[ET-VK] De vectorise all vectors in conv2d pw shader to improve perf. #11189
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Pull Request resolved: #11108 This diff optimizes the performance of the `conv2d_pw` shader by de-vectorizing its implementation. * The original vectorized implementation of the `conv2d_pw` shader has been replaced with a de-vectorized approach to improve performance. * The `sum` array has been redefined to hold `float` values instead of `vec4` to accommodate the de-vectorized computation. These changes seem to allow shader compiler to better optimize operations within the shader hence improving perf. ghstack-source-id: 286652100 @exported-using-ghexport Differential Revision: [D75307267](https://our.internmc.facebook.com/intern/diff/D75307267/)
Pull Request resolved: #11110 This diff removes the use of shared memory in the conv2d pw (pointwise) operation to improve performance. ghstack-source-id: 286652103 Differential Revision: [D75316188](https://our.internmc.facebook.com/intern/diff/D75316188/)
Pull Request resolved: #11112 This diff tunes the tile size for the conv 2d pw op to improve performance. The changes include updating the `TILE_SIZE_X` and `TILE_SIZE_Y` values in the `conv2d_pw.yaml` files and modifying the `Convolution.cpp` files to adjust the image extents calculation. The `TILE_SIZE_X` value is changed from 2 to 1, and the `TILE_SIZE_Y` value is changed from 2 to 4. ghstack-source-id: 286652109 Differential Revision: [D75317820](https://our.internmc.facebook.com/intern/diff/D75317820/)
Pull Request resolved: #11113 The diff introduces minor tuning for the Conv2d pointwise (PW) operation in the Vulkan backend to improve performance. Conv 2d pw now issues a 2D dispatch instead of 1D, where dispatch axis y is now sized based on output texture's batch size. ghstack-source-id: 286652099 Differential Revision: [D75251145](https://our.internmc.facebook.com/intern/diff/D75251145/)
Pull Request resolved: #11122 This improves the performance of the conv2d pw shader by de-vectorizing position storage. The optimization involved replacing the `ivec3 pos` array with a plain `int pos` array to store the position values. The `x` and `y` coordinates are now stored in separate elements of the array instead of being stored together in an `ivec3`. This change allows for more efficient memory access and computation. ghstack-source-id: 286652097 @exported-using-ghexport Differential Revision: [D75335802](https://our.internmc.facebook.com/intern/diff/D75335802/)
Pull Request resolved: #11134 This diff provides a minor unroll tuning to improve the performance of the conv2d pointwise (pw) operation in the Executorch Vulkan backend. ghstack-source-id: 286652101 @exported-using-ghexport Differential Revision: [D75420510](https://our.internmc.facebook.com/intern/diff/D75420510/)
…ove performance. Pull Request resolved: #11135 This diff adjusts the local workgroup size (`local_wg_size`) based on batch count (stored in `wg_size[1]`), to improve conv2d pw performance. * If `wg_size[1]` is a multiple of 8, `local_wg_size_y` is set to 8. * If `wg_size[1]` is a multiple of 4, `local_wg_size_y` is set to 4. * If `wg_size[1]` is a multiple of 2, `local_wg_size_y` is set to 2. * Otherwise, we default to `local_wg_size_y` = 1. The dispatch size in 2 dimensions is then calculate based on `{64 / local_wg_size_y, local_wg_size_y, 1}`. ghstack-source-id: 286652105 @exported-using-ghexport Differential Revision: [D75420517](https://our.internmc.facebook.com/intern/diff/D75420517/)
Pull Request resolved: #11136 This diff improves the performance of the conv2d pw shader by de-vectorizing all vectors. ghstack-source-id: 286652098 @exported-using-ghexport Differential Revision: [D75423245](https://our.internmc.facebook.com/intern/diff/D75423245/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11189
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 3a5cf6e with merge base 11f8f4a ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #11136 by @trivedivivek
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/trivedivivek/96/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/trivedivivek/96/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/trivedivivek/95/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/trivedivivek/96/orig
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