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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/37251 This was broken by recent changes to how we serialize with type tags. We save a name (like `Dict[str, MyNamedTuple]`) and then relied on the mobile type parser to resolve that name back into a set of types. This doesn't work for any NamedTypes as the mobile type parser doesn't know how to resolve those. The unpickler allows the caller to inject a type resolver in for this purpose, use that so that when importing in a non-mobile environment you get the right results. A second problem also had to be fixed: the SourceImporter type loader would only load named types directly (e.g. `MyNamedTuple`) and choked if it was a general type that contained a named tupe (e.g. `List[MyNamedTuple]`). Fixed that and renamed `loadNamedType` to `loadType` for clarity. Test Plan: Imported from OSS Differential Revision: D21235213 Pulled By: suo fbshipit-source-id: 16db0f4c5e91a890d67a8687cc8ababa6b94b0f4 |
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| tensorexpr | ||
| __init__.py | ||