RuntimeError: aten::grid_sampler_2d_backward()
secretsather opened this issue · comments
Running train.py results in the following runtime error:
RuntimeError: aten::grid_sampler_2d_backward() is missing value for argument 'output_mask'. Declaration: aten::grid_sampler_2d_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask) -> (Tensor, Tensor)
- OS: Windows 11
- PyTorch version 1.11
- CUDA toolkit version 11.6
- GPU GTX 3080ti
- Docker: did you use Docker? No
Changes from the below commit to conv2d_gradfix.py & grid_sample_gradfix.py will correct issues:
NVlabs@407db86
Thanks, I have updated the code to work with PyTorch 1.11 in PR #12. Check it in case there's anything wrong.