[ET-VK] Insert prepack nodes for constant primary inputs of prepacking ops#17863
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…g ops The insert_prepack_nodes pass was skipping prepack node insertion for all constant tensor args of ops with supports_prepacking=True. However, these ops only handle prepacking for weight/bias tensors internally; the primary input tensor is still expected to be a GPU tensor. If the primary input happens to be a constant tensor (serialized as TensorRef), the op throws an exception at runtime. Fix this by detecting the primary input index directly in insert_prepack_nodes. Most prepacking ops have the primary input at arg 0, but embedding uses arg 1 since its signature is embedding(weight, indices, ...). The pass now checks whether a constant tensor is used as the primary input of a prepacking op, and if so, still inserts a prepack node for it. Differential Revision: [D95217949](https://our.internmc.facebook.com/intern/diff/D95217949/) ghstack-source-id: 347411473 Pull Request resolved: #17850
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17863
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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: #17850 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/459/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/459/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/458/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/459/orig
Differential Revision: D95217949
@diff-train-skip-merge