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:\Users\xxx\Python\NLP with PyTorch.venv\Lib\site-packages\torch\nn\functional.py:1268: UserWarning: The operator 'aten::native_dropout' 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.) | 0/250 [00:00<?, ?it/s] return VF.dropout(input, p, training) if inplace else _VF.dropout(input, p, training)
Sorry, I have no idea what this is
The text was updated successfully, but these errors were encountered:
Hi @trevorjwood , thank you for the feedback. We've now added support for native_dropout in our latest torch-directml 0.2.2.dev240614 release. Please run pip install torch-directml --upgrade to update to this version
:\Users\xxx\Python\NLP with PyTorch.venv\Lib\site-packages\torch\nn\functional.py:1268: UserWarning: The operator 'aten::native_dropout' 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.) | 0/250 [00:00<?, ?it/s] return VF.dropout(input, p, training) if inplace else _VF.dropout(input, p, training)
Sorry, I have no idea what this is
The text was updated successfully, but these errors were encountered: