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44 | 44 | # manylinux docker image, but I haven't figured out how to install CUDA on manylinux. |
45 | 45 | os: [ubuntu-20.04] |
46 | 46 | python-version: ['3.8', '3.9', '3.10', '3.11', '3.12'] |
47 | | - torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0.dev20240505'] |
| 47 | + torch-version: ['2.0.1', '2.1.2', '2.2.2', '2.3.1', '2.4.0'] |
48 | 48 | cuda-version: ['11.8.0', '12.2.2'] |
49 | 49 | # We need separate wheels that either uses C++11 ABI (-D_GLIBCXX_USE_CXX11_ABI) or not. |
50 | 50 | # Pytorch wheels currently don't use it, but nvcr images have Pytorch compiled with C++11 ABI. |
@@ -117,7 +117,7 @@ jobs: |
117 | 117 | # This code is ugly, maybe there's a better way to do this. |
118 | 118 | export TORCH_CUDA_VERSION=$(python -c "from os import environ as env; \ |
119 | 119 | minv = {'2.0': 117, '2.1': 118, '2.2': 118, '2.3': 118, '2.4': 118}[env['MATRIX_TORCH_VERSION']]; \ |
120 | | - maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 121}[env['MATRIX_TORCH_VERSION']]; \ |
| 120 | + maxv = {'2.0': 118, '2.1': 121, '2.2': 121, '2.3': 121, '2.4': 124}[env['MATRIX_TORCH_VERSION']]; \ |
121 | 121 | print(max(min(int(env['MATRIX_CUDA_VERSION']), maxv), minv))" \ |
122 | 122 | ) |
123 | 123 | if [[ ${{ matrix.torch-version }} == *"dev"* ]]; then |
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