[CI] Align cuda-python with PyTorch cuda-bindings#19738
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This pull request updates the cuda-python package version to 12.9.4 in the Ubuntu installation script. However, this introduces a version mismatch with the CUDA base image (12.8.1) specified in the Dockerfile, which could lead to runtime compatibility issues. It is recommended to update the base image to a 12.9.x version to maintain consistency.
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mshr-h
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Jun 12, 2026
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This updates the CI GPU Docker dependency pin for `cuda-python` from `12.8.0` to `12.9.4`. `torch==2.10.0`, installed later by `ubuntu_install_onnx.sh`, requires `cuda-bindings==12.9.4` on Linux x86_64. However, `cuda-python==12.8.0` constrains `cuda-bindings` to the `12.8.x` series, leaving the CI Python CUDA dependency set inconsistent. Using `cuda-python==12.9.4` keeps the `cuda-bindings` requirement aligned with the PyTorch wheel already used in the CI image. This does not change the CUDA base image. (cherry picked from commit a100bd3)
MasterJH5574
pushed a commit
to MasterJH5574/tvm
that referenced
this pull request
Jun 15, 2026
This updates the CI GPU Docker dependency pin for `cuda-python` from `12.8.0` to `12.9.4`. `torch==2.10.0`, installed later by `ubuntu_install_onnx.sh`, requires `cuda-bindings==12.9.4` on Linux x86_64. However, `cuda-python==12.8.0` constrains `cuda-bindings` to the `12.8.x` series, leaving the CI Python CUDA dependency set inconsistent. Using `cuda-python==12.9.4` keeps the `cuda-bindings` requirement aligned with the PyTorch wheel already used in the CI image. This does not change the CUDA base image. (cherry picked from commit a100bd3)
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This updates the CI GPU Docker dependency pin for
cuda-pythonfrom12.8.0to12.9.4.torch==2.10.0, installed later byubuntu_install_onnx.sh, requirescuda-bindings==12.9.4on Linux x86_64. However,cuda-python==12.8.0constrainscuda-bindingsto the12.8.xseries, leaving the CI Python CUDA dependency set inconsistent.Using
cuda-python==12.9.4keeps thecuda-bindingsrequirement aligned with the PyTorch wheel already used in the CI image. This does not change the CUDA base image.