squall/flash-attention
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

[CI] Compile for pytorch 2.4.0.dev20240407 (for nvcr 24.05)

Browse Source
This commit is contained in:
Tri Dao 2024-05-26 12:41:17 -07:00
parent 40e667236c
commit af627063e3
1 changed files with 6 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
.github/workflows/publish.yml vendored
View File

@ -44,7 +44,7 @@ jobs:
# manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
os: [ubuntu-20.04]
python-version: ['3.7', '3.8', '3.9', '3.10', '3.11', '3.12']
torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0']
torch-version: ['1.12.1', '1.13.1', '2.0.1', '2.1.2', '2.2.2', '2.3.0', '2.4.0.dev20240407']
cuda-version: ['11.8.0', '12.2.2']
# We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not.
# Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI.
@ -74,6 +74,8 @@ jobs:
python-version: '3.7'
- torch-version: '2.3.0'
python-version: '3.7'
- torch-version: '2.4.0.dev20240407'
python-version: '3.7'
# Pytorch <= 2.0 only supports CUDA <= 11.8
- torch-version: '1.12.1'
cuda-version: '12.2.2'
@ -139,18 +141,12 @@ jobs:
# see https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix
# This code is ugly, maybe there's a better way to do this.
export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \
minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121}[env['MATRIX_TORCH_VERSION']]; \
minv = {'1.12': 113, '1.13': 116, '2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'1.12': 116, '1.13': 117, '2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 121}[env['MATRIX_TORCH_VERSION']]; \
print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
)
if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then
if [[ ${MATRIX_TORCH_VERSION} == "2.2" ]]; then
# --no-deps because we can't install old versions of pytorch-triton
pip install typing-extensions jinja2
pip install --no-cache-dir --no-deps --pre https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}/torch-${{ matrix.torch-version }}%2Bcu${TORCH_CUDA_VERSION}-cp${MATRIX_PYTHON_VERSION}-cp${MATRIX_PYTHON_VERSION}-linux_x86_64.whl
else
pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}
fi
pip install --no-cache-dir --pre torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/nightly/cu${TORCH_CUDA_VERSION}
else
pip install --no-cache-dir torch==${{ matrix.torch-version }} --index-url https://download.pytorch.org/whl/cu${TORCH_CUDA_VERSION}
fi