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Closed as duplicate of#108341
Closed as duplicate of#108341
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module: cudaRelated to torch.cuda, and CUDA support in generalRelated to torch.cuda, and CUDA support in generalmodule: determinismmodule: python frontendFor issues relating to PyTorch's Python frontendFor issues relating to PyTorch's Python frontendtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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🚀 The feature, motivation and pitch
UserWarning: adaptive_avg_pool2d_backward_cuda does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at ..\aten\src\ATen\Context.cpp:83.)
Kindly add support to this
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module: cudaRelated to torch.cuda, and CUDA support in generalRelated to torch.cuda, and CUDA support in generalmodule: determinismmodule: python frontendFor issues relating to PyTorch's Python frontendFor issues relating to PyTorch's Python frontendtriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module