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I get this when running loss.backward(): RuntimeError: 0 <= device.index() && device.index() < static_castc10::DeviceIndex(device_ready_queues.size()) INTERNAL ASSERT FAILED at "C:\actions-runner\work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\engine.cpp":1451, please report a bug to PyTorch.
Is DirectML unusable for PyTorch on windows with AMD GPU, or could there be some error somewhere? I just create a super simple net that works fine on CPU.
The text was updated successfully, but these errors were encountered:
I have the same error, also on an AMD Radeon GPU with Windows 11. Model and data successfully transfer to dml, forward pass is fine, but loss.backward() produces this error.
I get this when running loss.backward(): RuntimeError: 0 <= device.index() && device.index() < static_castc10::DeviceIndex(device_ready_queues.size()) INTERNAL ASSERT FAILED at "C:\actions-runner\work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\autograd\engine.cpp":1451, please report a bug to PyTorch.
Is DirectML unusable for PyTorch on windows with AMD GPU, or could there be some error somewhere? I just create a super simple net that works fine on CPU.
The text was updated successfully, but these errors were encountered: