grad_op_desc_maker.h 6.5 KB
Newer Older
X
xiexionghang 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194
/* Copyright (c) 2016 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. */

#pragma once
#include <algorithm>
#include <memory>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>
#include "paddle/fluid/framework/op_desc.h"
#include "paddle/fluid/framework/operator.h"

namespace paddle {
namespace framework {

/*
  This functor class is responsible for creating the gradient ops for the given
  operator fwd_op. After it is called (through operator()), the pairs of
  (gradient variable, corresponding input variable of fwd_op) will be added to
  grad_to_var. If an input variable of fwd_op is contained in no_grad_set, its
  gradient varialbe will be ignored or kEmptyVarName depending on the template
  argument DropEmptyIG in the derived classes.
 */
class GradOpDescMakerBase {
 public:
  explicit GradOpDescMakerBase(
      const OpDesc& fwd_op, const std::unordered_set<std::string>& no_grad_set,
      std::unordered_map<std::string, std::string>* grad_to_var,
      const std::vector<BlockDesc*>& grad_block = std::vector<BlockDesc*>())
      : fwd_op_(fwd_op),
        no_grad_set_(no_grad_set),
        grad_to_var_(grad_to_var),
        grad_block_(grad_block) {}

  virtual ~GradOpDescMakerBase() = default;
  virtual std::vector<std::unique_ptr<OpDesc>> operator()() const = 0;

 protected:
  std::vector<std::string> InputGrad(const std::string& name,
                                     bool drop_empty_grad = true) const {
    std::vector<std::string> ret_val;
    auto var_names = this->Input(name);
    ret_val.reserve(var_names.size());
    std::transform(var_names.begin(), var_names.end(),
                   std::back_inserter(ret_val),
                   [this](const std::string& fwd_var_name) -> std::string {
                     auto g_name = GradVarName(fwd_var_name);
                     if (no_grad_set_.empty() || !no_grad_set_.count(g_name)) {
                       (*this->grad_to_var_)[g_name] = fwd_var_name;
                       return g_name;
                     } else {
                       return kEmptyVarName;
                     }
                   });
    if (!drop_empty_grad) {
      return ret_val;
    }
    PADDLE_ENFORCE_LE(var_names.size(), 1UL,
                      "BUG from operator developer:"
                      " for input argument with a list of variables, "
                      " drop_empty_grad is not allowed because it makes"
                      " the correspondence bewteen a variable and its gradient"
                      " ambiguous."
                      " Op type %s",
                      fwd_op_.Type());

    std::vector<std::string> dropped_ret_val;
    dropped_ret_val.reserve(ret_val.size());
    std::copy_if(ret_val.begin(), ret_val.end(),
                 std::back_inserter(dropped_ret_val),
                 [](const std::string& str) { return str != kEmptyVarName; });
    return dropped_ret_val;
  }

  std::vector<std::string> OutputGrad(const std::string& name) const {
    std::vector<std::string> ret_val;
    auto onames = this->Output(name);
    ret_val.reserve(onames.size());
    std::transform(onames.begin(), onames.end(), std::back_inserter(ret_val),
                   [this](const std::string& fwd_var_name) -> std::string {
                     auto g_name = GradVarName(fwd_var_name);
                     (*this->grad_to_var_)[g_name] = fwd_var_name;
                     return g_name;
                   });
    return ret_val;
  }

  std::vector<std::string> InputNames() const {
    return this->fwd_op_.InputNames();
  }

  std::vector<std::string> OutputNames() const {
    return this->fwd_op_.OutputNames();
  }

  std::vector<std::string> Input(const std::string& name) const {
    return fwd_op_.Input(name);
  }

  std::vector<std::string> Output(const std::string& name) const {
    return fwd_op_.Output(name);
  }

  const std::unordered_map<std::string, Attribute>& Attrs() const {
    return fwd_op_.GetAttrMap();
  }

  const Attribute& GetAttr(const std::string& name) const {
    auto& map = fwd_op_.GetAttrMap();
    auto it = map.find(name);
    PADDLE_ENFORCE(it != map.end(), "Cannot find attribute %s", name);
    return it->second;
  }

  template <typename T>
  inline const T& Attr(const std::string& name) const {
    return boost::get<T>(GetAttr(name));
  }

  std::string ForwardOpType() const { return this->fwd_op_.Type(); }

 protected:
  const OpDesc& ForwardOp() const { return fwd_op_; }

 private:
  const OpDesc& fwd_op_;
  const std::unordered_set<std::string>& no_grad_set_;
  std::unordered_map<std::string, std::string>* grad_to_var_;

 protected:
  std::vector<BlockDesc*> grad_block_;
};

class SingleGradOpDescMaker : public GradOpDescMakerBase {
 public:
  using GradOpDescMakerBase::GradOpDescMakerBase;

  std::vector<std::unique_ptr<OpDesc>> operator()() const final {
    std::vector<std::unique_ptr<OpDesc>> retv;
    retv.emplace_back(this->Apply());
    return retv;
  }

 protected:
  virtual std::unique_ptr<OpDesc> Apply() const = 0;
};

template <bool DropEmptyIG = true>
class DefaultGradOpDescMaker final : public SingleGradOpDescMaker {
 public:
  using SingleGradOpDescMaker::SingleGradOpDescMaker;

 protected:
  std::unique_ptr<OpDesc> Apply() const final {
    auto* grad = new OpDesc();
    grad->SetType(this->ForwardOpType() + "_grad");

    for (auto& input_param : this->InputNames()) {
      grad->SetInput(input_param, this->Input(input_param));
      grad->SetOutput(GradVarName(input_param),
                      this->InputGrad(input_param, DropEmptyIG));
    }

    for (auto& output_param : this->OutputNames()) {
      grad->SetInput(output_param, this->Output(output_param));
      grad->SetInput(GradVarName(output_param), this->OutputGrad(output_param));
    }

    grad->SetAttrMap(this->Attrs());

    return std::unique_ptr<OpDesc>(grad);
  }
};

class EmptyGradOpMaker final : public GradOpDescMakerBase {
 public:
  using GradOpDescMakerBase::GradOpDescMakerBase;
  std::vector<std::unique_ptr<OpDesc>> operator()() const final { return {}; }
};

}  // namespace framework
}  // namespace paddle