pytorch/torch/csrc/jit/serialization/flatbuffer_serializer_jit.cpp

#include <torch/csrc/jit/serialization/flatbuffer_serializer_jit.h>

#ifdef FLATBUFFERS_VERSION_MAJOR
#error "flatbuffer_serializer_jit.h must not include any flatbuffers headers"
#endif // FLATBUFFERS_VERSION_MAJOR

#include <torch/csrc/jit/mobile/file_format.h>
#include <torch/csrc/jit/mobile/flatbuffer_loader.h>
#include <torch/csrc/jit/operator_upgraders/upgraders_entry.h>
#include <torch/csrc/jit/serialization/export.h>
#include <torch/csrc/jit/serialization/export_bytecode.h>
#include <torch/csrc/jit/serialization/flatbuffer_serializer.h>
#include <torch/csrc/jit/serialization/import.h>

namespace torch::jit {

bool register_flatbuffer_all() {
  return true;
}

} // namespace torch::jit
Refractor flatbuffer jit code Pull Request resolved: https://github.com/pytorch/pytorch/pull/75239 Refractor flatbuffer_serializer to move JIT related code to a separate file . Differential Revision: [D35301020](https://our.internmc.facebook.com/intern/diff/D35301020/) NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35301020/)! Approved by: https://github.com/iseeyuan 2022-04-11 16:34:49 +00:00			`#include <torch/csrc/jit/serialization/flatbuffer_serializer_jit.h>`

Remove flatbuffer types/headers from flatbuffer_serializer[_jit].h (#82619) Hide the flatbuffers types and headers from the serialize APIs, and stop using the DEPRECATED functions from flatbuffer_loader.h. This required creating the new `DetachedBuffer` type to replace/hide `flatbuffers::DetachedBuffer`, a class that owns a span of custom-allocated memory. This is another step towards hiding the flatbuffers types and headers from the load/serialize APIs. Differential Revision: [D38292798](https://our.internmc.facebook.com/intern/diff/D38292798/) NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D38292798/)! Pull Request resolved: https://github.com/pytorch/pytorch/pull/82619 Approved by: https://github.com/qihqi 2022-08-04 17:55:09 +00:00			`#ifdef FLATBUFFERS_VERSION_MAJOR`
			`#error "flatbuffer_serializer_jit.h must not include any flatbuffers headers"`
			`#endif // FLATBUFFERS_VERSION_MAJOR`

[BE][flatbuffer] Remove code duplications and refactor (#79184) Summary: Remove code dup in import.cpp / export_modules.cpp such that 1. Only one copy of switching logic (detect flatbuffer / is_flatbuffer); 2. Move detection of includeness of flatbuffer to runtime (so no more macros) This also reverts the dependency of import.cpp -> flatbuffer_loader.cpp to flatbuffer_loader.cpp -> import.cpp. Differential Revision: D36926217 Pull Request resolved: https://github.com/pytorch/pytorch/pull/79184 Approved by: https://github.com/zhxchen17 2022-06-20 16:37:38 +00:00			`#include <torch/csrc/jit/mobile/file_format.h>`
Refractor flatbuffer jit code Pull Request resolved: https://github.com/pytorch/pytorch/pull/75239 Refractor flatbuffer_serializer to move JIT related code to a separate file . Differential Revision: [D35301020](https://our.internmc.facebook.com/intern/diff/D35301020/) NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35301020/)! Approved by: https://github.com/iseeyuan 2022-04-11 16:34:49 +00:00			`#include <torch/csrc/jit/mobile/flatbuffer_loader.h>`
Get rid of ENABLE_UPGRADERS macro (#77574) Since it's been a while after we merged the upgrader design and we haven't encountered any issues, let's get rid of the macro for safe rollout Pull Request resolved: https://github.com/pytorch/pytorch/pull/77574 Approved by: https://github.com/gmagogsfm 2022-08-08 23:23:56 +00:00			`#include <torch/csrc/jit/operator_upgraders/upgraders_entry.h>`
Refractor flatbuffer jit code Pull Request resolved: https://github.com/pytorch/pytorch/pull/75239 Refractor flatbuffer_serializer to move JIT related code to a separate file . Differential Revision: [D35301020](https://our.internmc.facebook.com/intern/diff/D35301020/) NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35301020/)! Approved by: https://github.com/iseeyuan 2022-04-11 16:34:49 +00:00			`#include <torch/csrc/jit/serialization/export.h>`
			`#include <torch/csrc/jit/serialization/export_bytecode.h>`
			`#include <torch/csrc/jit/serialization/flatbuffer_serializer.h>`
			`#include <torch/csrc/jit/serialization/import.h>`

[BE] Use nested namespaces in .cpp/.cu files (#92100) As we live in C++17 world This is a functional no-op, just - `s/namespace at { namespace native {/namespace at::native {/` - `s/namespace torch { namespace jit {/namespace torch::jit {/` Pull Request resolved: https://github.com/pytorch/pytorch/pull/92100 Approved by: https://github.com/izaitsevfb 2023-01-13 16:32:30 +00:00			`namespace torch::jit {`
Refractor flatbuffer jit code Pull Request resolved: https://github.com/pytorch/pytorch/pull/75239 Refractor flatbuffer_serializer to move JIT related code to a separate file . Differential Revision: [D35301020](https://our.internmc.facebook.com/intern/diff/D35301020/) NOTE FOR REVIEWERS: This PR has internal Facebook specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D35301020/)! Approved by: https://github.com/iseeyuan 2022-04-11 16:34:49 +00:00
[BE][flatbuffer] Remove code duplications and refactor (#79184) Summary: Remove code dup in import.cpp / export_modules.cpp such that 1. Only one copy of switching logic (detect flatbuffer / is_flatbuffer); 2. Move detection of includeness of flatbuffer to runtime (so no more macros) This also reverts the dependency of import.cpp -> flatbuffer_loader.cpp to flatbuffer_loader.cpp -> import.cpp. Differential Revision: D36926217 Pull Request resolved: https://github.com/pytorch/pytorch/pull/79184 Approved by: https://github.com/zhxchen17 2022-06-20 16:37:38 +00:00			`bool register_flatbuffer_all() {`
			`return true;`
			`}`

[BE] Use nested namespaces in .cpp/.cu files (#92100) As we live in C++17 world This is a functional no-op, just - `s/namespace at { namespace native {/namespace at::native {/` - `s/namespace torch { namespace jit {/namespace torch::jit {/` Pull Request resolved: https://github.com/pytorch/pytorch/pull/92100 Approved by: https://github.com/izaitsevfb 2023-01-13 16:32:30 +00:00			`} // namespace torch::jit`