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#pragma once
#include <torch/csrc/jit/mobile/module.h>
namespace torch::jit {
/**
* Serializes the provided tensor map to the provided stream.
*
* @param[in] map The tensors to serialize.
* @param[in] out The stream to write the serialized data to.
* @param[in] use_flatbuffer If true, use Flatbuffers to serialize the data.
* If false, use Pickle.
*/
TORCH_API void _save_parameters(
const std::map<std::string, at::Tensor>& map,
std::ostream& out,
bool use_flatbuffer = false);
/**
* Serializes the provided tensor map to a file.
*
* @param[in] map The tensors to serialize.
* @param[in] filename The stem of the file name to write to. If
* @p use_flatbuffer is false, the extension ".pkl" will be appended. If
* @p use_flatbuffer is true, the extension ".ff" will be appended.
* @param[in] use_flatbuffer If true, use Flatbuffers to serialize the data.
* If false, use Pickle.
*/
TORCH_API void _save_parameters(
const std::map<std::string, at::Tensor>& map,
const std::string& filename,
bool use_flatbuffer = false);
namespace mobile {
// NOTE: Please prefer using _save_parameters directly over using the 2
// functions below.
TORCH_API mobile::Module tensor_dict_to_mobile(
const c10::Dict<std::string, at::Tensor>& dict);
c10::Dict<std::string, at::Tensor> tensor_map_to_dict(
const std::map<std::string, at::Tensor>& map);
} // namespace mobile
extern void (*_save_mobile_module_to)(
const mobile::Module& module,
const std::function<size_t(const void*, size_t)>& writer_func);
} // namespace torch::jit
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