op_param.h

/* Copyright (c) 2016 Baidu, Inc. All Rights Reserved.
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The above copyright notice and this permission notice shall be included in all
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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==============================================================================*/

#pragma once;

#include "common/type_define.h"
#include "framework/lod_tensor.h"
#include "framework/scope.h"
#include "framework/tensor.h"
#include "framework/variable.h"

namespace paddle_mobile {
namespace operators {

using namespace framework;

class OpParam : PaddleMobileObject {
 public:
 protected:
  template <typename T>
  static T *InputFrom(const VariableNameMap &inputs, const Scope &scope) {
    return GetVarValue<T>("Input", inputs, scope);
  }

  template <typename T>
  static T *OutputFrom(const VariableNameMap &outputs, const Scope &scope) {
    return GetVarValue<T>("Output", outputs, scope);
  }

  template <typename T>
  static T *FilterFrom(const VariableNameMap &inputs, const Scope &scope) {
    return GetVarValue<T>("Filter", inputs, scope);
  }

  template <typename T>
  static const T GetAttr(std::string key, const AttributeMap &map) {
    return ((Attribute)map.at(key)).Get<T>();
  }

  template <typename T>
  static T *GetVarValue(std::string key, const VariableNameMap &var_map,
                        const Scope &scope) {
    auto var_vec = var_map.at(key);
    if (var_vec.size()) {
      //      std::cout << " get var value -- " << var_vec[0] << std::endl;
      auto var = scope.FindVar(var_vec[0]);
      return var->GetMutable<T>();
    } else {
      return nullptr;
    }
  }
};

class ConvParam : OpParam {
 public:
  ConvParam(const VariableNameMap &inputs, const VariableNameMap &outputs,
            const framework::AttributeMap &attrs,
            const framework::Scope &scope) {
    filter_ = FilterFrom<framework::LoDTensor>(inputs, scope);
    input_ = InputFrom<framework::Tensor>(inputs, scope);
    output_ = OutputFrom<framework::Tensor>(outputs, scope);
    strides_ = GetAttr<std::vector<int>>("strides", attrs);
    paddings_ = GetAttr<std::vector<int>>("paddings", attrs);
    dilations_ = GetAttr<std::vector<int>>("dilations", attrs);
    groups = GetAttr<int>("groups", attrs);
  }

  const Tensor *Input() const { return input_; }

  const LoDTensor *Filter() const { return filter_; }

  Tensor *Output() const { return output_; }

  const std::vector<int> &Strides() const { return strides_; }

  const std::vector<int> &Paddings() const { return paddings_; }

  const std::vector<int> &Dilations() const { return dilations_; }

  const int &Groups() const { return groups; }

 private:
  Tensor *input_;
  Tensor *output_;
  LoDTensor *filter_;
  std::vector<int> strides_;
  std::vector<int> paddings_;
  std::vector<int> dilations_;
  int groups;
};

std::ostream &operator<<(std::ostream &os, const ConvParam &conv_param);

}  // namespace operators
}  // namespace paddle_mobile