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add torch 2.8.0 and 2.9.0 for build #810

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4 changes: 2 additions & 2 deletions .github/workflows/_build.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -104,8 +104,8 @@ jobs:
# e.g. we can have system CUDA version being 11.7 but if torch==1.12 then we need to download the wheel from cu116
# 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 = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118, '2.8': 126}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128, '2.8': 129}[env['MATRIX_TORCH_VERSION']]; \
minv = {'2.4': 118, '2.5': 118, '2.6': 118, '2.7': 118, '2.8': 126, '2.9': 126}[env['MATRIX_TORCH_VERSION']]; \
maxv = {'2.4': 124, '2.5': 124, '2.6': 126, '2.7': 128, '2.8': 129, '2.9': 130}[env['MATRIX_TORCH_VERSION']]; \
print(minv if int(env['MATRIX_CUDA_VERSION']) < 120 else maxv)" \
)
if [[ ${{ inputs.torch-version }} == *"dev"* ]]; then
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2 changes: 1 addition & 1 deletion .github/workflows/publish.yaml
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Expand Up @@ -44,7 +44,7 @@ jobs:
# manylinux docker image, but I haven't figured out how to install CUDA on manylinux.
os: [ubuntu-22.04]
python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
torch-version: ["2.4.0", "2.5.1", "2.6.0", "2.7.1"]
torch-version: ["2.4.0", "2.5.1", "2.6.0", "2.7.1", "2.8.0", "2.9.0"]
cuda-version: ["11.8.0", "12.9.1"]
# 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.
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