Add support for quantize_() with Float8Linear module #5462
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name: Run Regression Tests | |
on: | |
push: | |
branches: | |
- main | |
- 'gh/**' | |
pull_request: | |
branches: | |
- main | |
- 'gh/**' | |
concurrency: | |
group: regression_test-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number || github.ref }} | |
cancel-in-progress: true | |
env: | |
HF_TOKEN: ${{ secrets.HF_TOKEN }} | |
jobs: | |
test-nightly: | |
strategy: | |
fail-fast: false | |
matrix: | |
include: | |
- name: CUDA Nightly | |
runs-on: linux.g5.12xlarge.nvidia.gpu | |
torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cu124' | |
gpu-arch-type: "cuda" | |
gpu-arch-version: "12.4" | |
- name: CPU Nightly | |
runs-on: linux.4xlarge | |
torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cpu' | |
gpu-arch-type: "cpu" | |
gpu-arch-version: "" | |
uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main | |
with: | |
timeout: 120 | |
runner: ${{ matrix.runs-on }} | |
gpu-arch-type: ${{ matrix.gpu-arch-type }} | |
gpu-arch-version: ${{ matrix.gpu-arch-version }} | |
script: | | |
conda create -n venv python=3.9 -y | |
conda activate venv | |
python -m pip install --upgrade pip | |
pip install ${{ matrix.torch-spec }} | |
pip install -r dev-requirements.txt | |
pip install . | |
export CONDA=$(dirname $(dirname $(which conda))) | |
export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH | |
pytest test --verbose -s | |
test: | |
strategy: | |
fail-fast: false | |
matrix: | |
include: | |
- name: CUDA 2.3 | |
runs-on: linux.g5.12xlarge.nvidia.gpu | |
torch-spec: 'torch==2.3.0' | |
gpu-arch-type: "cuda" | |
gpu-arch-version: "12.1" | |
- name: CUDA 2.4 | |
runs-on: linux.g5.12xlarge.nvidia.gpu | |
torch-spec: 'torch==2.4.0' | |
gpu-arch-type: "cuda" | |
gpu-arch-version: "12.1" | |
- name: CUDA 2.5.1 | |
runs-on: linux.g5.12xlarge.nvidia.gpu | |
torch-spec: 'torch==2.5.1 --index-url https://download.pytorch.org/whl/cu121' | |
gpu-arch-type: "cuda" | |
gpu-arch-version: "12.1" | |
- name: CPU 2.3 | |
runs-on: linux.4xlarge | |
torch-spec: 'torch==2.3.0 --index-url https://download.pytorch.org/whl/cpu' | |
gpu-arch-type: "cpu" | |
gpu-arch-version: "" | |
- name: CPU 2.4 | |
runs-on: linux.4xlarge | |
torch-spec: 'torch==2.4.0 --index-url https://download.pytorch.org/whl/cpu' | |
gpu-arch-type: "cpu" | |
gpu-arch-version: "" | |
- name: CPU 2.5.1 | |
runs-on: linux.4xlarge | |
torch-spec: 'torch==2.5.1 --index-url https://download.pytorch.org/whl/cpu' | |
gpu-arch-type: "cpu" | |
gpu-arch-version: "" | |
uses: pytorch/test-infra/.github/workflows/linux_job.yml@main | |
with: | |
timeout: 120 | |
runner: ${{ matrix.runs-on }} | |
gpu-arch-type: ${{ matrix.gpu-arch-type }} | |
gpu-arch-version: ${{ matrix.gpu-arch-version }} | |
script: | | |
conda create -n venv python=3.9 -y | |
conda activate venv | |
echo "::group::Install newer objcopy that supports --set-section-alignment" | |
yum install -y devtoolset-10-binutils | |
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH | |
python -m pip install --upgrade pip | |
pip install ${{ matrix.torch-spec }} | |
pip install -r dev-requirements.txt | |
pip install . | |
export CONDA=$(dirname $(dirname $(which conda))) | |
export LD_LIBRARY_PATH=$CONDA/lib/:$LD_LIBRARY_PATH | |
pytest test --verbose -s |