[ET-VK] Re-implement (de)quantize_per_tensor.default #15753
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15753
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 26 PendingAs of commit 3c00cec with merge base a44f68d ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Re-implement the `quantized_decomposed.(de)quantize_per_tensor.default` ops with `add_quantize_and_pack_4w4c_node` As a consequence, the `et_vk.quantize_q8ta_for_conv2d.default` and `et_vk.dequantize_q8to_from_conv2d.default` ops are not needed anymore. The overall goal is to streamline the quantize/dequantize interface in ET-VK. Differential Revision: [D86702457](https://our.internmc.facebook.com/intern/diff/D86702457/) ghstack-source-id: 322214458 Pull Request resolved: #15721
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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: #15721 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/367/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/367/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/366/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/367/orig
Differential Revision: D86702457
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