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Feat: Add support for PyTorch 2.5 in workflows (#1284)

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* Feat: Add support for PyTorch 2.5 in workflows

* fix: update to 2.5.1
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NanoCode012 2024-11-07 15:37:56 +07:00 committed by GitHub
parent 478ee666cc
commit f0bf3ed9ab
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1 changed files with 3 additions and 3 deletions
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6
.github/workflows/publish.yml vendored
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@ -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: ['3.8', '3.9', '3.10', '3.11', '3.12']
torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0']
torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0', '2.5.1']
cuda-version: ['11.8.0', '12.3.2']
# 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.
@ -118,8 +118,8 @@ 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 = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 121}[env['MATRIX_TORCH_VERSION']]; \
minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118, '2.5': 118}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124, '2.5': 124}[env['MATRIX_TORCH_VERSION']]; \
print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \
)
if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then