[ET-VK] Update partitioner to account for custom packed arguments #6763
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## Problem Convolution operators, especially for pointwise convolution, may have sizes like ``` W=1, H=1, C=320, N=1280 ``` When represented as a texture, this tensor would normally require a texture with extents ``` (1, 1, 320 / 4 * 1280 = 102400) ``` which would normally exceed texture limits. The new partitioner system detects this and prevents nodes with similar weights from being lowered to Vulkan. However, the partitioner system does not account for the fact that the operator implementation uses a specialized prepacking algorithm which results in valid texture limits for the packed weights. ## Changes * Add field to `OpFeatures` class to annotate that some arguments in an op should be skipped when checking against texture limits * Update metadata tagging pass to ignore annotating constant tensor nodes so that they don't influence memory layout and storage type proposals. Without this change, the tagging pass will try to use buffer storage for the pointwise convolution since the weight can only be represented as a buffer under normal circumstances. Differential Revision: [D65759236](https://our.internmc.facebook.com/intern/diff/D65759236/) ghstack-source-id: 252885980 Pull Request resolved: #6753
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6763
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit dcce9da with merge base 793f17e ( 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: #6753
^ 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/140/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/140/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/140/orig
@diff-train-skip-merge