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[executorch][runtime] Introduce CoreDataMap for weight sharing #8848
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    CoreDataMap 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 CoreDataMap 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 CoreDataMap 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 CoreDataMap wraps around flatbuffer constructs, the Program must outlive the CoreDataMap. CoreDataMap 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-poisoned]
| 🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8848
 Note: Links to docs will display an error until the docs builds have been completed. ❌ 36 New FailuresAs of commit 02362f1 with merge base 4df0ade ( NEW FAILURES - The following jobs have failed:
 
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CoreDataMap 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 CoreDataMap 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 CoreDataMap 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 CoreDataMap wraps around flatbuffer constructs, the Program must outlive the CoreDataMap. CoreDataMap 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: 269080307 Pull Request resolved: #8848
| This pull request was exported from Phabricator. Differential Revision: D70213646 | 
…ring" CoreDataMap 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 CoreDataMap 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 CoreDataMap 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 CoreDataMap wraps around flatbuffer constructs, the Program must outlive the CoreDataMap. CoreDataMap 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-poisoned]
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Pull Request resolved: pytorch/executorch#8848 CoreDataMap 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 CoreDataMap 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 CoreDataMap 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 CoreDataMap wraps around flatbuffer constructs, the Program must outlive the CoreDataMap. CoreDataMap 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: 269080307
  
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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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Stack from ghstack (oldest at bottom):
CoreDataMap 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 CoreDataMap 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 CoreDataMap 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 CoreDataMap wraps around flatbuffer constructs, the Program must outlive the CoreDataMap.
CoreDataMap does not implement
Differential Revision: D70213646