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I uninstalled and then upgraded VSCode, Pytorch and DML.
a very simple and small model, using torch.nn.Dropout
:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\torch\autograd\graph.py:744: UserWarning: The operator 'aten::native_dropout_backward' is not currently supported on the DML backend and will fall back to run on the CPU. This may have performance implications. (Triggered internally at C:__w\1\s\pytorch-directml-plugin\torch_directml\csrc\dml\dml_cpu_fallback.cpp:17.)
return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
....and now the work do fallback to the CPU...
before that I ´ve been running on the GPU everything without any problem for a couple of years.
should I go back to older versions?
AMD gpu
Windows 10
VSCode 1.88.1
Pytorch 3.12.5
torch-directml-0.2.4.dev240815
The text was updated successfully, but these errors were encountered:
I uninstalled and then upgraded VSCode, Pytorch and DML.
a very simple and small model, using torch.nn.Dropout
:\Users\User\AppData\Local\Programs\Python\Python312\Lib\site-packages\torch\autograd\graph.py:744: UserWarning: The operator 'aten::native_dropout_backward' is not currently supported on the DML backend and will fall back to run on the CPU. This may have performance implications. (Triggered internally at C:__w\1\s\pytorch-directml-plugin\torch_directml\csrc\dml\dml_cpu_fallback.cpp:17.)
return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
....and now the work do fallback to the CPU...
before that I ´ve been running on the GPU everything without any problem for a couple of years.
should I go back to older versions?
AMD gpu
Windows 10
VSCode 1.88.1
Pytorch 3.12.5
torch-directml-0.2.4.dev240815
The text was updated successfully, but these errors were encountered: