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41d35dc201
Summary:
Included functions:
* save_mobile_module -> saves a mobile::Module to flatbuffer
* load_mobile_module_from_file -> loads a flatbuffer into mobile::Module
* parse_mobile_module -> parses from bytes or deserialized flatbuffer
Module object
Fixes #{issue number}
Pull Request resolved: https://github.com/pytorch/pytorch/pull/67351
Reviewed By: iseeyuan
Differential Revision: D32010095
Pulled By: qihqi
fbshipit-source-id: d763b0557780f7c2661b6485105b045e41a5e8f1
55 lines
1.9 KiB
C++
55 lines
1.9 KiB
C++
#pragma once
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#include <ATen/core/ivalue.h>
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#include <caffe2/serialize/inline_container.h>
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#include <torch/csrc/jit/mobile/function.h>
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#include <torch/csrc/jit/mobile/interpreter.h>
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#include <torch/csrc/jit/mobile/module.h>
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#include <torch/csrc/jit/runtime/instruction.h>
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#include <torch/csrc/jit/serialization/mobile_bytecode_generated.h> // NOLINT
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#include <torch/custom_class.h>
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#include <string>
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#include <vector>
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namespace torch {
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namespace jit {
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// On high level, to produce a Module from a file on disk, we need to go
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// through the follow steps:
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// 1. Read: Read the file from disk -> memory
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// 2. Deserialize: Parse the bytes to produce some in memory manipulable
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// structure
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// 3. Module initialization: Produce mobile::Module out of the structure
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// produced in 2.
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// Under this context, the structure described in 2. is
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// mobile::serialization::Module
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// Parse a mobile::Module from flatbuffer's in-memory Module representation.
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// The caller is assumed to manage the lifetimes of Module.
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// This function does step 3 described above.
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TORCH_API mobile::Module initialize_mobile_module(
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mobile::serialization::Module* flatbuffer_module,
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c10::optional<at::Device> device = c10::nullopt);
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// Parse a mobile::Module from raw bytes.
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// ownership of data is shared to the returned Module.
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// (Feel free to pass in a unique_ptr too!)
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// This function does steps 2+3 described above
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TORCH_API mobile::Module parse_and_initialize_mobile_module(
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std::shared_ptr<char> data,
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size_t size,
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c10::optional<at::Device> device = c10::nullopt);
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// Load a mobile::Module from a filepath.
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// This function does steps 1+2+3 described above.
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// We need to have this as a convienience because Python
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// API will need to wrap this. C++ clients should use one
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// versions above.
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TORCH_API mobile::Module load_mobile_module_from_file(
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const std::string& filename,
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c10::optional<at::Device> device = c10::nullopt);
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} // namespace jit
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} // namespace torch
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