Pass one NDM to backend init#10669
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Pull Request resolved: #10527 Currently flat_tensor ndm only accounts for tensors in get_data, get_num_keys, get_key functions. Add support to return named_data values as well. TODO:consolidate tensors and named_data into one structure in the flatbuffer. This will simplify all the serialization and runtime code. ghstack-source-id: 280786211 Differential Revision: [D73679683](https://our.internmc.facebook.com/intern/diff/D73679683/)
Pull Request resolved: #10528 Take external NDM if it exists, otherwise internal. Note: by default, xnnpack uses the named_data_map. Constants are not stored with the delegated blob anymore. ghstack-source-id: 281215638 Differential Revision: [D73679710](https://our.internmc.facebook.com/intern/diff/D73679710/)
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10669
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 2 New FailuresAs of commit 333b729 with merge base 4524838 ( NEW FAILURES - The following jobs have failed:
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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: #10528 by @lucylq
^ 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/lucylq/69/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/lucylq/69/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/lucylq/69/orig
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