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Differential Revision: D63206258 This diff introduces a mechanism to generate a json-compatible deserializer in cpp using nlohmann json (already being used by AOTI). Why we need this? Because there will be a lot of cases where people don't want to use Python to load the graph (e.g. cpp runtime), and instead they can use this header to deserialize the JSON graph. Every time we call update_schema.py to update the schema, the header will be auto generated and included into the source files. Pull Request resolved: https://github.com/pytorch/pytorch/pull/136398 Approved by: https://github.com/angelayi
Note [TH abstraction violation] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ TH/THC provide some hpp headers, which are proper C++ headers rather than C headers. These headers serve double duty as *internal implementation detail* headers, whose contents should largely not be used by external clients. Ideally, we would not install these headers at all; instead, you should use public functions (in headers like `THTensor.h`, NOT `THTensor.hpp`) to manipulate these structs. However, there are a few places in torch/csrc where we violate this abstraction. They are marked with a pointer to this note. Each of those sites will have to be refactored when we refactor the guts of THTensor and related structures.