[ET-VK][Ops] aten.convolution (Transpose) #2883
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## Summary (cases handled) We introduce support for the convolution cases covered by ATen-VK's transpose implementation. This is achieved by - reusing the existing [`conv_transpose2d.glsl`](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/glsl/conv_transpose2d.glsl), and - [moving special weights prepacking from CPU](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/ops/Convolution.cpp#L134-L235) to the GPU in `conv_transpose2d_prepack_weights.glsl`. We also include resizing support for dynamic shapes. Note that only height and width of the input can vary. ## Cases not handled The implementation is on-par with ATen-VK's Transpose. This means the following cases are missing: 1. **Groups G > 1.** 2. **Batch (input) N > 1.** 3. **Dilation > 1.** Differential Revision: [D55667336](https://our.internmc.facebook.com/intern/diff/D55667336/) [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2883
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 37e6160 with merge base d3326a2 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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## Summary (cases handled) We introduce support for the convolution cases covered by ATen-VK's transpose implementation. This is achieved by - reusing the existing [`conv_transpose2d.glsl`](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/glsl/conv_transpose2d.glsl), and - [moving special weights prepacking from CPU](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/ops/Convolution.cpp#L134-L235) to the GPU in `conv_transpose2d_prepack_weights.glsl`. We also include resizing support for dynamic shapes. Note that only height and width of the input can vary. ## Cases not handled The implementation is on-par with ATen-VK's Transpose. This means the following cases are missing: 1. **Groups G > 1.** 2. **Batch (input) N > 1.** 3. **Dilation > 1.** Differential Revision: [D55667336](https://our.internmc.facebook.com/intern/diff/D55667336/) [ghstack-poisoned]
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This pull request was exported from Phabricator. Differential Revision: D55667336 |
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Pull Request resolved: #2883 ## Summary (cases handled) We introduce support for the convolution cases covered by ATen-VK's transpose implementation. This is achieved by - reusing the existing [`conv_transpose2d.glsl`](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/glsl/conv_transpose2d.glsl), and - [moving special weights prepacking from CPU](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/ops/Convolution.cpp#L134-L235) to the GPU in `conv_transpose2d_prepack_weights.glsl`. We also include resizing support for dynamic shapes. Note that only height and width of the input can vary. ## Cases not handled The implementation is on-par with ATen-VK's Transpose. This means the following cases are missing: 1. **Groups G > 1.** 2. **Batch (input) N > 1.** 3. **Dilation > 1.** ghstack-source-id: 221721754 @exported-using-ghexport Differential Revision: [D55667336](https://our.internmc.facebook.com/intern/diff/D55667336/)
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kedarnath03
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## Summary (cases handled) We introduce support for the convolution cases covered by ATen-VK's transpose implementation. This is achieved by - reusing the existing [`conv_transpose2d.glsl`](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/glsl/conv_transpose2d.glsl), and - [moving special weights prepacking from CPU](https://github.com/pytorch/pytorch/blob/09c72eaa3f69f90402c86a30abf4fc621298578c/aten/src/ATen/native/vulkan/ops/Convolution.cpp#L134-L235) to the GPU in `conv_transpose2d_prepack_weights.glsl`. We also include resizing support for dynamic shapes. Note that only height and width of the input can vary. ## Cases not handled The implementation is on-par with ATen-VK's Transpose. This means the following cases are missing: 1. **Groups G > 1.** 2. **Batch (input) N > 1.** 3. **Dilation > 1.** Differential Revision: [D55667336](https://our.internmc.facebook.com/intern/diff/D55667336/) ghstack-source-id: 221526248 Pull Request resolved: pytorch/executorch#2883
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Stack from ghstack (oldest at bottom):
Summary (cases handled)
We introduce support for the convolution cases covered by ATen-VK's transpose implementation. This is achieved by
conv_transpose2d.glsl, andconv_transpose2d_prepack_weights.glsl.We also include resizing support for dynamic shapes. Note that only height and width of the input can vary.
Cases not handled
The implementation is on-par with ATen-VK's Transpose. This means the following cases are missing:
Differential Revision: D55667336