Update torch version to 2.13.0#2045
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…file and unit test scripts Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
…file_xpu.devel Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
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/azp run Unit-Test-CUDA-AutoRound |
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Azure Pipelines successfully started running 1 pipeline(s). |
…ll model RTN generation test due to triton issue Signed-off-by: Sun, Xuehao <xuehao.sun@intel.com>
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/azp run Unit-Test-CUDA-AutoRound |
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Azure Pipelines successfully started running 1 pipeline(s). |
chensuyue
approved these changes
Jul 13, 2026
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Description
This pull request updates the PyTorch (
torch) and TorchVision (torchvision) dependencies across multiple Dockerfiles, scripts, and constraints files to newer versions. It also updates thekernelspackage version in the CUDA unit test setup. These changes ensure the development and test environments are using the latest compatible versions of these core libraries.Dependency version updates:
Upgraded
torchfrom version2.12.1to2.13.0andtorchvisionfrom0.27.1to0.28.0in the following files and scripts:.azure-pipelines/docker/Dockerfile.devel.azure-pipelines/docker/Dockerfile_xpu.devel.azure-pipelines/scripts/ut/constraints.txt.azure-pipelines/scripts/cuda_unit_test/run_cuda_ut.sh.azure-pipelines/scripts/ut/run_ut_cuda.sh[1] [2]Updated the
kernelspackage from0.12.3to0.15.2in the CUDA unit test script to match the requirements of newertransformersversions.