pytorch
de3a4eb5 - Migrate thnn_conv_depthwise2d from THC to ATen (#62006)

Commit
3 years ago
Migrate thnn_conv_depthwise2d from THC to ATen (#62006) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/62006 Closes gh-24646, gh-24647 There is no `TensorIterator` equivalent to these kernels so this is just migrating the existing kernels over to the ATen style. I've benchmarked for contiguous tensors with this script: ``` import torch shape = (10, 10, 100, 100) x = torch.randn(*shape, device='cuda') w = torch.randn((10, 1, 5, 5), device='cuda') for _ in range(100): torch.nn.functional.conv2d(x, w, groups=10) ``` and similarly for backwards. I see these as the same to within measurement error. | | Master Forward (us) | This PR Forward (us) | |------------------:|:-------------------:|:--------------------:| | Forward | 133.5 | 133.6 | | Backward (input) | 1,102 | 1,119 | | Backward (weight) | 2,220 | 2,217 | Test Plan: Imported from OSS Reviewed By: jbschlosser Differential Revision: D29883676 Pulled By: ngimel fbshipit-source-id: 9b2ac62cdd8a84e1a23ffcd66035b2b2fe2374d8
Author
Parents
Loading