[ET-VK] Clean up vTensor member variables and expose dim order UBO and push constant#11621
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[ET-VK] Clean up vTensor member variables and expose dim order UBO and push constant#11621
vTensor member variables and expose dim order UBO and push constant#11621Conversation
…O and push constant Pull Request resolved: #11599 ## Changes * Add dim order to the list of tensor metadata that can be ingested by compute shaders * Do not persistently store derivative metadata (i.e. padded sizes, padded numel, unsqueezed strides, etc.) as members of vTensor; instead store these in `uniform_data_` and use `uniform_data_` as the source of truth ## Motivation > Add dim order to the list of tensor metadata that can be ingested by compute shaders Knowing the dim order is necessary to convert between a linear buffer index to N-dimensional tensor index using a tensor's strides. Technically, the dim order can be inferred from the strides by performing an index sort on the strides array; however to prevent compute shaders from having to do this operation frequently, it is more efficient to pass in the dim order directly to the compute shader. Currently, ET-VK compute shaders make strong assumptions about the dim order of buffer backed tensors so as to avoid having to dynamically generate the dim order from the strides array. However, these assumptions are not enforced and it is more correct to just account for the dim order rather than make assumptions. This will be addressed in the next diff. > Do not persistently store derivative metadata (i.e. padded sizes, padded numel, unsqueezed strides, etc.) as members of vTensor; instead store these in `uniform_data_` and use `uniform_data_` as the source of truth I realized that the purpose of these "derived metadata" is to simply convert default tensor metadata such sizes, strides, etc. to a form where they can be used in a compute shader. There is no need to store these derived metadata persistently, since they are pretty much only useful in the final `ivec4` form they exist as inside `UniformData`. So to simplify `vTensor` and to reduce the size of the class, I elected to remove these superfluous data members. ## Performance Impact * Potential memory footprint improvement from reducing the size of `vTensor`. ghstack-source-id: 290022826 @exported-using-ghexport Differential Revision: [D76393427](https://our.internmc.facebook.com/intern/diff/D76393427/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11621
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 4 Pending, 3 Unrelated FailuresAs of commit d695359 with merge base 4a14fdd ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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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: #11599 by @SS-JIA
^ 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/SS-JIA/240/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/240/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/240/orig
@diff-train-skip-merge