Back out "[pytorch][PR] Add ability for a mobile::Module to save as flatbuffer" (#69796)

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69796

(Note: this ignores all push blocking failures!)

Test Plan: External CI + Sandcastle

Reviewed By: zhxchen17

Differential Revision: D33032671

fbshipit-source-id: dbf6690e960e25d6a5f19043cbe792add2acd7ef

torch/csrc/jit/mobile/flatbuffer_loader.h

@@ -1,54 +0,0 @@
-#pragma once
-
-#include <ATen/core/ivalue.h>
-#include <caffe2/serialize/inline_container.h>
-#include <torch/csrc/jit/mobile/function.h>
-#include <torch/csrc/jit/mobile/interpreter.h>
-#include <torch/csrc/jit/mobile/module.h>
-#include <torch/csrc/jit/runtime/instruction.h>
-#include <torch/csrc/jit/serialization/mobile_bytecode_generated.h> // NOLINT
-#include <torch/custom_class.h>
-
-#include <string>
-#include <vector>
-
-namespace torch {
-namespace jit {
-
-// On high level, to produce a Module from a file on disk, we need to go
-// through the follow steps:
-// 1. Read: Read the file from disk -> memory
-// 2. Deserialize: Parse the bytes to produce some in memory manipulable
-//    structure
-// 3. Module initialization: Produce mobile::Module out of the structure
-//    produced in 2.
-// Under this context, the structure described in 2. is
-// mobile::serialization::Module
-
-// Parse a mobile::Module from flatbuffer's in-memory Module representation.
-// The caller is assumed to manage the lifetimes of Module.
-// This function does step 3 described above.
-TORCH_API mobile::Module initialize_mobile_module(
-    mobile::serialization::Module* flatbuffer_module,
-    c10::optional<at::Device> device = c10::nullopt);
-
-// Parse a mobile::Module from raw bytes.
-// ownership of data is shared to the returned Module.
-// (Feel free to pass in a unique_ptr too!)
-// This function does steps 2+3 described above
-TORCH_API mobile::Module parse_and_initialize_mobile_module(
-    std::shared_ptr<char> data,
-    size_t size,
-    c10::optional<at::Device> device = c10::nullopt);
-
-// Load a mobile::Module from a filepath.
-// This function does steps 1+2+3 described above.
-// We need to have this as a convienience because Python
-// API will need to wrap this. C++ clients should use one
-// versions above.
-TORCH_API mobile::Module load_mobile_module_from_file(
-    const std::string& filename,
-    c10::optional<at::Device> device = c10::nullopt);
-
-} // namespace jit
-} // namespace torch