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[executorch][runtime] Add get_named_data_map to Program #8853
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Add to the program interface, to allow users to retrieve the NDM. Differential Revision: [D70276106](https://our.internmc.facebook.com/intern/diff/D70276106/) [ghstack-poisoned]
lucylq
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Add to the program interface, to allow users to retrieve the NDM. Differential Revision: [D70276106](https://our.internmc.facebook.com/intern/diff/D70276106/) ghstack-source-id: 269083551 Pull Request resolved: #8853
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8853
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 813a1ff with merge base 2ee3ffa ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This pull request was exported from Phabricator. Differential Revision: D70276106 |
Add to the program interface, to allow users to retrieve the NDM. Differential Revision: [D70276106](https://our.internmc.facebook.com/intern/diff/D70276106/) [ghstack-poisoned]
This was referenced Mar 4, 2025
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* [executorch][runtime] Introduce PteDataMap for weight sharing Pull Request resolved: #8887 PteDataMap is the NamedDataMap that will live in the runtime. It is used to give delegates access to opaque named data stored in the PTE file. Open to alternative naming suggestions, maybe 'PTEDataMap' or 'ProgramDataMap'? **Usage** The PteDataMap is owned by the program, and instantiated at program load time if named_data exists in the PTE file. We introduce usage of 'std::optional' here. I think we can also use executorch::aten::optional to avoid adding standard lib ? When initializing delegates, the PteDataMap is given to delegate_init. Delegates can retrieve opaque delegate data by key using 'get_data'. This gives them a FreeableBuffer that they can free later. **Testing** This test uses the C++ flatbuffer API to build a fake program containing named data. We also creates a temp file with sample data that the data loader can wrap around. TODO: e2e test once delegate aot is ready and we can generate a file with named data. **Note** As the PteDataMap wraps around flatbuffer constructs, the Program must outlive the PteDataMap. PteDataMap does not implement - get_metadata; currently, all data stored is opaque. Later, we can implement get_metadata if a backend stores plain tensor data. - load_into; this is mostly used for the training case, and isn't used by delegates, at least not at the moment Differential Revision: [D70213646](https://our.internmc.facebook.com/intern/diff/D70213646/) ghstack-source-id: 269691307 * [executorch][runtime] Add get_named_data_map to Program Pull Request resolved: #8853 Add to the program interface, to allow users to retrieve the NDM. Differential Revision: [D70276106](https://our.internmc.facebook.com/intern/diff/D70276106/) ghstack-source-id: 269693108 --------- Co-authored-by: lucylq <lfq@meta.com>
zonglinpeng
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* [executorch][runtime] Introduce PteDataMap for weight sharing Pull Request resolved: #8887 PteDataMap is the NamedDataMap that will live in the runtime. It is used to give delegates access to opaque named data stored in the PTE file. Open to alternative naming suggestions, maybe 'PTEDataMap' or 'ProgramDataMap'? **Usage** The PteDataMap is owned by the program, and instantiated at program load time if named_data exists in the PTE file. We introduce usage of 'std::optional' here. I think we can also use executorch::aten::optional to avoid adding standard lib ? When initializing delegates, the PteDataMap is given to delegate_init. Delegates can retrieve opaque delegate data by key using 'get_data'. This gives them a FreeableBuffer that they can free later. **Testing** This test uses the C++ flatbuffer API to build a fake program containing named data. We also creates a temp file with sample data that the data loader can wrap around. TODO: e2e test once delegate aot is ready and we can generate a file with named data. **Note** As the PteDataMap wraps around flatbuffer constructs, the Program must outlive the PteDataMap. PteDataMap does not implement - get_metadata; currently, all data stored is opaque. Later, we can implement get_metadata if a backend stores plain tensor data. - load_into; this is mostly used for the training case, and isn't used by delegates, at least not at the moment Differential Revision: [D70213646](https://our.internmc.facebook.com/intern/diff/D70213646/) ghstack-source-id: 269691307 * [executorch][runtime] Add get_named_data_map to Program Pull Request resolved: #8853 Add to the program interface, to allow users to retrieve the NDM. Differential Revision: [D70276106](https://our.internmc.facebook.com/intern/diff/D70276106/) ghstack-source-id: 269693108 --------- Co-authored-by: lucylq <lfq@meta.com>
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release notes: runtime
Changes related to the core runtime which loads the program methods, initializes delegates, and runs
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Add to the program interface, to allow users to retrieve the NDM.
Differential Revision: D70276106