[ET-VK] Implementation of to_dim_order_copy #15677
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Pull Request resolved: #15619 Title says it all! Previously, to_dim_order_copy was handled by removing the op. However, this is not possible if the op is modifying the dtype of the original tensor, so these instances of the op would be skipped by the partitioner. This diff adds an implementation dtype conversion, which allows to_dim_order_copy to be lowered. ghstack-source-id: 321555048 @exported-using-ghexport Differential Revision: [D86340341](https://our.internmc.facebook.com/intern/diff/D86340341/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15677
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 133 PendingAs of commit ef3e85a with merge base d361573 ( 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: #15619 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/355/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/355/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/355/orig
Differential Revision: D86340341
@diff-train-skip-merge