loader.cpp

/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */

#include "loader.h"

#include "framework/lod_tensor.h"
#include "framework/program/program-optimize/program_optimize.h"
#ifdef PADDLE_MOBILE_CL
#include "framework/cl/cl_image.h"
#endif

namespace paddle_mobile {
namespace framework {

/**
 * muteandresize tensor as originProgramDesc and scope in loadParams
 *
 * @param originProgramDesc
 * @param scope
 */
template<typename Dtype, Precision P>
void Loader<Dtype, P>::InitMemoryFromProgram(
        std::shared_ptr<ProgramDesc> &originProgramDesc,
        std::shared_ptr<Scope> &scope) {
  for (const auto &block : originProgramDesc.get()->Blocks()) {
    for (const auto &var_desc : block->Vars()) {
      auto var = scope.get()->Var(var_desc->Name());
      if (var_desc->Type() == VARTYPE_TYPE_LOD_TENSOR) {
        if (var_desc->Persistable()) {
          auto dim = var_desc->Tensor_desc().Dims();
          auto tensor = var->GetMutable<LoDTensor>();
          tensor->Resize(make_ddim(dim));
        } else {
          auto dim = var_desc->Tensor_desc().Dims();
          PADDLE_MOBILE_ENFORCE(dim.size() > 0, "dim size is 0");
          dim[0] = 1;
          auto tensor = var->GetMutable<LoDTensor>();
          tensor->Resize(make_ddim(dim));
        }
      } else {
        // TODO(codeWorm): some.
      }
    }
  }
}

#ifdef PADDLE_MOBILE_CL
        template<>
        void Loader<GPU_CL, Precision::FP32>::InitMemoryFromProgram(
                std::shared_ptr<ProgramDesc> &originProgramDesc,
                std::shared_ptr<Scope> &scope) {
          for (const auto &block : originProgramDesc.get()->Blocks()) {
            for (const auto &var_desc : block->Vars()) {
              auto var = scope.get()->Var(var_desc->Name());
              if (var_desc->Type() == VARTYPE_TYPE_LOD_TENSOR) {
                if (var_desc->Persistable()) {
                  auto dim = var_desc->Tensor_desc().Dims();
//              auto tensor = var->GetMutable<LoDTensor>();
                  auto cl_image = var->GetMutable<framework::CLImage>();
                  cl_image->Resize(make_ddim(dim));
                } else {
                  auto dim = var_desc->Tensor_desc().Dims();
                  PADDLE_MOBILE_ENFORCE(dim.size() > 0, "dim size is 0");
                  dim[0] = 1;
                  auto cl_image = var->GetMutable<framework::CLImage>();
                  cl_image->Resize(make_ddim(dim));
                }
              } else {
                // TODO(codeWorm): some.
              }
            }
          }
        }
#endif

/**
 * fusion and print someinfos
 * @tparam Dtype
 * @tparam P
 * @param optimize
 * @param can_add_split
 * @param program
 * @param originProgramDesc
 */
template<typename Dtype, Precision P>
void FusionAndPrintInfos(
        bool &optimize, bool &can_add_split, Program<Dtype, P> &program,
        const std::shared_ptr<ProgramDesc> &originProgramDesc) {
  if (optimize) {
    ProgramOptimize program_optimize;
    program.optimizeProgram =
            program_optimize.FusionOptimize(originProgramDesc, can_add_split);
  }
  if (optimize) {
    program.optimizeProgram->Description("optimize: ");
  } else {
    originProgramDesc->Description("program: ");
  }
}

static size_t ReadBuffer(const char *file_name, uint8_t **out) {
  FILE *fp;
  fp = fopen(file_name, "rb");
  PADDLE_MOBILE_ENFORCE(fp != NULL, " %s open failed !", file_name);

  fseek(fp, 0, SEEK_END);
  size_t size = ftell(fp);
  rewind(fp);

  DLOG << "model size: " << size;

  *out = reinterpret_cast<uint8_t *>(malloc(size));

  size_t cur_len = 0;
  size_t nread;
  while ((nread = fread(*out + cur_len, 1, size - cur_len, fp)) != 0) {
    cur_len += nread;
  }
  fclose(fp);
  return cur_len;
}

template<typename Dtype, Precision P>
const Program<Dtype, P> Loader<Dtype, P>::Load(
        const std::string &dirname, bool optimize, bool quantification,
        bool can_add_split) {
  auto program = this->LoadProgram(dirname + "/__model__", optimize,
                                   quantification, can_add_split);
  program.model_path = dirname;
  return program;
}

template<typename Dtype, Precision P>
const Program<Dtype, P> Loader<Dtype, P>::Load(
        const std::string &model_path, const std::string &para_path, bool optimize,
        bool quantification) {
  auto program = this->LoadProgram(model_path, optimize, quantification);

  program.para_path = para_path;
  program.combined = true;
  program.quantification = quantification;
  return program;
}

template<typename Dtype, Precision P>
const Program<Dtype, P> Loader<Dtype, P>::LoadProgram(
        const std::string &model_path, bool optimize, bool quantification,
        bool can_add_split) {
  std::string model_filename = model_path;
  PaddleMobile__Framework__Proto__ProgramDesc *c_program;
  uint8_t *buf = NULL;
  size_t read_size = ReadBuffer(model_filename.c_str(), &buf);

  PADDLE_MOBILE_ENFORCE(buf != NULL, "read from __model__ is null");

  c_program = paddle_mobile__framework__proto__program_desc__unpack(
          NULL, read_size, buf);
  //
  PADDLE_MOBILE_ENFORCE(c_program != NULL, "program is null");
  //
  DLOG << "n_ops: " << (*c_program->blocks)->n_ops;
  //
  auto originProgramDesc = std::make_shared<ProgramDesc>(c_program);

  Program<Dtype, P> program;
  program.originProgram = originProgramDesc;
  program.quantification = quantification;
  program.combined_params_len = 0;
  program.combined_params_buf = nullptr;
  auto scope = std::make_shared<Scope>();
  program.scope = scope;

  // use  originProgramDesc and scope to init tensors
  InitMemoryFromProgram(originProgramDesc, scope);
  // perform fusion and print infos
  FusionAndPrintInfos(optimize, can_add_split, program, originProgramDesc);

  paddle_mobile__framework__proto__program_desc__free_unpacked(c_program, NULL);
  return program;
}

template<typename Dtype, Precision P>
const Program<Dtype, P> Loader<Dtype, P>::LoadCombinedMemory(
        size_t read_size, const uint8_t *buf, size_t combined_params_len,
        const uint8_t *combined_params_buf, bool optimize, bool quantification) {
  bool can_add_split = false;

  PaddleMobile__Framework__Proto__ProgramDesc *c_program;
  PADDLE_MOBILE_ENFORCE(buf != nullptr, "read from __model__ is null");

  c_program = paddle_mobile__framework__proto__program_desc__unpack(
          nullptr, read_size, buf);
  //
  PADDLE_MOBILE_ENFORCE(c_program != nullptr, "program is null");
  //
  DLOG << "n_ops: " << (*c_program->blocks)->n_ops;
  //

  auto originProgramDesc = std::make_shared<ProgramDesc>(c_program);

  Program<Dtype, P> program;
  program.combined = true;
  program.originProgram = originProgramDesc;
  program.quantification = quantification;
  program.combined_params_len = combined_params_len;
  program.combined_params_buf = combined_params_buf;

  auto scope = std::make_shared<Scope>();
  program.scope = scope;
  InitMemoryFromProgram(originProgramDesc, scope);
  FusionAndPrintInfos(optimize, can_add_split, program, originProgramDesc);
  paddle_mobile__framework__proto__program_desc__free_unpacked(c_program,
                                                               nullptr);
  return program;
}

template
class Loader<CPU, Precision::FP32>;

template
class Loader<FPGA, Precision::FP32>;

template
class Loader<GPU_MALI, Precision::FP32>;

template
class Loader<GPU_CL, Precision::FP32>;

}
}  // namespace paddle_mobile