSED 2025-09-09T14:47:31.0963135Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_module_to_fqn PASSED 2025-09-09T14:47:31.0964154Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_module_to_fqn_fail PASSED 2025-09-09T14:47:31.0965201Z test/prototype/test_sparsity_utils.py::TestSparsityUtilFunctions::test_module_to_fqn_root PASSED 2025-09-09T14:47:31.0966110Z test/prototype/test_spinquant.py::test_spinquant_no_quantization[cpu] PASSED 2025-09-09T14:47:31.0966916Z test/prototype/test_spinquant.py::test_spinquant_no_quantization[cuda] PASSED 2025-09-09T14:47:31.0967923Z test/prototype/test_structured_sparsifier.py::TestSaliencyPruner::test_lstm_saliency_pruner_update_mask PASSED 2025-09-09T14:47:31.0969072Z test/prototype/test_structured_sparsifier.py::TestSaliencyPruner::test_saliency_pruner_update_mask PASSED 2025-09-09T14:47:31.0970205Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_complex_conv2d PASSED 2025-09-09T14:47:31.0971317Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_constructor PASSED 2025-09-09T14:47:31.0972641Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prepare_conv2d PASSED 2025-09-09T14:47:31.0973681Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prepare_linear PASSED 2025-09-09T14:47:31.0974787Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_conv2d_activation_conv2d PASSED 2025-09-09T14:47:31.0975926Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_conv2d_bias_conv2d PASSED 2025-09-09T14:47:33.0236378Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_conv2d_conv2d PASSED 2025-09-09T14:47:33.0237549Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_conv2d_padding_conv2d PASSED 2025-09-09T14:47:33.0238694Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_conv2d_pool_conv2d PASSED 2025-09-09T14:47:33.0239862Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_linear_activation_linear PASSED 2025-09-09T14:47:33.0241014Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_linear_bias_linear PASSED 2025-09-09T14:47:33.0242102Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_linear_linear PASSED 2025-09-09T14:47:33.0243285Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_multiple_layer PASSED 2025-09-09T14:47:33.0244540Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_single_layer PASSED 2025-09-09T14:47:33.0245763Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_multiple_layer PASSED 2025-09-09T14:47:33.0247116Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_single_layer PASSED 2025-09-09T14:47:33.0248197Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_step_conv2d PASSED 2025-09-09T14:47:33.0249197Z test/prototype/test_structured_sparsifier.py::TestBaseStructuredSparsifier::test_step_linear PASSED 2025-09-09T14:47:33.0250145Z test/prototype/test_structured_sparsifier.py::TestFPGMPruner::test_compute_distance PASSED 2025-09-09T14:47:33.0251001Z test/prototype/test_structured_sparsifier.py::TestFPGMPruner::test_update_mask PASSED 2025-09-09T14:47:33.0251995Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_attention_block SKIPPED 2025-09-09T14:47:33.0253059Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_conv2d SKIPPED 2025-09-09T14:47:33.0254125Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_conv2d_binary SKIPPED 2025-09-09T14:47:33.0255226Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_conv2d_binary2 SKIPPED 2025-09-09T14:47:33.0256352Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_dynamic_quant_linear SKIPPED 2025-09-09T14:47:33.0257511Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_filter_linear_recipe SKIPPED 2025-09-09T14:47:33.0258598Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_linear SKIPPED 2025-09-09T14:47:33.0259643Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_linear_unary SKIPPED 2025-09-09T14:47:33.0260755Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_linear_unary_dynamic SKIPPED 2025-09-09T14:47:33.0262105Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_linear_unary_dynamic_qat SKIPPED 2025-09-09T14:47:33.0263421Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_linear_unary_qat SKIPPED 2025-09-09T14:47:33.0264508Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_qat_conv2d SKIPPED 2025-09-09T14:47:33.0265595Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_qat_conv2d_binary SKIPPED 2025-09-09T14:47:33.0266723Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_qat_conv2d_binary2 SKIPPED 2025-09-09T14:47:33.0267942Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_qat_dynamic_quant_linear SKIPPED 2025-09-09T14:47:33.0269181Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_and_module_type_case1 SKIPPED 2025-09-09T14:47:33.0270484Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_and_module_type_case2 SKIPPED 2025-09-09T14:47:33.0271818Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_and_module_type_with_mixed_configs SKIPPED 2025-09-09T14:47:33.0273140Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_qconfig SKIPPED 2025-09-09T14:47:33.0274409Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_qconfig_for_dynamic_quant SKIPPED 2025-09-09T14:47:33.0275723Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_qconfig_with_underscores SKIPPED 2025-09-09T14:47:33.0277007Z test/quantization/pt2e/test_arm_inductor_quantizer.py::TestQuantizePT2EArmInductor::test_set_module_name_with_mixed_configs SKIPPED 2025-09-09T14:47:33.0278162Z test/quantization/pt2e/test_duplicate_dq.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig SKIPPED 2025-09-09T14:47:33.0279202Z test/quantization/pt2e/test_duplicate_dq.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq SKIPPED 2025-09-09T14:47:33.0280207Z test/quantization/pt2e/test_duplicate_dq.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq SKIPPED 2025-09-09T14:47:33.0281182Z test/quantization/pt2e/test_duplicate_dq.py::TestDuplicateDQPass::test_simple_duplicate_dq SKIPPED 2025-09-09T14:47:33.0282093Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_conv_bn_conv_relu PASSED 2025-09-09T14:47:33.0283270Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_conv_bn_relu W0909 14:47:32.864620 936 site-packages/torch/fx/experimental/symbolic_shapes.py:2569] Failed to reduce inequalities: 1/2 2025-09-09T14:47:33.0284240Z PASSED 2025-09-09T14:47:33.0285204Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_customized_equivalet_types_dict W0909 14:47:32.980530 936 site-packages/torch/fx/experimental/symbolic_shapes.py:2569] Failed to reduce inequalities: 1/2 2025-09-09T14:47:33.0286243Z PASSED 2025-09-09T14:47:33.0286890Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_metadata_porting_for_dq SKIPPED 2025-09-09T14:47:33.0287992Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q SKIPPED 2025-09-09T14:47:33.0289112Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_metadata_porting_for_two_dq SKIPPED 2025-09-09T14:47:33.0290262Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween SKIPPED 2025-09-09T14:47:33.0291362Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_no_metadata_porting SKIPPED 2025-09-09T14:47:33.0292668Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops SKIPPED 2025-09-09T14:47:33.0293836Z test/quantization/pt2e/test_metadata_porting.py::TestMetaDataPorting::test_simple_metadata_porting SKIPPED 2025-09-09T14:47:33.0294929Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_added_node_gets_unique_id SKIPPED 2025-09-09T14:47:33.0295991Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_control_flow SKIPPED 2025-09-09T14:47:33.0297027Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_copy_preserve_handle SKIPPED 2025-09-09T14:47:33.0298135Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_deepcopy_preserve_handle SKIPPED 2025-09-09T14:47:33.0299304Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_prepare_for_propagation_comparison SKIPPED 2025-09-09T14:47:33.0300476Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_re_export_preserve_handle SKIPPED 2025-09-09T14:47:33.0301674Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_run_decompositions_map_handle_to_new_nodes SKIPPED 2025-09-09T14:47:33.0302914Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_run_decompositions_same_handle_id SKIPPED 2025-09-09T14:47:33.0304012Z test/quantization/pt2e/test_numeric_debugger.py::TestNumericDebuggerInfra::test_simple SKIPPED 2025-09-09T14:47:33.0305015Z test/quantization/pt2e/test_quantize_pt2e.py::TestQuantizePT2E::test_allow_exported_model_train_eval SKIPPED 2025-09-09T14:47:33.0306109Z test/quantization/pt2e/test_quantize_pt2e.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent SKIPPED 2025-09-09T14:47:33.0307262Z test/quantization/pt2e/test_quantize_pt2e.py::TestQuantizePT2E::test_allow_implicit_sharing SKIPPED 2025-09-09T14:47:33.0308205Z 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test/quantization/pt2e/test_quantize_pt2e.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights SKIPPED 2025-09-09T14:47:33.0772064Z test/quantization/pt2e/test_quantize_pt2e.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights SKIPPED 2025-09-09T14:47:33.0773278Z test/quantization/pt2e/test_quantize_pt2e_qat.py::TestQuantizePT2EQAT_ConvBn_Base::test_fold_bn_erases_bn_node SKIPPED 2025-09-09T14:47:33.0774438Z test/quantization/pt2e/test_quantize_pt2e_qat.py::TestQuantizePT2EQAT_ConvBn_Base::test_qat_conv_bn_bias_derived_qspec SKIPPED 2025-09-09T14:47:33.0775576Z test/quantization/pt2e/test_quantize_pt2e_qat.py::TestQuantizePT2EQAT_ConvBn_Base::test_qat_conv_bn_fusion SKIPPED 2025-09-09T14:47:33.0776688Z test/quantization/pt2e/test_quantize_pt2e_qat.py::TestQuantizePT2EQAT_ConvBn_Base::test_qat_conv_bn_fusion_cuda SKIPPED 2025-09-09T14:47:33.0777860Z 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test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1154290Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1156157Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1158016Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1159871Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1161960Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1163869Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1165714Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1167566Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1169443Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1171285Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1173125Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1357726Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1359595Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1361450Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1363290Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1365133Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1366975Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1368821Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1370660Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1372501Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1374352Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1376439Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1378282Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1380110Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1381940Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1383778Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1385594Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1387495Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1389333Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1391172Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1393040Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1394892Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1396729Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1398576Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1400416Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1402250Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1404099Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1406178Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1408022Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1409851Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1411676Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1413559Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1415374Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1417202Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1419037Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1420867Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1422694Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1614640Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1616502Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1618334Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1620168Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1622013Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1623851Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1625952Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1627859Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1629684Z 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test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1638820Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1640641Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1642472Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_False_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1644310Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1646467Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1648317Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1650168Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1652010Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1653848Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1655691Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1657997Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1660065Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1662139Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1664203Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1666269Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1668247Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1670082Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1671906Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1673904Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1675977Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1678039Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1680100Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1682169Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1889436Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1891283Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1893160Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1895244Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1897055Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1898873Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1900685Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1902510Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1904324Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1906145Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1908028Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1909846Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_bfloat16_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1911669Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1913493Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1915310Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1917141Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1918977Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1920811Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1922639Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1924682Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1926495Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1928315Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1930129Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1931943Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1933825Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1935648Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1937465Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1939275Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_False_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1941104Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1942985Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1944806Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1946784Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1948675Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1950510Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1952346Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.1954174Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_False_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.1956229Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.2302676Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.2304568Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.2306379Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_1_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.2308260Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.2310092Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_False_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.2311912Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_False SKIPPED 2025-09-09T14:47:33.2313717Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_da8w8_sym_act_sym_wgt_with_int_mm_has_bias_True_float32_dynamic_True_reshape_a_True_M_32_inplace_add_True_expand_a_scale_True SKIPPED 2025-09-09T14:47:33.2315126Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_dynamic_qlinear_cpu SKIPPED 2025-09-09T14:47:33.2316230Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_dynamic_qlinear_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2317337Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_dynamic_qlinear_qat_cpu SKIPPED 2025-09-09T14:47:33.2318375Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_linear_dynamic_fp16 SKIPPED 2025-09-09T14:47:33.2319411Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_linear_relu_dynamic_fp16 SKIPPED 2025-09-09T14:47:33.2320413Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d SKIPPED 2025-09-09T14:47:33.2321375Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_add SKIPPED 2025-09-09T14:47:33.2322374Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_add_relu SKIPPED 2025-09-09T14:47:33.2323459Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_hardswish SKIPPED 2025-09-09T14:47:33.2324479Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_hardtanh SKIPPED 2025-09-09T14:47:33.2325478Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_relu SKIPPED 2025-09-09T14:47:33.2326459Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_relu6 SKIPPED 2025-09-09T14:47:33.2327434Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qat_qconv2d_silu SKIPPED 2025-09-09T14:47:33.2328359Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qcat SKIPPED 2025-09-09T14:47:33.2329426Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv1d_relu_cpu SKIPPED 2025-09-09T14:47:33.2330496Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_2 SKIPPED 2025-09-09T14:47:33.2339073Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_3 SKIPPED 2025-09-09T14:47:33.2340199Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_broadcast_shapes_cpu SKIPPED 2025-09-09T14:47:33.2341253Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_cpu SKIPPED 2025-09-09T14:47:33.2342296Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2343350Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_relu_cpu SKIPPED 2025-09-09T14:47:33.2344442Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_add_relu_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2345470Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_cpu SKIPPED 2025-09-09T14:47:33.2346781Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_dequant_promotion_cpu SKIPPED 2025-09-09T14:47:33.2347891Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_hardswish_cpu SKIPPED 2025-09-09T14:47:33.2348995Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_hardswish_int8_mixed_bf16_cpu SKIPPED 2025-09-09T14:47:33.2350088Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_hardtanh_cpu SKIPPED 2025-09-09T14:47:33.2351171Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_hardtanh_int8_mixed_bf16_cpu SKIPPED 2025-09-09T14:47:33.2352278Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2353304Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_relu6_cpu SKIPPED 2025-09-09T14:47:33.2354301Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_relu_cpu SKIPPED 2025-09-09T14:47:33.2355358Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_relu_int8_mixed_bf16_xpu SKIPPED 2025-09-09T14:47:33.2356401Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_cpu SKIPPED 2025-09-09T14:47:33.2357458Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_silu_int8_mixed_bf16_cpu SKIPPED 2025-09-09T14:47:33.2358545Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qconv2d_with_concat_cpu SKIPPED 2025-09-09T14:47:33.2359522Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qflatten SKIPPED 2025-09-09T14:47:33.2360672Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2362006Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_False_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2363337Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2364648Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_False_is_qat_True_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2365967Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_False_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2367453Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_False_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2368861Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_True_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2370168Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_cpu_use_relu_True_is_qat_True_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2371533Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2372956Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_False_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2374371Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2375796Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_False_is_qat_True_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2377210Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2378617Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_False_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2380019Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_True_is_dynamic_False SKIPPED 2025-09-09T14:47:33.2718955Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_add_int8_mixed_bf16_use_relu_True_is_qat_True_is_dynamic_True SKIPPED 2025-09-09T14:47:33.2720217Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_cpu SKIPPED 2025-09-09T14:47:33.2721247Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_dequant_promotion_cpu SKIPPED 2025-09-09T14:47:33.2722457Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_dequant_promotion_cpu_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2723736Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_dequant_promotion_dynamic_cpu SKIPPED 2025-09-09T14:47:33.2724923Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2726225Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_dequant_promotion_int8_mixed_bf16_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2727403Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_gelu_cpu SKIPPED 2025-09-09T14:47:33.2728448Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_gelu_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2729536Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2730696Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_input_dim_exceeds_2_and_not_contiguous SKIPPED 2025-09-09T14:47:33.2731841Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2732979Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2734269Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_int8_mixed_bf16_input_dim_exceeds_2_and_not_contiguous SKIPPED 2025-09-09T14:47:33.2735680Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_mul_cpu SKIPPED 2025-09-09T14:47:33.2736659Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_relu_cpu SKIPPED 2025-09-09T14:47:33.2737729Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_relu_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2738841Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_relu_int8_mixed_bf16 SKIPPED 2025-09-09T14:47:33.2740012Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qlinear_relu_int8_mixed_bf16_input_dim_exceeds_2 SKIPPED 2025-09-09T14:47:33.2741096Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_qmaxpool2d SKIPPED 2025-09-09T14:47:33.2742355Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_False SKIPPED 2025-09-09T14:47:33.2743896Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_False_dynamic_True SKIPPED 2025-09-09T14:47:33.2745430Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_False SKIPPED 2025-09-09T14:47:33.2747205Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_bfloat16_per_channel_quant_True_dynamic_True SKIPPED 2025-09-09T14:47:33.2748734Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_False_dynamic_False SKIPPED 2025-09-09T14:47:33.2750259Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_False_dynamic_True SKIPPED 2025-09-09T14:47:33.2751780Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_False SKIPPED 2025-09-09T14:47:33.2753300Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_False_float32_per_channel_quant_True_dynamic_True SKIPPED 2025-09-09T14:47:33.2754825Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_False SKIPPED 2025-09-09T14:47:33.2756347Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_False_dynamic_True SKIPPED 2025-09-09T14:47:33.2757880Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_dynamic_False SKIPPED 2025-09-09T14:47:33.2759404Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_bfloat16_per_channel_quant_True_dynamic_True SKIPPED 2025-09-09T14:47:33.2760914Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_False SKIPPED 2025-09-09T14:47:33.2762426Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_False_dynamic_True SKIPPED 2025-09-09T14:47:33.2763941Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_True_dynamic_False SKIPPED 2025-09-09T14:47:33.2765581Z test/quantization/pt2e/test_x86inductor_fusion.py::TestPatternMatcher::test_smooth_quant_with_int_mm_has_bias_True_float32_per_channel_quant_True_dynamic_True SKIPPED 2025-09-09T14:47:33.2766958Z test/quantization/pt2e/test_x86inductor_fusion.py::TestDynamicPatternMatcher::test_q_attention_block SKIPPED 2025-09-09T14:47:33.2768031Z test/quantization/pt2e/test_x86inductor_fusion.py::TestDynamicPatternMatcher::test_qat_bn_conv2d SKIPPED 2025-09-09T14:47:33.2769181Z test/quantization/pt2e/test_x86inductor_fusion.py::TestDynamicPatternMatcher::test_qconv2d_maxpool2d_linear_dynamic_cpu SKIPPED 2025-09-09T14:47:33.2770416Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe SKIPPED 2025-09-09T14:47:33.2771591Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_annotate_mul_tensor SKIPPED 2025-09-09T14:47:33.2772726Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_attention_block SKIPPED 2025-09-09T14:47:33.2773868Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe SKIPPED 2025-09-09T14:47:33.2774960Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_cat_recipe SKIPPED 2025-09-09T14:47:33.2776086Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs SKIPPED 2025-09-09T14:47:33.2777260Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input SKIPPED 2025-09-09T14:47:33.2778361Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d SKIPPED 2025-09-09T14:47:33.2779423Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d_binary SKIPPED 2025-09-09T14:47:33.2780516Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2 SKIPPED 2025-09-09T14:47:33.2781665Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary SKIPPED 2025-09-09T14:47:33.2782853Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary SKIPPED 2025-09-09T14:47:33.2784051Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_conv2d_unary SKIPPED 2025-09-09T14:47:33.2785174Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear SKIPPED 2025-09-09T14:47:33.2786329Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe SKIPPED 2025-09-09T14:47:33.2787552Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe SKIPPED 2025-09-09T14:47:33.2788738Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe SKIPPED 2025-09-09T14:47:33.2789889Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_flatten_recipe SKIPPED 2025-09-09T14:47:33.2790999Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2 SKIPPED 2025-09-09T14:47:33.3099355Z test/quantization/pt2e/test_x86inductor_quantizer.py::TestQuantizePT2EX86Inductor::test_linear SKIPPED 2025-09-09T14:47:33.3100450Z 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test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_AUTO_sizes0 SKIPPED 2025-09-09T14:47:33.3651371Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_AUTO_sizes1 SKIPPED 2025-09-09T14:47:33.3653361Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_FBGEMM_sizes0 SKIPPED 2025-09-09T14:47:33.3655375Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_FBGEMM_sizes1 SKIPPED 2025-09-09T14:47:33.3657382Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_TORCH_sizes0 SKIPPED 2025-09-09T14:47:33.3659381Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_kernel_preference_KernelPreference_TORCH_sizes1 SKIPPED 2025-09-09T14:47:33.3661368Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_kernel_preference_KernelPreference_AUTO_sizes0 SKIPPED 2025-09-09T14:47:33.3663417Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_kernel_preference_KernelPreference_AUTO_sizes1 SKIPPED 2025-09-09T14:47:33.3665411Z 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test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_kernel_preference_KernelPreference_AUTO_sizes0 SKIPPED 2025-09-09T14:47:33.3675603Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_kernel_preference_KernelPreference_AUTO_sizes1 SKIPPED 2025-09-09T14:47:33.3677659Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_kernel_preference_KernelPreference_FBGEMM_sizes0 SKIPPED 2025-09-09T14:47:33.3679917Z test/quantization/quantize_/workflows/float8/test_float8_tensor.py::TestFloat8Tensor::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_kernel_preference_KernelPreference_FBGEMM_sizes1 SKIPPED 2025-09-09T14:47:33.3681975Z 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test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes0_float16_group_size_32 SKIPPED 2025-09-09T14:47:52.1563305Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes0_float16_group_size_64 SKIPPED 2025-09-09T14:47:52.1564698Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_bfloat16_group_size_128 SKIPPED 2025-09-09T14:47:52.1566085Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_bfloat16_group_size_32 SKIPPED 2025-09-09T14:47:52.1567474Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_bfloat16_group_size_64 SKIPPED 2025-09-09T14:47:52.1569023Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_float16_group_size_128 SKIPPED 2025-09-09T14:47:52.1570510Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_float16_group_size_32 SKIPPED 2025-09-09T14:47:52.1571908Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes1_float16_group_size_64 SKIPPED 2025-09-09T14:47:52.1573311Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes2_bfloat16_group_size_128 SKIPPED 2025-09-09T14:47:52.1574696Z test/quantization/quantize_/workflows/int4/test_int4_plain_int32_tensor.py::Int4PlainInt32Tensor::test_linear_sizes2_bfloat16_group_size_32 SKIPPED 2025-09-09T14:47:52.1576091Z 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test/quantization/quantize_/workflows/int4/test_int4_preshuffled_tensor.py::TestInt4PreshuffledTensor::test_to_device_config0 SKIPPED 2025-09-09T14:47:52.1593342Z test/quantization/quantize_/workflows/int4/test_int4_preshuffled_tensor.py::TestInt4PreshuffledTensor::test_to_device_config1 SKIPPED 2025-09-09T14:47:52.1594562Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_activation_prescaling SKIPPED 2025-09-09T14:47:52.1595590Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_bmm SKIPPED 2025-09-09T14:47:52.1596577Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_cat_sizes0 SKIPPED 2025-09-09T14:47:52.1597579Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_cat_sizes1 SKIPPED 2025-09-09T14:47:52.1598572Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_cat_sizes2 SKIPPED 2025-09-09T14:47:52.1599656Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_linear SKIPPED 2025-09-09T14:47:52.1600777Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_moe_weight_reshape_ops SKIPPED 2025-09-09T14:47:52.1601822Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_slice SKIPPED 2025-09-09T14:47:52.1602908Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_slice_and_copy_similar_to_vllm SKIPPED 2025-09-09T14:47:52.1604064Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_slice_preserves_aliasing SKIPPED 2025-09-09T14:47:52.1605161Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_to_device_sizes0 SKIPPED 2025-09-09T14:47:52.1606211Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_to_device_sizes1 SKIPPED 2025-09-09T14:47:52.1607277Z test/quantization/quantize_/workflows/int4/test_int4_tensor.py::TestInt4Tensor::test_to_device_sizes2 SKIPPED 2025-09-09T14:47:52.1608581Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_cant_initialize_in_cpu SKIPPED 2025-09-09T14:47:52.1610049Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_different_group_sizes_group_size_128 SKIPPED 2025-09-09T14:47:52.1611582Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_different_group_sizes_group_size_32 SKIPPED 2025-09-09T14:47:52.1769889Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_different_group_sizes_group_size_64 SKIPPED 2025-09-09T14:47:52.1772992Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_error_conditions SKIPPED 2025-09-09T14:47:52.1775790Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes0_config0 SKIPPED 2025-09-09T14:47:52.1778283Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes0_config1 SKIPPED 2025-09-09T14:47:52.1779673Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes1_config0 SKIPPED 2025-09-09T14:47:52.1781073Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes1_config1 SKIPPED 2025-09-09T14:47:52.1782461Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes2_config0 SKIPPED 2025-09-09T14:47:52.1783871Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_linear_sizes2_config1 SKIPPED 2025-09-09T14:47:52.1785318Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_mm_int4wo_device_cuda_bfloat16 SKIPPED 2025-09-09T14:47:52.1786734Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_module_path_config0 SKIPPED 2025-09-09T14:47:52.1788209Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_module_path_config1 SKIPPED 2025-09-09T14:47:52.1789680Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_and_copy_similar_to_vllm_config0 SKIPPED 2025-09-09T14:47:52.1791208Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_and_copy_similar_to_vllm_config1 SKIPPED 2025-09-09T14:47:52.1793082Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_config0 SKIPPED 2025-09-09T14:47:52.1794440Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_config1 SKIPPED 2025-09-09T14:47:52.1804796Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_preserves_aliasing_config0 SKIPPED 2025-09-09T14:47:52.1806303Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_slice_preserves_aliasing_config1 SKIPPED 2025-09-09T14:47:52.1807696Z test/quantization/quantize_/workflows/int4/test_int4_tile_packed_to_4d_tensor.py::TestInt4TilePackedTo4dTensor::test_to_device SKIPPED 2025-09-09T14:47:52.1809978Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1813103Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1816214Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1819382Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1822487Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1825610Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1828824Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1831927Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1835269Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1838482Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1841627Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1844716Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1847995Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1851152Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1924375Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1927642Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1930804Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1933898Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1938746Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1941886Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1945063Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1948503Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1951651Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1954783Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1957877Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1960990Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1964129Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1967359Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1970801Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1973923Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1977032Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1980143Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1983292Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.1986527Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.1989774Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2078445Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2081586Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2084668Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2087959Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2091370Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2094510Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2097621Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2100775Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2103860Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2107012Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2110305Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2113467Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2116594Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2119926Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2123294Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2126468Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2129646Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2132758Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2135876Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2139042Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2142168Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2229287Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2232439Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2235739Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2239115Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2242286Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2245432Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2248744Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2251882Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2255058Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2258313Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2261480Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2264598Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2267887Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2271121Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2274286Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2277515Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2280734Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2283853Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2286978Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2290093Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2293271Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2386125Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2390336Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2393723Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2396832Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2399997Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2403157Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2406380Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2409546Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2412658Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2415761Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2418862Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2422023Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2425409Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2428727Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2431846Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2434949Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2438056Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2441282Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2444524Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2447939Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2451117Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2538658Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2542072Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2545233Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2548701Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2551870Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2555028Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2558310Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2561605Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2564833Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2568010Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2571212Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2574626Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2577900Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2581206Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2584427Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2587666Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2590860Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2594014Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2597231Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2600515Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2603721Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2692252Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2698505Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2701686Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2704903Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2708280Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2711496Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2714661Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2717821Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2720981Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2724206Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2727678Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2730965Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2734165Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2737316Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2740472Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2743685Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2747165Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2750390Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2753587Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2756863Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2760129Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2840609Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2843938Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.bfloat16, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2847405Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2850707Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2853781Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2856846Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2859918Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2862996Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2866056Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2869569Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2872703Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2875916Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2879042Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2882121Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2885190Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2888283Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2891414Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2894608Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2897734Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2900987Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2904064Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2989756Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2992893Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.2996095Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.2999288Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3002360Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3005435Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3008556Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3011675Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3015127Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3018261Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3021333Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3024413Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3027566Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3030780Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3033973Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3037088Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3040232Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3043298Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3046659Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3049920Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3053106Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3139143Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3142242Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3145319Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3148716Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3151852Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3155070Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_auto', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3158262Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3161513Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3164826Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3168060Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_kleidiai', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3171223Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3174336Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3177432Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3180529Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3183638Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3186766Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3189977Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3193179Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3196407Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3199648Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3202818Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3284860Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3287975Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3291080Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3294244Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3297461Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3300634Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3303752Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3307084Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3310325Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3313472Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3316687Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3319890Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3322995Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3326090Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3329176Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3332332Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3335552Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3338939Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3342051Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3345158Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3348479Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3435049Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3438298Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3441452Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3444553Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3447811Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3450903Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3454356Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3457576Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3460733Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3463842Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3466951Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3470143Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3473291Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3476499Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': 'torchao_lowbit', 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3479729Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3482899Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3486218Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3489409Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3492552Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3495728Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3498922Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3588666Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3591906Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3595194Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3598401Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3601580Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3604978Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3608126Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3611337Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3614626Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3617827Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3620989Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3624128Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3627328Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3630532Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3633818Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3637189Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3640349Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3643497Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3646807Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3650019Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3653306Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3766399Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3769596Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3772750Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3775909Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3779389Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3782847Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3786053Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3789281Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3792415Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3795562Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3798770Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3802044Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3805249Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3808394Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3812639Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3815805Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3819018Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:47:52.3822297Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_accuracy_{'model_dtype': torch.float32, 'packing_format': , 'compute_target': None, 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:47:52.3824489Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_export_compile_aoti SKIPPED 2025-09-09T14:47:52.3825707Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_moe_quant_intx SKIPPED 2025-09-09T14:47:52.3827348Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_serialization_{'packing_format': , 'compute_target': 'aten'} SKIPPED 2025-09-09T14:47:52.3829269Z test/quantization/quantize_/workflows/intx/test_intx_opaque_tensor.py::TestIntxOpaqueTensor::test_serialization_{'packing_format': , 'compute_target': 'torchao_auto'} SKIPPED 2025-09-09T14:47:52.3830878Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_embedding SKIPPED 2025-09-09T14:47:52.3832326Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_export_int8_dyn_act_intx_weight_config SKIPPED 2025-09-09T14:47:52.3833924Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_export_int8_dyn_act_intx_weight_config_with_unwrap SKIPPED 2025-09-09T14:47:52.3925070Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_export_intx_weight_only_config SKIPPED 2025-09-09T14:47:52.3927432Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3930478Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3933744Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3936774Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3939805Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3942829Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3945853Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3949128Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3952150Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3955175Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3958212Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3961277Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3964420Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3967574Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3970587Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3973615Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3976624Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3979684Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.3982711Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.3985737Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.3988838Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4082968Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4086130Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4089241Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4092254Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4095277Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4098292Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4101317Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4104370Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4107473Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4110562Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4113594Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4116614Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4119805Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4130243Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4133289Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4136321Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4139398Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4142421Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4145437Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4148677Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4151694Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4154709Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4241698Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4244730Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4247926Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4251005Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4254024Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4257048Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4260056Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4263077Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4266103Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4269255Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4272382Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4275517Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4278585Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4281663Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4284700Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4287734Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4290757Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4293780Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4296816Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4299890Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4302992Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4306100Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4399499Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4402552Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4405569Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4408574Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4411595Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4414611Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4417616Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4420647Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4423662Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4426956Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4430096Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4433115Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4436130Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4439189Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4442215Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4445225Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4448528Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4451563Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4454582Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4457843Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4460911Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4463923Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4559584Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4562614Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4565641Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4568724Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4571747Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4574774Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4577790Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4581093Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4584218Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4587283Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4590306Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4593304Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4596315Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4599345Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4602360Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4605381Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4608387Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4611386Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4614555Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4617566Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4620566Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4623590Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4719009Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4722073Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4725100Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4728123Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4731131Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4734153Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4737446Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4740522Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4743548Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4746704Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4749823Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4752847Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4755856Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4758868Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4761880Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4764886Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4768136Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4771208Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4774240Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4777267Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4780289Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4783317Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4875080Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4878502Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4881911Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4885311Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4888926Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4892068Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4895099Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4898132Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4901156Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4904178Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4907280Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4910308Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4913330Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4916359Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4919428Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4922676Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4925702Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4928716Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4931737Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.4934751Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.4937768Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.4940769Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5032397Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5035469Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5038555Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5041862Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5044899Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5048135Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5051219Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5054241Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5057273Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5060361Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5063407Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5066466Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5069573Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5072727Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5075862Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5078949Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5082001Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5085030Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5088075Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5091167Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5094206Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5097254Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5186811Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5192085Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5198005Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5201030Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5204055Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5207094Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5210188Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5213236Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5216256Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5219289Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5222308Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5225336Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5228603Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5231635Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5234679Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5237748Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5240836Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5243884Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5247132Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5250221Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5253267Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5256298Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5348890Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5352138Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5355191Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5358225Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5361263Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5364304Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5367333Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5370360Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5373397Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5376427Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5379592Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5382737Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5385763Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5388872Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5391904Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5394935Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5397977Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5401008Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5404042Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_intx_unpacked_v2_is_close_to_qdq_v1_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5406135Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_linear SKIPPED 2025-09-09T14:47:52.5408190Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5410953Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5413705Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5523600Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5526299Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5528972Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5531640Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5534320Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5536989Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5539677Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5542366Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5545039Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5547912Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5550861Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5553524Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5556197Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5558884Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5561537Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5564201Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5566877Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5569606Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5572272Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5574943Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5577608Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5580337Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5583167Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5585829Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5588598Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5698733Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5701432Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5704116Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5706787Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5709527Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5712203Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5714877Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5717538Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5720350Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5723132Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5725794Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5728461Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5731126Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5733792Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5736451Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5739110Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5741772Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5744450Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5747375Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5750052Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5753572Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5756248Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5758917Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5761602Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5764272Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5875734Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5879722Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5882392Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5885047Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5887746Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5890419Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5893066Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5895985Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5898649Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5901292Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5903971Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5906619Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5909356Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5912024Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5914684Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5917328Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5919981Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5922622Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5925357Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5928148Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5930799Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5933453Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.5936121Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.5938827Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.5941470Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6051896Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6054559Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6057200Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6059908Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6062578Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6065496Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6068354Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6071347Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6074359Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6077353Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6080345Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6083346Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6086335Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6089379Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6092375Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6095363Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6098346Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6101158Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6103817Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6106466Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6109176Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6111819Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6114466Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6117135Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6119824Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6225380Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6228110Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6230766Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6233405Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6236366Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6239080Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6241753Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6244416Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6247287Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6249948Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6252595Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6255243Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6257893Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6260546Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6263194Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6265972Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6268821Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6271463Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6274111Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6276752Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6279391Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6282045Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6284680Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6287328Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6289982Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6399063Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6401721Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6404601Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6407251Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6409950Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6412609Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6415238Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6417884Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6420598Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6423252Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6425904Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6428645Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6431290Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6433938Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6436780Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6439480Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6442140Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6444802Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6447661Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6450375Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6453018Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6455647Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6458301Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6460944Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6463569Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6575392Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6578195Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6580862Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6583549Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6586208Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6588971Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6591637Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6594319Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6596979Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6599664Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6602351Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6605034Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6607865Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6610551Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6613226Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6615914Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6618582Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6621247Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6631830Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6634503Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6637151Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6639799Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6642430Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6645057Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6648264Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6751341Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6754023Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6756696Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6759412Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6762073Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6764739Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6767387Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6770092Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6772767Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6775431Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6778223Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6780997Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6783665Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6786334Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6789093Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6791755Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6794412Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6797076Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6799723Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6802378Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6805074Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6807747Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.6810595Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.6813266Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.6815912Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.7044848Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.7047703Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.7050353Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.7053008Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.7055669Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.7058340Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.7061005Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.7063665Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.7066318Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.7069327Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.7071981Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:47:52.7074624Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:47:52.7077282Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_qat_int8_dyn_act_intx_weight_config_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:47:52.7079385Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_serialization_int8_dyn_act_intx_weight_config SKIPPED 2025-09-09T14:47:52.7080982Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_serialization_intx_weight_only_config SKIPPED 2025-09-09T14:47:52.7082390Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_slice SKIPPED 2025-09-09T14:47:52.7083715Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_slice_and_copy_ SKIPPED 2025-09-09T14:47:52.7085181Z test/quantization/quantize_/workflows/intx/test_intx_unpacked_to_int8_tensor.py::TestIntxUnpackedToInt8Tensor::test_to_dtype SKIPPED 2025-09-09T14:47:52.7086428Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_concat_linear_cpu_x_dim_2_bias_False SKIPPED 2025-09-09T14:47:52.7087507Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_concat_linear_cpu_x_dim_2_bias_True SKIPPED 2025-09-09T14:47:52.7088631Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_concat_linear_cpu_x_dim_3_bias_False SKIPPED 2025-09-09T14:47:52.7089702Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_concat_linear_cpu_x_dim_3_bias_True SKIPPED 2025-09-09T14:47:52.7090864Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7092114Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7093339Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7094562Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7095783Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7097003Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7098219Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7099577Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_2_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7100878Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7102110Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7103328Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7104540Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7105764Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7106992Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7108260Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7109471Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_bfloat16_x_dim_3_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7110685Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7111898Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:47:52.7113107Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:47:52.7114315Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6753723Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6754871Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6755967Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6757049Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_2_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6758144Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6759248Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6760357Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6761446Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6762547Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6763637Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6764728Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6765812Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float16_x_dim_3_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6767151Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6768406Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6769503Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6770589Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6771675Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6772761Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6773848Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6774940Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_2_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6776022Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_False_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6777123Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_False_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6778205Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_False_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6779288Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_False_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6780371Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_True_bs_160_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6781456Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_True_bs_160_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6782549Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_True_bs_1_sym_quant_a_False SKIPPED 2025-09-09T14:48:21.6783617Z test/quantization/test_da8w4_cpu.py::TestDa8w4Cpu::test_8da4w_cpu_float32_x_dim_3_bias_True_bs_1_sym_quant_a_True SKIPPED 2025-09-09T14:48:21.6784572Z test/quantization/test_gptq.py::TestGPTQ::test_gptq_quantizer_int4_weight_only SKIPPED 2025-09-09T14:48:21.6785425Z test/quantization/test_gptq.py::TestMultiTensorFlow::test_multitensor_add_tensors PASSED 2025-09-09T14:48:21.6786318Z test/quantization/test_gptq.py::TestMultiTensorFlow::test_multitensor_inplace_operation PASSED 2025-09-09T14:48:21.6787303Z test/quantization/test_gptq.py::TestMultiTensorFlow::test_multitensor_pad_unpad PASSED 2025-09-09T14:48:21.6788210Z test/quantization/test_gptq.py::TestMultiTensorInputRecorder::test_gptq_with_input_recorder layers.0.attention.wqkv.weight 2025-09-09T14:48:21.6788885Z layers.0.attention.wo.weight 2025-09-09T14:48:21.6789172Z layers.0.feed_forward.w1.weight 2025-09-09T14:48:21.6789446Z layers.0.feed_forward.w3.weight 2025-09-09T14:48:21.6789720Z layers.0.feed_forward.w2.weight 2025-09-09T14:48:21.6789994Z layers.1.attention.wqkv.weight 2025-09-09T14:48:21.6790274Z layers.1.attention.wo.weight 2025-09-09T14:48:21.6790539Z layers.1.feed_forward.w1.weight 2025-09-09T14:48:21.6790810Z layers.1.feed_forward.w3.weight 2025-09-09T14:48:21.6791078Z layers.1.feed_forward.w2.weight 2025-09-09T14:48:21.6791332Z output.weight 2025-09-09T14:48:21.6791573Z PASSED 2025-09-09T14:48:21.6792186Z test/quantization/test_gptq.py::TestMultiTensorInputRecorder::test_multitensor_input_recorder PASSED 2025-09-09T14:48:21.6793377Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_aten SKIPPED 2025-09-09T14:48:21.6794896Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_kleidiai SKIPPED 2025-09-09T14:48:21.6797532Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6801183Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6804822Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6808438Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6812138Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6815876Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6819565Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6883701Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6887416Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6891348Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6895058Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6898881Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6902566Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6906269Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6909969Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6913605Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6917360Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6921124Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6925022Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6928703Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6932356Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6936030Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6939743Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6943529Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.6947681Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.6951333Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7011647Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7017820Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7021488Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7025241Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7029059Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7032720Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7036377Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7040029Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7043721Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7047715Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7051668Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7055326Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7058965Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7062586Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7066343Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7070159Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7073847Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7077546Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7081184Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7139747Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7146767Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7150615Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7154333Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7158050Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7161755Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7165431Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7169198Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7173022Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int1, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7177121Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7180848Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7184539Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7188290Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7192051Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7195854Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int2, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7199667Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7203362Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7207056Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7210909Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7265329Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7269268Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int3, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7272999Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7276722Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7280396Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7284063Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7287830Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7291600Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int4, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7295615Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7299316Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7303018Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7306691Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7310866Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7314721Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int5, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7318484Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7322375Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7326070Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7329939Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7333688Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7418037Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int6, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7422327Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7426544Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7430822Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7435014Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7439341Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7443693Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int7, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7447996Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7451696Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7455403Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7459156Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7462907Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerAxis(axis=0)} SKIPPED 2025-09-09T14:48:21.7466763Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_accuracy_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.UNIVERSAL), 'weight_dtype': torch.int8, 'weight_mapping_type': , 'weight_granularity': PerGroup(group_size=128)} SKIPPED 2025-09-09T14:48:21.7469335Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_export_QDQLayout SKIPPED 2025-09-09T14:48:21.7470999Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_export_compile_aoti_PackedLinearInt8DynamicActivationIntxWeightLayout SKIPPED 2025-09-09T14:48:21.7472926Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_export_dynamic_shape_PackedLinearInt8DynamicActivationIntxWeightLayout SKIPPED 2025-09-09T14:48:21.7475076Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7477406Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7479935Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7482244Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7484550Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7486903Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7489215Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7491516Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7606953Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 128, 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7609284Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7611590Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7613891Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7616243Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7618538Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7620826Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7623129Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7625425Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7628042Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 32, 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7630358Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7632672Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7634979Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7637331Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7639627Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7641913Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7644210Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7646705Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7648991Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynActInt4WeightQATQuantizer_{'group_size': 64, 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7651471Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynamicActivationInt4WeightConfig_{'group_size': 32, 'mapping_type': , 'act_mapping_type': } SKIPPED 2025-09-09T14:48:21.7654101Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_Int8DynamicActivationInt4WeightConfig_{'group_size': 64, 'mapping_type': , 'act_mapping_type': } SKIPPED 2025-09-09T14:48:21.7657154Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7660743Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7664064Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7667410Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7670720Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7674020Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7677379Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7745887Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7752519Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7757652Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7760958Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7765488Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7768856Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7772170Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7775458Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7778809Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7782118Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7785409Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7788826Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7792130Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7795434Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7798895Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7802193Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7805488Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7808829Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7812123Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7815419Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7818767Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7885705Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7889251Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7892529Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7896077Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7899360Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7902644Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7905921Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7909261Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7912561Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7915859Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7919159Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7922445Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7925728Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7929213Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7932506Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7935795Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7939080Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7942359Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.7945653Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.7949191Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.7961953Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8021981Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8025273Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8028876Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8032136Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8035395Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8038662Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8041919Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8045192Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8048737Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8051992Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8055244Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8058496Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8061984Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8065242Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8068632Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8071902Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8075162Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8078484Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8081727Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8084972Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8088278Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8160355Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8163888Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8167182Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8170487Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8173777Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8177064Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8180360Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8183632Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8186971Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8190321Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8193593Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8197120Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8200405Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8203685Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8207015Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8210282Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8213562Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8216889Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8220165Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8223430Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8226709Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8296458Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8299779Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8303064Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8306338Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8309652Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8312930Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8316198Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8319465Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8322740Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8325999Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8329477Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8332745Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8336007Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8339309Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8342559Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8345823Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8349261Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int1, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8352547Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8355869Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8359160Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8362700Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8434656Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8438040Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8441325Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8444606Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8448174Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8451872Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8455589Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8459295Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8462994Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8466656Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8470391Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8474125Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8477841Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8481554Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8485290Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8489063Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8492379Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8495664Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8499099Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8502466Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8505749Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8572535Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8575818Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8579150Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8582442Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8585723Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8589141Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8592411Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8595817Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8599264Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8602531Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8605813Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8609100Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8612403Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8615703Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8619054Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8622339Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8625615Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8629050Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8632413Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8635696Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8638988Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8710065Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8713370Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8716659Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8719934Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8723216Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8726490Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8729933Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8733322Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8736610Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8739917Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8743189Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8746648Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8750005Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8753277Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8756563Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8759835Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8763238Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8766604Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8769851Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8773104Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8776342Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8850055Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8856952Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8860189Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8863435Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8866677Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8870150Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8873544Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8876827Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8880109Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8883366Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8886625Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8889890Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8893157Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8896442Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8899744Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8903093Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8906465Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8909814Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8913077Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8916317Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8919632Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8984142Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8987828Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.8991098Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.8994360Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.8997806Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9001176Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9004427Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9007731Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9010988Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9014234Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9017485Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9020736Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9023998Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9027293Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9030626Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9033949Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9037244Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9040485Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9043720Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9047178Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int2, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9050458Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9121959Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9125267Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9128561Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9131978Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9135369Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9138648Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9141933Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9145203Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9148758Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9152034Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9155316Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9158603Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9161873Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9165252Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9168647Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9171912Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9175180Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9178501Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9181783Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9185050Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9188444Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9259840Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9263120Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9266528Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9269971Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9273229Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9276549Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9279814Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9283078Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9286333Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9289628Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9292882Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9296130Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9299538Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9302780Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9306032Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9309415Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9312682Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9315958Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9319271Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9322526Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9325801Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9395920Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9402713Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9407741Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9411032Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9414325Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9417667Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9420950Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9424216Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9427628Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9430906Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9434181Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9438473Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9441785Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9445085Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9448600Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9451882Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9455171Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9458454Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9461736Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9465003Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9468323Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9536449Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9539893Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9543161Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9546638Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9549965Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9553240Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9556526Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9559809Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9563089Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9566438Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9569981Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9573284Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9576584Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9579924Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9583199Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9586504Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9589871Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9593158Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9596486Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9599785Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9603230Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9670968Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9674248Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9677507Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9680764Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9684016Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9687330Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9690603Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9693860Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9697166Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9700714Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9703971Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9707296Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9710554Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9713797Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9717103Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9720351Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9723594Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9726844Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9730088Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9733487Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9736736Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9808880Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9812137Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int3, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9815406Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9818693Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9821977Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9825264Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9828623Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9831899Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9835450Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9838728Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9842010Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9845300Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9848810Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9852099Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9855369Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9858689Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9861955Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9865220Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9868795Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9872053Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9875327Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9946803Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9950175Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9953459Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9956779Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9960067Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9963359Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9966699Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9970247Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9973535Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9976882Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9980167Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9983443Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9986724Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9990057Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:21.9993338Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:21.9996662Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:21.9999931Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0003383Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0006702Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0010024Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0013331Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0082625Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0085944Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0089252Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0092538Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0095828Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0099173Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0102712Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0106007Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0116907Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0120261Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0123516Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0126829Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0130070Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0133318Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0136585Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0139902Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0143363Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0146827Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0150150Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0153399Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0156652Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0219921Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0223206Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0226480Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0229852Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0233109Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0236699Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0239962Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0243214Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0246706Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0249952Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0253202Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0256472Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0259757Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0263048Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0266393Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0269960Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0273239Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0276521Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0279799Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0283065Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0286357Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0356290Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0359604Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0362867Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0366184Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0369734Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0373005Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0376291Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0379597Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0382870Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0386160Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0389553Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0392833Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0396090Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0399404Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0402854Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0406122Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0409442Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0412706Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0415965Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0419227Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0422482Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0493578Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0496897Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0500139Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0503664Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0506913Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int4, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0510268Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0513565Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0516856Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0520149Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0523435Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0526730Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0530020Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0533389Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0537245Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0540971Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0544713Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0548403Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0551686Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0554973Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0558293Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0561577Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0632167Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0636058Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0639514Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0642802Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0646235Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0649525Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0652810Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0656083Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0659365Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0662651Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0665919Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0669383Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0672767Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0676040Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0679313Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0682584Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0685849Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0689167Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0692422Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0695683Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0699011Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0768051Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0771537Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0774831Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0778171Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0781439Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0784714Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0788043Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0791308Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0794598Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0797926Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0801292Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0804636Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0807962Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0811235Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0814497Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0817828Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0821097Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0824364Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0827762Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0831035Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0834429Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0906555Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0910033Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0913311Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0916580Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0919844Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0923119Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0926373Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0929686Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0932935Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0936331Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0939703Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0942951Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0946364Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0949705Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0952998Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0956296Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0959609Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0962899Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.0966176Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.0969565Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.0972946Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1043556Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1046979Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1050261Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1053543Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1056824Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1060095Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1063361Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1066629Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1070102Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1073513Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1076828Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1080119Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1083401Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1086733Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1090016Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1093277Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1096572Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1099865Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1103905Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1107314Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1110581Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1181209Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1187253Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1190516Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1193770Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1197017Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1200276Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1203517Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1206956Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int5, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1210355Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1213653Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1216953Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1220237Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1223520Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1226808Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1230167Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1233455Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1236783Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1240222Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1243504Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1246943Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1250248Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1314004Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1317358Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1320640Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1323918Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1327203Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1330483Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1334047Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1337387Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1340678Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1343960Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1347447Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1351167Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1354880Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1358641Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1362354Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1366064Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1369621Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1372894Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1376161Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1379422Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1382686Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1447129Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1450401Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1453687Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1457030Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1460312Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1463858Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1467261Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1470543Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1473835Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1477119Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1480397Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1483669Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1486960Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1490234Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1493508Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1496992Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1500253Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1503523Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1506841Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1510146Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1513432Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1585350Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1588695Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1591973Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1595239Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1598849Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1602125Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1605392Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1608710Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1611973Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1615237Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1618545Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1621795Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1625054Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1628409Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1631831Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1635081Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1638380Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1641659Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1644946Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1648447Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1651725Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1722966Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1726257Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1729587Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1733127Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1736397Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1739723Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1743011Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1746487Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1749825Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1753090Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1756345Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1759617Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1762883Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1766382Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1769655Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1772934Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1776265Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1779554Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1782820Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1786077Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1789437Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1859016Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1862291Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1865858Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1869209Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1872485Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1875739Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1879040Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1882292Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1885542Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1888791Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1892030Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int6, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1895306Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1898762Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1902056Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1905349Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1908735Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1912018Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1915310Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1918600Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.1921886Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.1925175Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.1996462Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2000064Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2003352Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2006633Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2009902Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2013178Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2016464Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2019783Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2023073Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2026368Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2029732Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2033202Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2036477Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2039749Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2043029Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2046576Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2049875Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2053153Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2056472Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2059739Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2063001Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2133520Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2136793Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2140065Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2143332Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2146844Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2150198Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2153496Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2156839Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2160119Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2163399Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2166961Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2170244Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2173535Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2176804Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2180080Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2183357Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2186650Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2190008Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2193271Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2196524Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2200014Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2272191Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2275508Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2278837Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2282122Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2285402Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2288725Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2291996Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2295251Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2298708Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2302125Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2305387Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2308759Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2312031Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2315301Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2318632Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2321891Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2325156Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2328419Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2331771Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2335153Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2338534Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2410281Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2422416Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2425690Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2429043Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2432289Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2435543Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2438843Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2442253Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2445639Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2449140Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2452418Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2455682Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2459002Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2462263Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2465524Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2468887Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2472136Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2475538Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2478924Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2482190Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2485472Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2546362Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2549720Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2552992Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2556313Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2559579Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2562846Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2566264Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2569703Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2572965Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2576236Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2579495Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2582762Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2586027Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2589386Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int7, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2592673Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2595986Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2599373Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2602777Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2606072Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2609363Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2612658Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2685161Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2690844Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2697056Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2700354Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2703637Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2707185Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2710605Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2713881Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2717224Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2720499Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2723777Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2727068Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2730354Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2733652Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2736935Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2740300Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2743635Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2747217Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2750516Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2753784Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2757126Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2822925Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2826205Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2829550Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2832810Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2837011Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2840411Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2843679Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2847158Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 128, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2850442Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2853737Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2857029Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2860317Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2863601Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2866923Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2870400Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2873800Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2877129Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2880423Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2883707Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2887030Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2890301Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2960528Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2963833Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2967110Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2970521Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2973906Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2977193Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2980485Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2983759Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2987034Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.2990393Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.2993656Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.2996934Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3000199Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3003543Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3006880Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3010149Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3013424Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3016700Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3019980Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3023232Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3026492Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3098190Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3101892Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 32, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3105744Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3109324Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3112612Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3115907Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3119251Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3122528Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3125805Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3129082Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3132359Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3135642Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3139162Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3142433Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3145706Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3149253Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3152513Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3155783Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:22.3159096Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:22.3162347Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:22.3165624Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0679792Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0683640Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0686930Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0690209Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0693489Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0696763Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0700036Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0703299Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0706575Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0709992Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0713253Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.bfloat16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0716677Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0719990Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0723244Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float16, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0726552Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.bfloat16} SKIPPED 2025-09-09T14:48:59.0729822Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float16} SKIPPED 2025-09-09T14:48:59.0733083Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_identical_to_IntXQuantizationAwareTrainingConfig_{'weight_dtype': torch.int8, 'group_size': 64, 'mapping_type': , 'act_mapping_type': , 'scale_dtype': torch.float32, 'model_dtype': torch.float32} SKIPPED 2025-09-09T14:48:59.0735323Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_moe_quant_intx SKIPPED 2025-09-09T14:48:59.0737480Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_serialization_{'layout': PackedLinearInt8DynamicActivationIntxWeightLayout(group_size=None, bit_width=None, has_weight_zeros=None, has_bias=None, target=Target.AUTO)} SKIPPED 2025-09-09T14:48:59.0739578Z test/quantization/test_int8_dynamic_activation_intx_weight_config_v1.py::TestInt8DynamicActivationIntxWeight::test_serialization_{'layout': QDQLayout()} SKIPPED 2025-09-09T14:48:59.0740816Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8dq_base_0_single_token SKIPPED 2025-09-09T14:48:59.0741777Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8dq_base_1_multiple_tokens SKIPPED 2025-09-09T14:48:59.0742734Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8dq_fake_dim_0_single_token SKIPPED 2025-09-09T14:48:59.0743710Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8dq_fake_dim_1_multiple_tokens SKIPPED 2025-09-09T14:48:59.0744670Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8wo_base_0_single_token SKIPPED 2025-09-09T14:48:59.0745611Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8wo_base_1_multiple_tokens SKIPPED 2025-09-09T14:48:59.0746756Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8wo_fake_dim_0_single_token SKIPPED 2025-09-09T14:48:59.0747952Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_fp8wo_fake_dim_1_multiple_tokens SKIPPED 2025-09-09T14:48:59.0749013Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int4wo_base_0_single_token SKIPPED 2025-09-09T14:48:59.0749964Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int4wo_base_1_multiple_tokens SKIPPED 2025-09-09T14:55:27.7415944Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int4wo_fake_dim_0_single_token PASSED 2025-09-09T14:55:27.7417054Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int4wo_fake_dim_1_multiple_tokens PASSED 2025-09-09T14:55:27.7427969Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8dq_base_0_multiple_tokens PASSED 2025-09-09T14:55:27.7429256Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8dq_fake_dim_0_multiple_tokens PASSED 2025-09-09T14:55:27.7430246Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_base_0_single_token PASSED 2025-09-09T14:55:27.7433038Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_base_1_multiple_tokens E0909 14:52:31.292901 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/24] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/hn/chnmzwxzsjmysqrtml56ogiq2ap4kjfuj2f2szj5t5qz4mfbqyeh.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7437312Z E0909 14:52:40.583082 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/24] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/st/cstugtwzevpibbusngn4g2y2w3otr2ol5yg3myzxnejlm7vkm6gi.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7441179Z E0909 14:52:49.819611 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/24] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/lx/clx5gsk6gxjoadkvxye6cik6lkifafba5y4m77ntnwkjrimanseg.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7445031Z E0909 14:52:59.003973 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/24] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/wm/cwmbbo4xdwrsnzpzzuiti6z72azgk36h4cfb5jec6rluielhew6a.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7449114Z E0909 14:53:08.187878 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/24] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/e3/ce3s7jiawx34ttrhza4snxgtdkycou2axh6vutbwgnqf4r4byg2p.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7453324Z E0909 14:53:34.813832 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/25] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/hj/chjnkqqa747uddizzvvi4keda5prabzpvh2g5e3u6pitl2roghlw.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7457357Z E0909 14:53:44.414741 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/25] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/pi/cpisq3a772nsh6z3grpntsw6z5r3tz3ombunaw6ownwiqfrompc4.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7461220Z E0909 14:53:53.696214 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/25] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/pj/cpjhs7xprwexwe6tvwwx4s6hjumsoefeneximwd6kjagiqy5v7nz.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7465085Z E0909 14:54:03.026633 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/25] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ph/cphgx4blkneva5tesd3wcfqsx24oacmi3n5byp7xqpuryomtoltl.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7469117Z E0909 14:54:12.295738 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/25] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ut/cutqn4av7kifhf62in7nc64fpjwgl6zgpcczwz27vuiqypxpze7p.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7472992Z E0909 14:54:35.842237 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/26] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ni/cnidduq6l7vlqgjuuinmuxsh3h6s5265ilhaaratkqkkyonigc5d.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7476874Z E0909 14:54:46.249873 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/26] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ts/ctst57gwpuwhmo3awvdvpym76zpa3oacn2f32chlxbnjb6zq5dnv.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7480749Z E0909 14:54:55.536369 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/26] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/bw/cbwbmcmgvuv4t7ttiej6tzltxlsrrwyw4ttvyi2saxjrxael5css.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T14:55:27.7484787Z E0909 14:55:17.897043 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/27] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/vp/cvpwwzwvjjnms3xui6lz5zoof3smxdfgygy247lls4rxapgwojid.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2292482Z E0909 14:55:27.738491 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/27] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/ob/cobsgdbtmxey2fol65zxfox3cgg6cilvbxqvvgirqpbjojjw4aqc.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2297078Z E0909 14:55:49.647504 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/28] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/sn/csn4pfoqooqvqo54i5oohiaerujuzgysiwozysvofajyjlrzaq7z.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2301542Z E0909 14:56:00.047467 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/28] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/dj/cdj3gf6i4sobrkz5ni57n3adnmggd4hz35dyrwirmnkgzpf6zbw4.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2306019Z E0909 14:56:20.728690 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/29] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/vl/cvl5bsbtw5fivachhkspzxr2csddfybykxdsqsxv4vj2gqpeifut.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2310608Z E0909 14:56:29.806374 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/29] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/eg/cegzyatko3rcfegytjuwpsvzjnvq4hemutjdpwdmakfd25tryfx2.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2315119Z E0909 14:56:39.023891 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/29] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/nj/cnj37b2nhx75xlrbbgfyejozdmd3getauxyfnequl6z6i4e3t5jb.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2320010Z E0909 14:57:10.783399 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/31] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/zd/czd645g4l7qvztqcojxcypa7yhwikiiefzn5qo7d6xv4qit7hrhk.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2324736Z E0909 14:57:19.997915 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/31] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/qc/cqcxjigfzhrlo7h23luvdnpf2iq6pjm4tkxa7id2nclkesgyiwzo.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2329251Z E0909 14:57:58.764947 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/33] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/cz/cczfa4p4lvdo6dj2lbsfh3blbex6f4zf62akf7zhbwtlgtos44xk.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2333754Z E0909 14:58:18.415393 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/34] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/7z/c7z6wurciwutwtocua2eh6oxbicuvezzbgkxc3cfswy7jkumw7zp.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2336402Z PASSED 2025-09-09T15:02:17.2337148Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_base_cpu_0_single_token PASSED 2025-09-09T15:02:17.2338298Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_base_cpu_1_multiple_tokens PASSED 2025-09-09T15:02:17.2339442Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_fake_dim_0_single_token PASSED 2025-09-09T15:02:17.2342665Z test/quantization/test_moe_quant.py::TestMoEQuantCompile::test_int8wo_fake_dim_1_multiple_tokens E0909 15:00:03.934911 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/55] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/5a/c5ac53jkfn2hqthuho64hgt5nfqppgcsah3zl3uupa24pfa2zj2q.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2347917Z E0909 15:01:05.607719 936 site-packages/torch/_inductor/select_algorithm.py:1477] [10/59] Exception out of resource: shared memory, Required: 163840, Hardware limit: 101376. Reducing block sizes or `num_stages` may help. for benchmark choice TritonTemplateCaller(/tmp/torchinductor_root/lq/clq3satmvyciqdjmndkdzla4aaoaiy5pdfg75dbhkui2kozjot53.py, ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=256, BLOCK_M=16, BLOCK_N=128, B_PROLOGUE_CAST_TYPE='tl.bfloat16', EVEN_K=True, GROUP_M=8, num_stages=5, num_warps=8) 2025-09-09T15:02:17.2350432Z PASSED 2025-09-09T15:02:17.2351076Z test/quantization/test_observer.py::TestQuantFlow::test_block_size_calc_success PASSED 2025-09-09T15:02:17.2352043Z test/quantization/test_observer.py::TestQuantFlow::test_block_size_row_errors PASSED 2025-09-09T15:02:17.2353004Z test/quantization/test_observer.py::TestQuantFlow::test_fixed_qparams_observer PASSED 2025-09-09T15:02:17.2353994Z test/quantization/test_observer.py::TestQuantFlow::test_min_max_per_channel_affine PASSED 2025-09-09T15:02:17.2355152Z test/quantization/test_observer.py::TestQuantFlow::test_min_max_per_tensor_affine PASSED 2025-09-09T15:02:17.2358535Z test/quantization/test_observer.py::TestQuantFlow::test_mse_observer PASSED 2025-09-09T15:02:17.2359667Z test/quantization/test_observer.py::TestLinearObserver::test_linear_observer_tensor_observe_weight_False PASSED 2025-09-09T15:02:17.2360922Z test/quantization/test_observer.py::TestLinearObserver::test_linear_observer_tensor_observe_weight_True PASSED 2025-09-09T15:02:17.2361952Z test/quantization/test_qat.py::TestQAT::test_composable_qat_quantizer PASSED 2025-09-09T15:02:17.2362808Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_dtype PASSED 2025-09-09T15:02:17.2363798Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_dynamic_and_range_learning PASSED 2025-09-09T15:02:17.2364787Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_eps PASSED 2025-09-09T15:02:17.2365684Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_granularity PASSED 2025-09-09T15:02:17.2366967Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_granularity_error_cases PASSED 2025-09-09T15:02:17.2368135Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_mapping_type PASSED 2025-09-09T15:02:17.2369056Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_config_torch_intx PASSED 2025-09-09T15:02:33.6493134Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_per_channel_group PASSED 2025-09-09T15:02:33.6494724Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_per_token PASSED 2025-09-09T15:02:33.6496315Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_per_token_vs_convert_bfloat16 PASSED 2025-09-09T15:02:33.6497542Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_per_token_vs_convert_float16 PASSED 2025-09-09T15:02:33.6498443Z test/quantization/test_qat.py::TestQAT::test_fake_quantize_per_token_vs_convert_float32 PASSED 2025-09-09T15:02:33.6499250Z test/quantization/test_qat.py::TestQAT::test_fake_quantized_embedding_4w PASSED 2025-09-09T15:02:33.6499987Z test/quantization/test_qat.py::TestQAT::test_fake_quantized_linear_4w PASSED 2025-09-09T15:02:33.6500709Z test/quantization/test_qat.py::TestQAT::test_fake_quantized_linear_8da4w PASSED 2025-09-09T15:02:33.6501552Z test/quantization/test_qat.py::TestQAT::test_fake_quantizer_range_learning_is_symmetric_False PASSED 2025-09-09T15:02:33.6502481Z test/quantization/test_qat.py::TestQAT::test_fake_quantizer_range_learning_is_symmetric_True PASSED 2025-09-09T15:02:33.6503274Z test/quantization/test_qat.py::TestQAT::test_fake_quantizer_repr PASSED 2025-09-09T15:02:33.6503970Z test/quantization/test_qat.py::TestQAT::test_fbgemm_fp8_primitives SKIPPED 2025-09-09T15:02:33.6504737Z test/quantization/test_qat.py::TestQAT::test_fbgemm_int4_preshuffled_primitives SKIPPED 2025-09-09T15:02:33.6505518Z test/quantization/test_qat.py::TestQAT::test_float8_fake_quantize_config PASSED 2025-09-09T15:02:33.6506293Z test/quantization/test_qat.py::TestQAT::test_float8_fake_quantize_granularity0 PASSED 2025-09-09T15:02:33.6507155Z test/quantization/test_qat.py::TestQAT::test_float8_fake_quantize_granularity1 PASSED 2025-09-09T15:02:33.6507897Z test/quantization/test_qat.py::TestQAT::test_infer_fp8_int4_config PASSED 2025-09-09T15:02:33.6508620Z test/quantization/test_qat.py::TestQAT::test_infer_int4_weight_only_config PASSED 2025-09-09T15:02:33.6509355Z test/quantization/test_qat.py::TestQAT::test_legacy_quantize_api_e2e PASSED 2025-09-09T15:02:33.6510033Z test/quantization/test_qat.py::TestQAT::test_qat_4w_embedding PASSED 2025-09-09T15:02:33.6510760Z test/quantization/test_qat.py::TestQAT::test_qat_4w_linear tensor(5.9366e-05, device='cuda:0', dtype=torch.bfloat16, 2025-09-09T15:02:33.6511679Z grad_fn=) 2025-09-09T15:02:33.6511969Z PASSED 2025-09-09T15:02:33.6512623Z test/quantization/test_qat.py::TestQAT::test_qat_4w_primitives tensor(0.0005, device='cuda:0', dtype=torch.bfloat16) 2025-09-09T15:02:33.6513226Z PASSED 2025-09-09T15:02:33.6513810Z test/quantization/test_qat.py::TestQAT::test_qat_4w_quantizer tensor(0.0038, device='cuda:0', dtype=torch.bfloat16, grad_fn=) 2025-09-09T15:02:33.6514481Z PASSED 2025-09-09T15:02:33.6514956Z test/quantization/test_qat.py::TestQAT::test_qat_4w_quantizer_gradients PASSED 2025-09-09T15:02:33.6515641Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_eps PASSED 2025-09-09T15:02:33.6516332Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_linear PASSED 2025-09-09T15:02:33.6517082Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_prepare_vs_convert_bfloat16 PASSED 2025-09-09T15:02:33.6517901Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_prepare_vs_convert_float16 PASSED 2025-09-09T15:02:33.6518722Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_prepare_vs_convert_float32 PASSED 2025-09-09T15:02:33.6519462Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_quantizer PASSED 2025-09-09T15:02:33.6520221Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_quantizer_disable_fake_quant PASSED 2025-09-09T15:02:33.6521096Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_quantizer_disable_fake_quant_backward PASSED 2025-09-09T15:02:33.6521921Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_quantizer_gradients PASSED 2025-09-09T15:02:33.6522694Z test/quantization/test_qat.py::TestQAT::test_qat_8da4w_quantizer_meta_weights PASSED 2025-09-09T15:02:33.6523465Z test/quantization/test_qat.py::TestQAT::test_qat_api_convert_no_quantization PASSED 2025-09-09T15:02:33.6524190Z test/quantization/test_qat.py::TestQAT::test_qat_api_deprecation PASSED 2025-09-09T15:02:33.6524861Z test/quantization/test_qat.py::TestQAT::test_qat_config_init PASSED 2025-09-09T15:02:33.6525532Z test/quantization/test_qat.py::TestQAT::test_qat_fp8a4w_quantizer PASSED 2025-09-09T15:02:33.6526242Z test/quantization/test_qat.py::TestQAT::test_qat_linear_bias PASSED 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test/quantization/test_quant_api.py::TestQuantFlow::test_8da4w_quantizer_linear_bias PASSED 2025-09-09T15:02:33.6541366Z test/quantization/test_quant_api.py::TestQuantFlow::test_dynamic_quant_gpu_singleline PASSED 2025-09-09T15:02:33.6542319Z test/quantization/test_quant_api.py::TestQuantFlow::test_dynamic_quant_gpu_unified_api_eager_mode_impl SKIPPED 2025-09-09T15:02:33.6543334Z test/quantization/test_quant_api.py::TestQuantFlow::test_dynamic_quant_gpu_unified_api_unified_impl SKIPPED 2025-09-09T15:02:33.6544195Z test/quantization/test_quant_api.py::TestQuantFlow::test_eval_wrapper SKIPPED 2025-09-09T15:02:33.6544980Z test/quantization/test_quant_api.py::TestQuantFlow::test_eval_wrapper_llama3 SKIPPED 2025-09-09T15:02:33.6545808Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4_wo_quant_save_load SKIPPED 2025-09-09T15:02:33.6548019Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_bfloat16_x_dim_2_use_hqq_False [W909 15:02:33.743883640 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:33.6550834Z [W909 15:02:33.743939231 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:33.6553250Z [W909 15:02:33.743969842 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:33.6555652Z [W909 15:02:33.743980682 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:33.6558054Z [W909 15:02:33.744006952 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:33.6560467Z [W909 15:02:33.744023423 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0361316Z [W909 15:02:33.744047663 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0364099Z [W909 15:02:33.744067453 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0366624Z [W909 15:02:33.744134175 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0369337Z [W909 15:02:33.744153335 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0372142Z [W909 15:02:33.744164685 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0374946Z [W909 15:02:33.744181036 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0377727Z [W909 15:02:33.744197436 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0380585Z [W909 15:02:33.744206996 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0383380Z [W909 15:02:33.744258277 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0386185Z [W909 15:02:33.744279387 PyInterpreter.cpp:259] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2025-09-09T15:02:40.0388027Z PASSED 2025-09-09T15:02:40.0388768Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_bfloat16_x_dim_2_use_hqq_True PASSED 2025-09-09T15:02:40.0389921Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_bfloat16_x_dim_3_use_hqq_False PASSED 2025-09-09T15:02:40.0391050Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_bfloat16_x_dim_3_use_hqq_True PASSED 2025-09-09T15:02:40.0392176Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_float16_x_dim_2_use_hqq_False PASSED 2025-09-09T15:02:40.0393300Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_float16_x_dim_2_use_hqq_True PASSED 2025-09-09T15:02:40.0394425Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_float16_x_dim_3_use_hqq_False PASSED 2025-09-09T15:02:40.0395547Z test/quantization/test_quant_api.py::TestQuantFlow::test_int4wo_cpu_float16_x_dim_3_use_hqq_True PASSED 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test/quantization/test_quant_api.py::TestQuantFlow::test_module_fqn_to_config_default PASSED 2025-09-09T15:02:40.0405423Z test/quantization/test_quant_api.py::TestQuantFlow::test_module_fqn_to_config_embedding_linear PASSED 2025-09-09T15:02:40.0406518Z test/quantization/test_quant_api.py::TestQuantFlow::test_module_fqn_to_config_module_name PASSED 2025-09-09T15:02:40.0407534Z test/quantization/test_quant_api.py::TestQuantFlow::test_module_fqn_to_config_skip PASSED 2025-09-09T15:02:40.0408584Z test/quantization/test_quant_api.py::TestQuantFlow::test_quantized_model_streaming PASSED 2025-09-09T15:02:40.0409677Z test/quantization/test_quant_api.py::TestQuantFlow::test_quantized_tensor_subclass_8da4w_mapping_type0 PASSED 2025-09-09T15:02:40.0410875Z test/quantization/test_quant_api.py::TestQuantFlow::test_quantized_tensor_subclass_8da4w_mapping_type1 PASSED 2025-09-09T15:02:40.0411992Z test/quantization/test_quant_api.py::TestQuantFlow::test_quantized_tensor_subclass_int4 PASSED 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test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config2 PASSED 2025-09-09T15:02:40.0421583Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config3 PASSED 2025-09-09T15:02:40.0422616Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config4 PASSED 2025-09-09T15:02:40.0423634Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config5 PASSED 2025-09-09T15:02:40.0424660Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config6 PASSED 2025-09-09T15:02:40.0425678Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config7 PASSED 2025-09-09T15:02:40.0426712Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config8 PASSED 2025-09-09T15:02:40.0427820Z test/quantization/test_quant_api.py::TestQuantFlow::test_workflow_e2e_numerics_config9 PASSED 2025-09-09T15:02:40.0429057Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_group_sym PASSED 2025-09-09T15:02:40.0430398Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_group_sym_no_clipping_err PASSED 2025-09-09T15:02:40.0431707Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_tensor_asym PASSED 2025-09-09T15:02:40.0432856Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_tensor_asym_eps PASSED 2025-09-09T15:02:40.0433868Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_tensor_sym PASSED 2025-09-09T15:02:40.0434861Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_choose_qparams_token_asym PASSED 2025-09-09T15:02:40.0435840Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_fake_quantize_affine PASSED 2025-09-09T15:04:05.6151873Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_fake_quantize_affine_cachemask PASSED 2025-09-09T15:04:05.6153023Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_get_group_qparams_symmetric PASSED 2025-09-09T15:04:05.6154067Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_get_group_qparams_symmetric_memory PASSED 2025-09-09T15:04:05.6155243Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_get_groupwise_affine_qparams PASSED 2025-09-09T15:04:05.6156606Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_groupwise_affine_dequantize_tensor_from_qparams PASSED 2025-09-09T15:04:05.6158180Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_groupwise_affine_quantize_tensor_from_qparams PASSED 2025-09-09T15:04:05.6159319Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_maybe_expand_scale_to_tensor_shape PASSED 2025-09-09T15:04:05.6160414Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_activation_per_token_abs_max PASSED 2025-09-09T15:04:05.6161547Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_activation_per_token_abs_max_dtype PASSED 2025-09-09T15:04:05.6162723Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_activation_per_token_abs_max_zero_input PASSED 2025-09-09T15:04:05.6163844Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_dequantize_channel_asym PASSED 2025-09-09T15:04:05.6164916Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_dequantize_channel_asym_4d PASSED 2025-09-09T15:04:05.6166097Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_dequantize_channel_asym_4d_multi_dim_reduction PASSED 2025-09-09T15:04:05.6167238Z test/quantization/test_quant_primitives.py::TestQuantPrimitives::test_quantize_dequantize_group_sym PASSED 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test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 11008)-8-64] PASSED 2025-09-09T15:11:24.9691816Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 11008)-8-128] PASSED 2025-09-09T15:11:24.9692844Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 11008)-8-256] PASSED 2025-09-09T15:11:24.9693859Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-2-32] PASSED 2025-09-09T15:11:24.9694877Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-2-64] PASSED 2025-09-09T15:11:24.9695886Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-2-128] PASSED 2025-09-09T15:11:24.9696911Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-2-256] PASSED 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test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-8-128] PASSED 2025-09-09T15:11:24.9705090Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(11008, 4096)-8-256] PASSED 2025-09-09T15:11:24.9706199Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-2-32] PASSED 2025-09-09T15:11:24.9707401Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-2-64] PASSED 2025-09-09T15:11:24.9708422Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-2-128] PASSED 2025-09-09T15:11:24.9709432Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-2-256] PASSED 2025-09-09T15:11:24.9710444Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-4-32] PASSED 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test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(4096, 14336)-8-256] PASSED 2025-09-09T15:11:24.9718581Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-2-32] PASSED 2025-09-09T15:11:24.9719601Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-2-64] PASSED 2025-09-09T15:11:24.9720614Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-2-128] PASSED 2025-09-09T15:11:24.9721633Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-2-256] PASSED 2025-09-09T15:11:24.9722643Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-4-32] PASSED 2025-09-09T15:11:24.9723659Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_correctness_unpack_and_dequant[(14336, 4096)-4-64] PASSED 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test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 4096)-8-64] PASSED 2025-09-09T15:11:29.1124142Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 4096)-8-128] PASSED 2025-09-09T15:11:29.1124919Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 4096)-8-256] PASSED 2025-09-09T15:11:29.1125691Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 11008)-2-32] PASSED 2025-09-09T15:11:29.1126462Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 11008)-2-64] PASSED 2025-09-09T15:11:29.1127235Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 11008)-2-128] PASSED 2025-09-09T15:11:29.1128024Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 11008)-2-256] PASSED 2025-09-09T15:11:29.1128803Z test/test_ops.py::test_dequantize_tensor_core_tiled_layout_op[(4096, 11008)-4-32] PASSED 2025-09-09T15:11:29.1129569Z 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PASSED 2025-09-09T15:11:29.1167427Z test/test_ops.py::test_marlin_24[1-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:29.1168012Z test/test_ops.py::test_marlin_24[1-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:29.1168808Z test/test_ops.py::test_marlin_24[1-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:29.1169511Z test/test_ops.py::test_marlin_24[1-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:29.1170115Z test/test_ops.py::test_marlin_24[1-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:29.1170694Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:29.1171265Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:29.1171828Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:29.1172409Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:29.1173004Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:29.1173588Z test/test_ops.py::test_marlin_24[1-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:29.1174184Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:29.1174758Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:29.1175339Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:29.1175933Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:29.1176535Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:29.1177138Z test/test_ops.py::test_marlin_24[1-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:29.1177710Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(1, 1, 1)] PASSED 2025-09-09T15:11:29.1178290Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(1, 4, 8)] PASSED 2025-09-09T15:11:29.1178887Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(1, 7, 5)] PASSED 2025-09-09T15:11:29.1179520Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(13, 17, 67)] PASSED 2025-09-09T15:11:29.1180135Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(26, 37, 13)] PASSED 2025-09-09T15:11:29.1180745Z test/test_ops.py::test_marlin_24[4-128-512-4--1-(67, 13, 11)] PASSED 2025-09-09T15:11:29.1181350Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(1, 1, 1)] PASSED 2025-09-09T15:11:29.1181921Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1228911Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1229787Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1230500Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1231083Z test/test_ops.py::test_marlin_24[4-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1231660Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1232224Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1232789Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1233374Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1233956Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1234546Z test/test_ops.py::test_marlin_24[4-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1235116Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1235703Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1236280Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1236854Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1237447Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1238236Z test/test_ops.py::test_marlin_24[4-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1238965Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1239545Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1240104Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1240681Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1241265Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1241859Z test/test_ops.py::test_marlin_24[8-128-512-4--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1242434Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1243007Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1243580Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1244165Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1244767Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1245347Z test/test_ops.py::test_marlin_24[8-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1245924Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1246925Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1247490Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1248059Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1248633Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1249217Z test/test_ops.py::test_marlin_24[8-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1249789Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1250367Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1250943Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1251520Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1252108Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1252688Z test/test_ops.py::test_marlin_24[8-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1253267Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1253831Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1254400Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1254980Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1255566Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1256160Z test/test_ops.py::test_marlin_24[16-128-512-4--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1256740Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1257321Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1257889Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1258477Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1259102Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1259721Z test/test_ops.py::test_marlin_24[16-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1260304Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1260871Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1261644Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1263080Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1263685Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1264281Z test/test_ops.py::test_marlin_24[16-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1264870Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1265455Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1266031Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1266626Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1267318Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1267916Z test/test_ops.py::test_marlin_24[16-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1268499Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1269101Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1269702Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1270284Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1270884Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1271487Z test/test_ops.py::test_marlin_24[32-128-512-4--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1272075Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1272669Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1273253Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1273865Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1274474Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1275080Z test/test_ops.py::test_marlin_24[32-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1275669Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1276240Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1276816Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1277398Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1278000Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1278601Z test/test_ops.py::test_marlin_24[32-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1279190Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1279772Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1280354Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1280954Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1281550Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1282160Z test/test_ops.py::test_marlin_24[32-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1282749Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1283321Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1283898Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1284480Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1285172Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1285846Z test/test_ops.py::test_marlin_24[64-128-512-4--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1286432Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1287019Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1287598Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1288191Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1288787Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.1289442Z test/test_ops.py::test_marlin_24[64-128-512-4-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.1290024Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(1, 1, 1)] PASSED 2025-09-09T15:11:32.1290591Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(1, 4, 8)] PASSED 2025-09-09T15:11:32.1291171Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(1, 7, 5)] PASSED 2025-09-09T15:11:32.1291757Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(13, 17, 67)] PASSED 2025-09-09T15:11:32.1292355Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(26, 37, 13)] PASSED 2025-09-09T15:11:32.3529427Z test/test_ops.py::test_marlin_24[64-128-512-8--1-(67, 13, 11)] PASSED 2025-09-09T15:11:32.3530144Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(1, 1, 1)] PASSED 2025-09-09T15:11:32.3530738Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(1, 4, 8)] PASSED 2025-09-09T15:11:32.3531327Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(1, 7, 5)] PASSED 2025-09-09T15:11:32.3531915Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(13, 17, 67)] PASSED 2025-09-09T15:11:32.3532529Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(26, 37, 13)] PASSED 2025-09-09T15:11:32.3533141Z test/test_ops.py::test_marlin_24[64-128-512-8-128-(67, 13, 11)] PASSED 2025-09-09T15:11:32.3533771Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(1, 1, 1)] SKIPPED (...) 2025-09-09T15:11:32.3534393Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(1, 4, 8)] SKIPPED (...) 2025-09-09T15:11:32.3535022Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(1, 7, 5)] SKIPPED (...) 2025-09-09T15:11:32.3535640Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3536236Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3536848Z test/test_ops.py::test_marlin_qqq[1-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3537438Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3538028Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3538616Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3539241Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3539878Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3540480Z test/test_ops.py::test_marlin_qqq[1-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3541074Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3541673Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3542259Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3542859Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3543471Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3544091Z test/test_ops.py::test_marlin_qqq[1-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3556172Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3556967Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3557586Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3558202Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3558822Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3559436Z test/test_ops.py::test_marlin_qqq[1-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3560052Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3560651Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3561237Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3561854Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3562476Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3563104Z test/test_ops.py::test_marlin_qqq[1-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3563709Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3564312Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3564917Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3565524Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3566143Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3566750Z test/test_ops.py::test_marlin_qqq[1-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3567367Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(1, 1, 1)] SKIPPED (...) 2025-09-09T15:11:32.3567985Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(1, 4, 8)] SKIPPED (...) 2025-09-09T15:11:32.3568619Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(1, 7, 5)] SKIPPED (...) 2025-09-09T15:11:32.3569223Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3569830Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3570428Z test/test_ops.py::test_marlin_qqq[4-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3571015Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3571608Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3572183Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3572779Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3573385Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3573984Z test/test_ops.py::test_marlin_qqq[4-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3574578Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3575152Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3575736Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3576318Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3576916Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3577518Z test/test_ops.py::test_marlin_qqq[4-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3578108Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3578701Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3579563Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3580250Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3580854Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3581459Z test/test_ops.py::test_marlin_qqq[4-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3582051Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3582632Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3583215Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3583802Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3584406Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3585015Z test/test_ops.py::test_marlin_qqq[4-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3585617Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3586212Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3586798Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3587467Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3588071Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3588682Z test/test_ops.py::test_marlin_qqq[4-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3589294Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(1, 1, 1)] SKIPPED (...) 2025-09-09T15:11:32.3589912Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(1, 4, 8)] SKIPPED (...) 2025-09-09T15:11:32.3590543Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(1, 7, 5)] SKIPPED (...) 2025-09-09T15:11:32.3591149Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3591755Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3592350Z test/test_ops.py::test_marlin_qqq[8-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3592939Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3593525Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3594101Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3594694Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3595294Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3595909Z test/test_ops.py::test_marlin_qqq[8-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3596514Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3597091Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3597678Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3598269Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3598877Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3599523Z test/test_ops.py::test_marlin_qqq[8-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.3600125Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.3600716Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.3601313Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.3601920Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.3602622Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.3603311Z test/test_ops.py::test_marlin_qqq[8-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4017810Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4019201Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4020099Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4020708Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4021312Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4021926Z test/test_ops.py::test_marlin_qqq[8-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4022518Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4023131Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4023725Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4024339Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4024949Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4025553Z test/test_ops.py::test_marlin_qqq[8-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4026151Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4026732Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4027385Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4027972Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4028601Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4029232Z test/test_ops.py::test_marlin_qqq[16-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4029829Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4030416Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4031007Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4031618Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4032226Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4032830Z test/test_ops.py::test_marlin_qqq[16-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4033437Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4034024Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4034624Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4035221Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4035832Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4036440Z test/test_ops.py::test_marlin_qqq[16-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4037041Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4037645Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4038237Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4038857Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4039531Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4040154Z test/test_ops.py::test_marlin_qqq[16-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4040935Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4041638Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4042242Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4042836Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4043446Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4044058Z test/test_ops.py::test_marlin_qqq[16-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4044663Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4045263Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4045860Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4046742Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4047368Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4047992Z test/test_ops.py::test_marlin_qqq[16-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4048593Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4049180Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4049823Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4050417Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4051034Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4051669Z test/test_ops.py::test_marlin_qqq[32-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4052276Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4052875Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4053479Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4054094Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4054704Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4055328Z test/test_ops.py::test_marlin_qqq[32-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4055938Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4056536Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4057145Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4057749Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4058380Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4059060Z test/test_ops.py::test_marlin_qqq[32-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4059671Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4060289Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4060900Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4061542Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4062174Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4062805Z test/test_ops.py::test_marlin_qqq[32-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4063434Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4064194Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4064805Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4065511Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4066134Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4066755Z test/test_ops.py::test_marlin_qqq[32-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4067414Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4068050Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4068651Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4069306Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4069968Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4070606Z test/test_ops.py::test_marlin_qqq[32-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4071219Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4071802Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4072408Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4072996Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4073613Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4074235Z test/test_ops.py::test_marlin_qqq[64-128-64-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4074843Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4075447Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4076048Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4076667Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4077270Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4077887Z test/test_ops.py::test_marlin_qqq[64-128-64-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4078502Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4079151Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4079748Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4080351Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4080972Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4081598Z test/test_ops.py::test_marlin_qqq[64-128-128-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4082206Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4470143Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4471002Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4471748Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4472383Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4473009Z test/test_ops.py::test_marlin_qqq[64-128-128-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4473622Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4474214Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4474814Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4475580Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4476304Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4476917Z test/test_ops.py::test_marlin_qqq[64-128-256-4--1-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4477522Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(1, 1, 1)] SKIPPED 2025-09-09T15:11:32.4478125Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(1, 4, 8)] SKIPPED 2025-09-09T15:11:32.4478716Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(1, 7, 5)] SKIPPED 2025-09-09T15:11:32.4479330Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(13, 17, 67)] SKIPPED 2025-09-09T15:11:32.4479963Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(26, 37, 13)] SKIPPED 2025-09-09T15:11:32.4480574Z test/test_ops.py::test_marlin_qqq[64-128-256-4-128-(67, 13, 11)] SKIPPED 2025-09-09T15:11:32.4481181Z test/test_ops.py::test_swizzle_mm SKIPPED (ROCm not available) 2025-09-09T15:11:32.4481814Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4482497Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4483173Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4483868Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4484550Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4485227Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4485910Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4486571Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4487261Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4487939Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4488619Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4489363Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-2-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4490041Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4490723Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4491419Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4492119Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4492818Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4493513Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-128-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4494215Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4494902Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4495613Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4496320Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4497025Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4497748Z test/test_ops.py::test_scaled_embedding_bag_cpu[1-1024-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4498435Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4499118Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4499896Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4500662Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4501349Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4502029Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-1-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4502710Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4503371Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4504058Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4504755Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4505436Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4506136Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-2-512-torch.int32] SKIPPED 2025-09-09T15:11:32.4506822Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-128-1-torch.int64] SKIPPED 2025-09-09T15:11:32.4507583Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-128-1-torch.int32] SKIPPED 2025-09-09T15:11:32.4508281Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-128-128-torch.int64] SKIPPED 2025-09-09T15:11:32.4508976Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-128-128-torch.int32] SKIPPED 2025-09-09T15:11:32.4509676Z test/test_ops.py::test_scaled_embedding_bag_cpu[2-128-512-torch.int64] SKIPPED 2025-09-09T15:11:32.4510366Z 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test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype180-Xq_Wq_dtypes180-4-size_mnk180-False] SKIPPED 2025-09-09T15:11:32.7098560Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype181-Xq_Wq_dtypes181-4-size_mnk181-True] SKIPPED 2025-09-09T15:11:32.7099905Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype182-Xq_Wq_dtypes182-4-size_mnk182-False] SKIPPED 2025-09-09T15:11:32.7101242Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype183-Xq_Wq_dtypes183-4-size_mnk183-True] SKIPPED 2025-09-09T15:11:32.7102788Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype184-Xq_Wq_dtypes184-4-size_mnk184-False] SKIPPED 2025-09-09T15:11:32.7104130Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype185-Xq_Wq_dtypes185-4-size_mnk185-True] SKIPPED 2025-09-09T15:11:32.7105466Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype186-Xq_Wq_dtypes186-4-size_mnk186-False] SKIPPED 2025-09-09T15:11:32.7106807Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype187-Xq_Wq_dtypes187-4-size_mnk187-True] SKIPPED 2025-09-09T15:11:32.7108232Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype188-Xq_Wq_dtypes188-4-size_mnk188-False] SKIPPED 2025-09-09T15:11:32.7109633Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype189-Xq_Wq_dtypes189-4-size_mnk189-True] SKIPPED 2025-09-09T15:11:32.7110975Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype190-Xq_Wq_dtypes190-4-size_mnk190-False] SKIPPED 2025-09-09T15:11:32.7112307Z test/test_ops_rowwise_scaled_linear_sparse_cutlass.py::test_rowwise_scaled_linear_sparse_cutlass_f8f8[dtype191-Xq_Wq_dtypes191-4-size_mnk191-True] SKIPPED 2025-09-09T15:11:32.7113296Z test/test_utils.py::TestTorchVersion::test_torch_version_at_least PASSED 2025-09-09T15:11:32.7114000Z test/test_utils.py::TestTorchVersion::test_torch_version_deprecation PASSED 2025-09-09T15:11:32.7114681Z test/test_utils.py::TestTorchAOBaseTensor::test_default_impls PASSED 2025-09-09T15:11:32.7115439Z test/test_utils.py::TestTorchAOBaseTensor::test_default_impls_with_optional_attr PASSED 2025-09-09T15:11:32.7116265Z test/test_utils.py::TestTorchAOBaseTensor::test_default_impls_with_optional_data PASSED 2025-09-09T15:11:32.7117019Z test/test_utils.py::TestTorchAOBaseTensor::test_print_arg_types PASSED 2025-09-09T15:11:32.7117376Z 2025-09-09T15:11:32.7117609Z =============================== warnings summary =============================== 2025-09-09T15:11:32.7118108Z test/core/test_config.py::test_reconstructable_dict_file_round_trip[config8] 2025-09-09T15:11:32.7119362Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/core/config.py:250: UserWarning: Stored version is not the same as current default version of the config: stored_version=2, current_default_version=1, please check the deprecation warning 2025-09-09T15:11:32.7120456Z warnings.warn( 2025-09-09T15:11:32.7120591Z 2025-09-09T15:11:32.7120795Z test/dtypes/test_nf4.py::TestNF4Linear::test_nf4_bnb_linear_float16 2025-09-09T15:11:32.7121346Z test/dtypes/test_nf4.py::TestNF4Linear::test_reconstruction_qlora_vs_bnb_float16 2025-09-09T15:11:32.7122618Z /opt/conda/envs/venv/lib/python3.9/site-packages/bitsandbytes/nn/modules.py:503: UserWarning: Input type into Linear4bit is torch.float16, but bnb_4bit_compute_dtype=torch.float32 (default). This will lead to slow inference or training speed. 2025-09-09T15:11:32.7123719Z warnings.warn( 2025-09-09T15:11:32.7123854Z 2025-09-09T15:11:32.7124041Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_bfloat16 2025-09-09T15:11:32.7124502Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float16 2025-09-09T15:11:32.7124957Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float32 2025-09-09T15:11:32.7126361Z /pytorch/ao/test/dtypes/test_nf4.py:223: FutureWarning: `torch.testing.assert_allclose()` is deprecated since 1.12 and will be removed in a future release. Please use `torch.testing.assert_close()` instead. You can find detailed upgrade instructions in https://github.com/pytorch/pytorch/issues/61844. 2025-09-09T15:11:32.7127882Z torch.testing.assert_allclose(input_tensor, nf4_to_dtype, atol=0.13, rtol=0.13) 2025-09-09T15:11:32.7128246Z 2025-09-09T15:11:32.7128505Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_bfloat16 2025-09-09T15:11:32.7128969Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float16 2025-09-09T15:11:32.7129445Z test/dtypes/test_nf4.py::TestNF4Linear::test_to_copy_float32 2025-09-09T15:11:32.7130823Z /pytorch/ao/test/dtypes/test_nf4.py:229: FutureWarning: `torch.testing.assert_allclose()` is deprecated since 1.12 and will be removed in a future release. Please use `torch.testing.assert_close()` instead. You can find detailed upgrade instructions in https://github.com/pytorch/pytorch/issues/61844. 2025-09-09T15:11:32.7132101Z torch.testing.assert_allclose( 2025-09-09T15:11:32.7132299Z 2025-09-09T15:11:32.7132402Z test/float8/test_base.py: 36 warnings 2025-09-09T15:11:32.7133653Z /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:787.) 2025-09-09T15:11:32.7134943Z autocast_dtype = torch.get_autocast_gpu_dtype() 2025-09-09T15:11:32.7135186Z 2025-09-09T15:11:32.7135411Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype3] 2025-09-09T15:11:32.7135956Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype4] 2025-09-09T15:11:32.7136498Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype5] 2025-09-09T15:11:32.7137037Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype6] 2025-09-09T15:11:32.7137576Z test/float8/test_float8_utils.py::test_non_float32_input[invalid_dtype7] 2025-09-09T15:11:32.7138685Z /pytorch/ao/test/float8/test_float8_utils.py:67: DeprecationWarning: an integer is required (got type float). Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python. 2025-09-09T15:11:32.7139795Z non_float32_tensor = torch.tensor([3.0], dtype=invalid_dtype) 2025-09-09T15:11:32.7140081Z 2025-09-09T15:11:32.7140286Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_0_cuda 2025-09-09T15:11:32.7140785Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_mm_1_cuda 2025-09-09T15:11:32.7142194Z /pytorch/ao/test/kernel/test_autotuner.py:50: FutureWarning: `torch.testing.assert_allclose()` is deprecated since 1.12 and will be removed in a future release. Please use `torch.testing.assert_close()` instead. You can find detailed upgrade instructions in https://github.com/pytorch/pytorch/issues/61844. 2025-09-09T15:11:32.7143539Z torch.testing.assert_allclose(out32_1, out32_2) 2025-09-09T15:11:32.7143777Z 2025-09-09T15:11:32.7144002Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_0_cuda 2025-09-09T15:11:32.7144547Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_1_cpu 2025-09-09T15:11:32.7145090Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_2_cuda 2025-09-09T15:11:32.7145626Z test/kernel/test_autotuner.py::TestQuantFlow::test_int_scaled_mm_3_cpu 2025-09-09T15:11:32.7147376Z /pytorch/ao/test/kernel/test_autotuner.py:96: FutureWarning: `torch.testing.assert_allclose()` is deprecated since 1.12 and will be removed in a future release. Please use `torch.testing.assert_close()` instead. You can find detailed upgrade instructions in https://github.com/pytorch/pytorch/issues/61844. 2025-09-09T15:11:32.7148710Z torch.testing.assert_allclose(out32_1, out32_2) 2025-09-09T15:11:32.7148948Z 2025-09-09T15:11:32.7149294Z test/prototype/test_codebook_quant.py::TestCodebookQuantization::test_choose_qparams_codebook 2025-09-09T15:11:32.7150718Z /opt/conda/envs/venv/lib/python3.9/site-packages/torch/testing/_internal/common_utils.py:906: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /pytorch/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1218.) 2025-09-09T15:11:32.7152028Z return callable(*args, **kwargs) 2025-09-09T15:11:32.7152219Z 2025-09-09T15:11:32.7152560Z test/prototype/test_parametrization.py::TestFakeSparsity::test_jit_trace 2025-09-09T15:11:32.7154273Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/prototype/sparsity/sparsifier/utils.py:134: TracerWarning: Converting a tensor to a Python boolean might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! 2025-09-09T15:11:32.7155828Z assert self.mask.shape == x.shape 2025-09-09T15:11:32.7156031Z 2025-09-09T15:11:32.7156257Z test/prototype/test_scheduler.py::TestScheduler::test_lambda_scheduler 2025-09-09T15:11:32.7156791Z test/prototype/test_scheduler.py::TestCubicScheduler::test_step 2025-09-09T15:11:32.7158171Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/prototype/sparsity/scheduler/base_scheduler.py:133: UserWarning: Detected call of `scheduler.step()` before `sparsifier.step()`. You have to make sure you run the sparsifier.step() BEFORE any calls to the scheduler.step(). 2025-09-09T15:11:32.7159497Z warnings.warn( 2025-09-09T15:11:32.7159630Z 2025-09-09T15:11:32.7159911Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_conv_bn_conv_relu 2025-09-09T15:11:32.7161308Z /pytorch/ao/test/quantization/pt2e/test_graph_utils.py:42: FutureWarning: export(f, *args, **kwargs) is deprecated, use export(f)(*args, **kwargs) instead. If you don't migrate, we may break your export call in the future if your user defined kwargs conflict with future kwargs added to export(f). 2025-09-09T15:11:32.7162610Z m, guards = torchdynamo.export( # noqa: F841© 2025-09-09T15:11:32.7162853Z 2025-09-09T15:11:32.7163113Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_conv_bn_relu 2025-09-09T15:11:32.7164501Z /pytorch/ao/test/quantization/pt2e/test_graph_utils.py:86: FutureWarning: export(f, *args, **kwargs) is deprecated, use export(f)(*args, **kwargs) instead. If you don't migrate, we may break your export call in the future if your user defined kwargs conflict with future kwargs added to export(f). 2025-09-09T15:11:32.7165753Z m, guards = torchdynamo.export( # noqa: F841 2025-09-09T15:11:32.7165982Z 2025-09-09T15:11:32.7166314Z test/quantization/pt2e/test_graph_utils.py::TestGraphUtils::test_customized_equivalet_types_dict 2025-09-09T15:11:32.7167776Z /pytorch/ao/test/quantization/pt2e/test_graph_utils.py:118: FutureWarning: export(f, *args, **kwargs) is deprecated, use export(f)(*args, **kwargs) instead. If you don't migrate, we may break your export call in the future if your user defined kwargs conflict with future kwargs added to export(f). 2025-09-09T15:11:32.7169076Z m, guards = torchdynamo.export( # noqa: F841 2025-09-09T15:11:32.7169305Z 2025-09-09T15:11:32.7169522Z test/quantization/test_qat.py::TestQAT::test_legacy_quantize_api_e2e 2025-09-09T15:11:32.7170783Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/qat/utils.py:84: UserWarning: 'IntXQuantizationAwareTrainingConfig' is deprecated and will be removed in a future release. Please use the following API instead: 2025-09-09T15:11:32.7171892Z 2025-09-09T15:11:32.7172205Z base_config = Int8DynamicActivationInt4WeightConfig(group_size=32) 2025-09-09T15:11:32.7172699Z quantize_(model, QATConfig(base_config, step="prepare")) 2025-09-09T15:11:32.7173056Z # train (not shown) 2025-09-09T15:11:32.7173367Z quantize_(model, QATConfig(base_config, step="convert")) 2025-09-09T15:11:32.7173701Z 2025-09-09T15:11:32.7174001Z Alternatively, if you prefer to pass in fake quantization configs: 2025-09-09T15:11:32.7174375Z 2025-09-09T15:11:32.7174767Z activation_config = IntxFakeQuantizeConfig(torch.int8, "per_token", is_symmetric=False) 2025-09-09T15:11:32.7175378Z weight_config = IntxFakeQuantizeConfig(torch.int4, group_size=32) 2025-09-09T15:11:32.7175871Z qat_config = QATConfig( 2025-09-09T15:11:32.7176151Z activation_config=activation_config, 2025-09-09T15:11:32.7176459Z weight_config=weight_config, 2025-09-09T15:11:32.7176843Z step="prepare", 2025-09-09T15:11:32.7177066Z ) 2025-09-09T15:11:32.7177260Z quantize_(model, qat_config) 2025-09-09T15:11:32.7177506Z 2025-09-09T15:11:32.7177810Z Please see https://github.com/pytorch/ao/issues/2630 for more details. 2025-09-09T15:11:32.7178196Z 2025-09-09T15:11:32.7178387Z warnings.warn( 2025-09-09T15:11:32.7178519Z 2025-09-09T15:11:32.7178742Z test/quantization/test_qat.py::TestQAT::test_legacy_quantize_api_e2e 2025-09-09T15:11:32.7180061Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/qat/utils.py:84: UserWarning: 'FromIntXQuantizationAwareTrainingConfig' is deprecated and will be removed in a future release. Please use the following API instead: 2025-09-09T15:11:32.7181191Z 2025-09-09T15:11:32.7181500Z base_config = Int8DynamicActivationInt4WeightConfig(group_size=32) 2025-09-09T15:11:32.7182004Z quantize_(model, QATConfig(base_config, step="prepare")) 2025-09-09T15:11:32.7182364Z # train (not shown) 2025-09-09T15:11:32.7182672Z quantize_(model, QATConfig(base_config, step="convert")) 2025-09-09T15:11:32.7183013Z 2025-09-09T15:11:32.7183310Z Alternatively, if you prefer to pass in fake quantization configs: 2025-09-09T15:11:32.7183694Z 2025-09-09T15:11:32.7184085Z activation_config = IntxFakeQuantizeConfig(torch.int8, "per_token", is_symmetric=False) 2025-09-09T15:11:32.7184699Z weight_config = IntxFakeQuantizeConfig(torch.int4, group_size=32) 2025-09-09T15:11:32.7185092Z qat_config = QATConfig( 2025-09-09T15:11:32.7185371Z activation_config=activation_config, 2025-09-09T15:11:32.7185682Z weight_config=weight_config, 2025-09-09T15:11:32.7185956Z step="prepare", 2025-09-09T15:11:32.7186174Z ) 2025-09-09T15:11:32.7186366Z quantize_(model, qat_config) 2025-09-09T15:11:32.7186624Z 2025-09-09T15:11:32.7186965Z Please see https://github.com/pytorch/ao/issues/2630 for more details. 2025-09-09T15:11:32.7187354Z 2025-09-09T15:11:32.7187539Z warnings.warn( 2025-09-09T15:11:32.7187675Z 2025-09-09T15:11:32.7187880Z test/quantization/test_qat.py::TestQAT::test_qat_fp8a4w_quantizer 2025-09-09T15:12:02.5003079Z /opt/conda/envs/venv/lib/python3.9/site-packages/torch/autograd/graph.py:823: UserWarning: torchao::dequantize_affine_float8: 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.) 2025-09-09T15:12:02.5006706Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-09T15:12:02.5007156Z 2025-09-09T15:12:02.5007439Z test/sparsity/test_marlin.py::SparseMarlin24::test_quant_sparse_marlin_layout_compile 2025-09-09T15:12:02.5008105Z test/sparsity/test_sparse_api.py::TestQuantSemiSparse::test_sparse_marlin_compile_True 2025-09-09T15:12:02.5011872Z /opt/conda/envs/venv/lib/python3.9/site-packages/torch/autograd/graph.py:823: UserWarning: torchao::marlin_24_gemm: 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.) 2025-09-09T15:12:02.5015507Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-09T15:12:02.5015951Z 2025-09-09T15:12:02.5016289Z test/sparsity/test_sparse_api.py::TestBlockSparseWeight::test_sparse_compile_False_input_shape_1 2025-09-09T15:12:02.5018186Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/sparsity/blocksparse.py:198: UserWarning: Sparse BSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /pytorch/aten/src/ATen/SparseCsrTensorImpl.cpp:53.) 2025-09-09T15:12:02.5019801Z bsr_tensor = dense_tensor.to_sparse_bsr(blocksize) 2025-09-09T15:12:02.5020054Z 2025-09-09T15:12:02.5020391Z test/sparsity/test_sparse_api.py::TestBlockSparseWeight::test_sparse_compile_False_input_shape_1 2025-09-09T15:12:02.5021971Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=2048 K=1024 N=1 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.float16 out_dtype=torch.float16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5023299Z warn_once( 2025-09-09T15:12:02.5023428Z 2025-09-09T15:12:02.5023763Z test/sparsity/test_sparse_api.py::TestBlockSparseWeight::test_sparse_compile_False_input_shape_1 2025-09-09T15:12:02.5025338Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=1024 K=2048 N=1 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.float16 out_dtype=torch.float16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5026648Z warn_once( 2025-09-09T15:12:02.5026778Z 2025-09-09T15:12:02.5027210Z test/sparsity/test_sparse_api.py::TestBlockSparseWeight::test_sparse_compile_False_input_shape_1024 2025-09-09T15:12:02.5028810Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=2048 K=1024 N=1024 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.float16 out_dtype=torch.float16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5030137Z warn_once( 2025-09-09T15:12:02.5030266Z 2025-09-09T15:12:02.5030615Z test/sparsity/test_sparse_api.py::TestBlockSparseWeight::test_sparse_compile_False_input_shape_1024 2025-09-09T15:12:02.5032228Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=1024 K=2048 N=1024 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.float16 out_dtype=torch.float16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5033554Z warn_once( 2025-09-09T15:12:02.5033686Z 2025-09-09T15:12:02.5033979Z test/sparsity/test_sparse_api.py::TestQuantBlockSparseWeight::test_sparse_compile_False 2025-09-09T15:12:02.5035500Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=256 K=128 N=256 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.int8 out_dtype=torch.bfloat16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5036791Z warn_once( 2025-09-09T15:12:02.5036911Z 2025-09-09T15:12:02.5037208Z test/sparsity/test_sparse_api.py::TestQuantBlockSparseWeight::test_sparse_compile_False 2025-09-09T15:12:02.5038807Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/kernel/bsr_triton_ops.py:240: UserWarning: bsr_dense_addmm uses non-optimal triton kernel parameters for M=128 K=256 N=256 Ms=64, Ks=64 beta=0 alpha=1 dtype=torch.int8 out_dtype=torch.bfloat16. To find optimal triton kernel parameters, run with BSR_AUTOTUNE=1 2025-09-09T15:12:02.5040184Z warn_once( 2025-09-09T15:12:02.5040302Z 2025-09-09T15:12:02.5040546Z test/sparsity/test_wanda.py::TestWandaSparsifier::test_one_layer_mlp_2x4 2025-09-09T15:12:02.5041580Z /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/sparsity/wanda.py:46: UserWarning: WandaSparsifier got semi_structured_bock_size=4, sparsity_level fixed to 50% (2:4) sparsity 2025-09-09T15:12:02.5042471Z warnings.warn( 2025-09-09T15:12:02.5042605Z 2025-09-09T15:12:02.5042831Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T15:12:02.5043794Z ========= 1504 passed, 3995 skipped, 76 warnings in 3144.51s (0:52:24) ========= 2025-09-09T15:12:02.5103671Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1 2025-09-09T15:12:02.5104151Z with: 2025-09-09T15:12:02.5104435Z path: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:02.5104810Z fail-on-empty: false 2025-09-09T15:12:02.5105031Z env: 2025-09-09T15:12:02.5105270Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:02.5105614Z REPOSITORY: pytorch/ao 2025-09-09T15:12:02.5105848Z PR_NUMBER: 2963 2025-09-09T15:12:02.5108124Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:02.5110281Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:02.5110841Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:02.5111364Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:02.5111801Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:02.5112132Z ##[endgroup] 2025-09-09T15:12:02.5710682Z Prepare all required actions 2025-09-09T15:12:02.5763273Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-09-09T15:12:02.5763608Z with: 2025-09-09T15:12:02.5763876Z directory: /home/ec2-user/actions-runner/_work/ao/ao/ 2025-09-09T15:12:02.5764339Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T15:12:02.5764746Z env: 2025-09-09T15:12:02.5764989Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:02.5765341Z REPOSITORY: pytorch/ao 2025-09-09T15:12:02.5765592Z PR_NUMBER: 2963 2025-09-09T15:12:02.5767581Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:02.5769728Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:02.5770297Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:02.5770834Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:02.5771274Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:02.5771607Z ##[endgroup] 2025-09-09T15:12:02.5799687Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T15:12:02.5800348Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T15:12:02.5815459Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T15:12:02.5815825Z env: 2025-09-09T15:12:02.5816071Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:02.5816426Z REPOSITORY: pytorch/ao 2025-09-09T15:12:02.5816667Z PR_NUMBER: 2963 2025-09-09T15:12:02.5818655Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:02.5820772Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:02.5821347Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:02.5821876Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:02.5822328Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:02.5822800Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T15:12:02.5823280Z DIRECTORY: /home/ec2-user/actions-runner/_work/ao/ao/ 2025-09-09T15:12:02.5823622Z ##[endgroup] 2025-09-09T15:12:02.6094273Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally 2025-09-09T15:12:02.8453940Z latest: Pulling from tool/alpine 2025-09-09T15:12:02.8454773Z 540db60ca938: Pulling fs layer 2025-09-09T15:12:02.9501855Z 540db60ca938: Verifying Checksum 2025-09-09T15:12:02.9502181Z 540db60ca938: Download complete 2025-09-09T15:12:03.0658505Z 540db60ca938: Pull complete 2025-09-09T15:12:03.0769836Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-09-09T15:12:03.0812322Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-09-09T15:12:04.2857721Z Prepare all required actions 2025-09-09T15:12:04.2884535Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-09-09T15:12:04.2884876Z with: 2025-09-09T15:12:04.2885138Z directory: /home/ec2-user/actions-runner/_work/_temp 2025-09-09T15:12:04.2885605Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T15:12:04.2886011Z env: 2025-09-09T15:12:04.2886251Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:04.2886607Z REPOSITORY: pytorch/ao 2025-09-09T15:12:04.2886853Z PR_NUMBER: 2963 2025-09-09T15:12:04.2888827Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:04.2890957Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:04.2891520Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:04.2892050Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:04.2892478Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:04.2892815Z ##[endgroup] 2025-09-09T15:12:04.2913213Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T15:12:04.2914093Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T15:12:04.2926260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T15:12:04.2926615Z env: 2025-09-09T15:12:04.2926854Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:04.2927199Z REPOSITORY: pytorch/ao 2025-09-09T15:12:04.2927438Z PR_NUMBER: 2963 2025-09-09T15:12:04.2929369Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:04.2931471Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:04.2932046Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:04.2932568Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:04.2933002Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:04.2933469Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T15:12:04.2933948Z DIRECTORY: /home/ec2-user/actions-runner/_work/_temp 2025-09-09T15:12:04.2934285Z ##[endgroup] 2025-09-09T15:12:05.2373761Z ##[group]Run # Only do these steps if we actually want to upload an artifact 2025-09-09T15:12:05.2374345Z # Only do these steps if we actually want to upload an artifact 2025-09-09T15:12:05.2374775Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then 2025-09-09T15:12:05.2375298Z  # If the default execution path is followed then we should get a wheel in the dist/ folder 2025-09-09T15:12:05.2375948Z  # attempt to just grab whatever is in there and scoop it all up 2025-09-09T15:12:05.2376433Z  if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then 2025-09-09T15:12:05.2376889Z  mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/" 2025-09-09T15:12:05.2377198Z  fi 2025-09-09T15:12:05.2377463Z  if [[ -d "artifacts-to-be-uploaded" ]]; then 2025-09-09T15:12:05.2377907Z  mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/" 2025-09-09T15:12:05.2378315Z  fi 2025-09-09T15:12:05.2378541Z fi 2025-09-09T15:12:05.2378728Z  2025-09-09T15:12:05.2378929Z upload_docs=0 2025-09-09T15:12:05.2379310Z # Check if there are files in the documentation folder to upload, note that 2025-09-09T15:12:05.2379762Z # empty folders do not count 2025-09-09T15:12:05.2380198Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then 2025-09-09T15:12:05.2380769Z  # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this 2025-09-09T15:12:05.2381254Z  # upload will probably not work correctly 2025-09-09T15:12:05.2381580Z  upload_docs=1 2025-09-09T15:12:05.2381816Z fi 2025-09-09T15:12:05.2382113Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}" 2025-09-09T15:12:05.2392096Z shell: /usr/bin/bash -e {0} 2025-09-09T15:12:05.2392399Z env: 2025-09-09T15:12:05.2392652Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:05.2393003Z REPOSITORY: pytorch/ao 2025-09-09T15:12:05.2393241Z PR_NUMBER: 2963 2025-09-09T15:12:05.2395176Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:05.2397476Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:05.2398040Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:05.2398568Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:05.2398997Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:05.2399356Z UPLOAD_ARTIFACT_NAME: 2025-09-09T15:12:05.2399595Z ##[endgroup] 2025-09-09T15:12:05.2501006Z Prepare all required actions 2025-09-09T15:12:05.2536730Z ##[group]Run ./test-infra/.github/actions/teardown-linux 2025-09-09T15:12:05.2537081Z with: 2025-09-09T15:12:05.2537262Z env: 2025-09-09T15:12:05.2537509Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:05.2537849Z REPOSITORY: pytorch/ao 2025-09-09T15:12:05.2538094Z PR_NUMBER: 2963 2025-09-09T15:12:05.2540101Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:05.2542236Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:05.2542873Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:05.2543401Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:05.2543833Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:05.2544161Z ##[endgroup] 2025-09-09T15:12:05.2565927Z ##[group]Run set -eou pipefail 2025-09-09T15:12:05.2566253Z set -eou pipefail 2025-09-09T15:12:05.2566497Z  2025-09-09T15:12:05.2566843Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-09T15:12:05.2567302Z for _ in $(seq 1440); do 2025-09-09T15:12:05.2567614Z  # Break if no ssh session exists anymore 2025-09-09T15:12:05.2567947Z  if [ "$(who)" = "" ]; then 2025-09-09T15:12:05.2568219Z  break 2025-09-09T15:12:05.2568444Z  fi 2025-09-09T15:12:05.2568649Z  echo "." 2025-09-09T15:12:05.2568874Z  sleep 5 2025-09-09T15:12:05.2569092Z done 2025-09-09T15:12:05.2579380Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T15:12:05.2579744Z env: 2025-09-09T15:12:05.2579993Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:05.2580347Z REPOSITORY: pytorch/ao 2025-09-09T15:12:05.2580596Z PR_NUMBER: 2963 2025-09-09T15:12:05.2582529Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:05.2584658Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:05.2585244Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:05.2585774Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:05.2586223Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:05.2586565Z ##[endgroup] 2025-09-09T15:12:05.2615409Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-09T15:12:05.2728079Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-09T15:12:05.2728649Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-09T15:12:05.2729053Z # shellcheck disable=SC2046 2025-09-09T15:12:05.2729365Z docker stop $(docker ps -q) || true 2025-09-09T15:12:05.2729693Z # Prune all of the docker images 2025-09-09T15:12:05.2729998Z docker system prune -af 2025-09-09T15:12:05.2739193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T15:12:05.2739547Z env: 2025-09-09T15:12:05.2740021Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:05.2740370Z REPOSITORY: pytorch/ao 2025-09-09T15:12:05.2740631Z PR_NUMBER: 2963 2025-09-09T15:12:05.2742575Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:05.2744701Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:05.2745264Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:05.2745799Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:05.2746549Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:05.2746890Z ##[endgroup] 2025-09-09T15:12:07.1147953Z f10713c711f2 2025-09-09T15:12:14.9544502Z Deleted Containers: 2025-09-09T15:12:14.9545007Z f10713c711f25a56e9a02c29c9e30ef88b1e77edac5b34636751efd8b4c3e1ce 2025-09-09T15:12:14.9545388Z 2025-09-09T15:12:22.6664756Z Deleted Images: 2025-09-09T15:12:22.6665136Z untagged: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:22.6665817Z untagged: pytorch/almalinux-builder@sha256:be7f2a4c6f467933b154ac0b3ded894ad1bf06ce95f8f8d908dba108e68806f3 2025-09-09T15:12:22.6666586Z deleted: sha256:f2a1aa8f0f7d42816c0fe19d8838a50734adb5eb5de36e7f04cffdbf8de9d63c 2025-09-09T15:12:22.6667295Z deleted: 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308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-09-09T15:12:22.6691201Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec 2025-09-09T15:12:22.6691826Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116 2025-09-09T15:12:22.6692198Z 2025-09-09T15:12:22.6692312Z Total reclaimed space: 28.81GB 2025-09-09T15:12:22.6760033Z ##[group]Run set +e 2025-09-09T15:12:22.6760297Z set +e 2025-09-09T15:12:22.6760526Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-09-09T15:12:22.6760918Z  sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-09-09T15:12:22.6761259Z else 2025-09-09T15:12:22.6761526Z  rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-09-09T15:12:22.6761858Z fi 2025-09-09T15:12:22.6762048Z set -e 2025-09-09T15:12:22.6773580Z shell: /usr/bin/bash -e {0} 2025-09-09T15:12:22.6773832Z env: 2025-09-09T15:12:22.6774083Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6 2025-09-09T15:12:22.6774419Z REPOSITORY: pytorch/ao 2025-09-09T15:12:22.6774669Z PR_NUMBER: 2963 2025-09-09T15:12:22.6776612Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv echo "::group::Install newer objcopy that supports --set-section-alignment" dnf install -y gcc-toolset-10-binutils export PATH=/opt/rh/gcc-toolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install torch==2.6.0 sed -i '' dev-requirements.txt pip install -r dev-requirements.txt pip install . export CONDA=$(dirname $(dirname $(which conda))) export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH pytest test --verbose -s 2025-09-09T15:12:22.6778716Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-09-09T15:12:22.6779276Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-09-09T15:12:22.6779994Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-09-09T15:12:22.6780431Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T15:12:22.6780766Z NO_SUDO: false 2025-09-09T15:12:22.6780978Z ##[endgroup] 2025-09-09T15:12:23.1907499Z Post job cleanup. 2025-09-09T15:12:23.2991710Z Post job cleanup. 2025-09-09T15:12:23.3963153Z [command]/usr/bin/git version 2025-09-09T15:12:23.4015137Z git version 2.47.1 2025-09-09T15:12:23.4061089Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/4fb2237f-f281-4e0b-ac21-9cf79b3612d3' before making global git config changes 2025-09-09T15:12:23.4062037Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T15:12:23.4066528Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/test-infra 2025-09-09T15:12:23.4109316Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T15:12:23.4149406Z [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' || :" 2025-09-09T15:12:23.4568938Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T15:12:23.4597647Z http.https://github.com/.extraheader 2025-09-09T15:12:23.4610354Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-09T15:12:23.4648000Z [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' || :" 2025-09-09T15:12:23.5155146Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-09T15:12:23.5187070Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-09T15:12:23.5195193Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T15:12:23.5195582Z ##[endgroup] 2025-09-09T15:12:23.5334831Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-09T15:12:34.8465641Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-09T15:12:53.1759785Z Cleaning up orphan processes