dygraph_grad_maker.h

// Copyright (c) 2019 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 <memory>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>

#include "paddle/fluid/imperative/layer.h"
#include "paddle/fluid/imperative/type_defs.h"
#include "paddle/fluid/platform/enforce.h"
#include "paddle/fluid/platform/macros.h"

namespace paddle {
namespace imperative {

enum TracedVarRole { kForward = 0, kBackward = 1 };

template <typename T, TracedVarRole kRole>
class TracedVarList : public std::vector<std::shared_ptr<T>> {
 private:
  using BaseClass = std::vector<std::shared_ptr<T>>;

 public:
  using BaseClass::BaseClass;
};

class GradOpBaseMakerBase {
 public:
  explicit GradOpBaseMakerBase(const std::string& type,
                               const NameVarBaseMap& var_base_map_in,
                               const NameVarBaseMap& var_base_map_out,
                               const framework::AttributeMap& attrs)
      : type_(type),
        var_base_map_in_(var_base_map_in),
        var_base_map_out_(var_base_map_out),
        attrs_(attrs) {}

  virtual ~GradOpBaseMakerBase() = default;
  virtual std::vector<std::shared_ptr<OpBase>> operator()() const = 0;

  static std::shared_ptr<OpBase> CreateOp() {
    return std::make_shared<OpBase>();
  }

  TracedVarList<VarBase, TracedVarRole::kBackward> InputGrad(
      const std::string& name, bool drop_empty_grad = true) const {
    return GetVarBaseList<TracedVarRole::kBackward>(name, /*is_input=*/true);
  }

  TracedVarList<VarBase, TracedVarRole::kBackward> OutputGrad(
      const std::string& name) const {
    return GetVarBaseList<TracedVarRole::kBackward>(name, /*is_input=*/false);
  }

  TracedVarList<VarBase, TracedVarRole::kForward> Input(
      const std::string& name) const {
    return GetVarBaseList<TracedVarRole::kForward>(name, /*is_input=*/true);
  }

  TracedVarList<VarBase, TracedVarRole::kForward> Output(
      const std::string& name) const {
    return GetVarBaseList<TracedVarRole::kForward>(name, /*is_input=*/false);
  }

  static TracedVarList<VarBase, TracedVarRole::kForward> EmptyInput() {
    return {};
  }

  static TracedVarList<VarBase, TracedVarRole::kForward> EmptyOutput() {
    return {};
  }

  static TracedVarList<VarBase, TracedVarRole::kBackward> EmptyOutputGrad() {
    return {};
  }

  static TracedVarList<VarBase, TracedVarRole::kBackward> EmptyInputGrad() {
    return {};
  }

  std::vector<std::string> InputNames() const {
    std::vector<std::string> vec_temp;
    vec_temp.reserve(var_base_map_in_.size());
    for (auto& it : var_base_map_in_) {
      vec_temp.emplace_back(it.first);
    }
    return vec_temp;
  }

  std::vector<std::string> OutputNames() const {
    std::vector<std::string> vec_temp;
    vec_temp.reserve(var_base_map_out_.size());
    for (auto& it : var_base_map_out_) {
      vec_temp.emplace_back(it.first);
    }
    return vec_temp;
  }

  const framework::AttributeMap& Attrs() const { return attrs_; }

  const framework::Attribute& GetAttr(const std::string& name) const {
    auto it = attrs_.find(name);
    PADDLE_ENFORCE_EQ(
        it != attrs_.end(), true,
        platform::errors::NotFound(
            "Cannot find attribute [%s] in operator [%s]", name, type_));
    return it->second;
  }

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

  const std::string& ForwardOpType() const { return type_; }

 protected:
  bool HasInput(const std::string& name) const {
    return var_base_map_in_.count(name) > 0;
  }

  bool HasOutput(const std::string& name) const {
    return var_base_map_out_.count(name) > 0;
  }

 private:
  template <TracedVarRole kRole>
  TracedVarList<VarBase, kRole> GetVarBaseList(const std::string& name,
                                               bool is_input) const {
    const auto& data_map = is_input ? var_base_map_in_ : var_base_map_out_;
    auto iterator = data_map.find(name);

    TracedVarList<VarBase, kRole> vec_temp;
    if (iterator != data_map.end()) {
      vec_temp.reserve(iterator->second.size());

      for (auto& var_base_temp : iterator->second) {
        if (kRole == TracedVarRole::kBackward) {
          if (!var_base_temp->HasGradVar()) {
            VLOG(6) << "GradVarBase of var " << var_base_temp->Name()
                    << " in OP " << type_ << " is null";
            var_base_temp->MutableGradVarBase();
          }
          auto grad_var_base_tmp = var_base_temp->GradVarBase();

          if (!is_input) {
            auto* tensor = grad_var_base_tmp->MutableVar()
                               ->GetMutable<framework::LoDTensor>();
            tensor->Resize(
                var_base_temp->Var().Get<framework::LoDTensor>().dims());
          }
          vec_temp.emplace_back(grad_var_base_tmp);
        } else {
          vec_temp.emplace_back(var_base_temp);
        }
      }
    }

    return vec_temp;
  }

 private:
  const std::string& type_;
  const NameVarBaseMap& var_base_map_in_;
  const NameVarBaseMap& var_base_map_out_;
  const framework::AttributeMap& attrs_;
};

class TracedGradOp {
  DISABLE_COPY_AND_ASSIGN(TracedGradOp);

 public:
  explicit TracedGradOp(const std::shared_ptr<OpBase>& op) : op_(op) {}

  ~TracedGradOp() {
    op_->SetGradPendingOps(
        {grad_pending_ops_.begin(), grad_pending_ops_.end()});
    op_->CheckAttrs();
  }

  template <TracedVarRole kRole>
  void SetInput(const std::string& name,
                const TracedVarList<VarBase, kRole>& vars) {
    if (kRole == TracedVarRole::kBackward) {
      for (auto& var : vars) {
        var->AddGradOp(op_);
      }
    }
    op_->SetInput(name, ToVarWrapperList(vars));
  }

  template <TracedVarRole kRole>
  void SetOutput(const std::string& name,
                 const TracedVarList<VarBase, kRole>& vars) {
    if (kRole == TracedVarRole::kBackward) {
      if (vars.size() == 1 && vars.front()->OverridedStopGradient()) {
        op_->SetOutput(name, VariableWrapperList{});
        return;
      } else {
        for (auto& var : vars) {
          if (!var->OverridedStopGradient()) {
            for (auto& op : var->GradOps()) {
              grad_pending_ops_.emplace(op);
            }
          }
        }
      }
    }

    op_->SetOutput(name, ToVarWrapperList(vars));
  }

  void SetType(const std::string& type) { op_->SetType(type); }

  void SetAttrMap(const framework::AttributeMap& attrs) {
    return op_->SetAttrMap(attrs);
  }

  void SetAttr(const std::string& name, const framework::Attribute& v) {
    op_->SetAttr(name, v);
  }

  bool HasAttr(const std::string& name) const { return op_->HasAttr(name); }

  const framework::Attribute& GetAttr(const std::string& name) const {
    return op_->GetAttr(name);
  }

  template <typename T>
  inline const T& Attr(const std::string& name) const {
    return op_->Attr<T>(name);
  }

 private:
  static std::vector<std::shared_ptr<VariableWrapper>> ToVarWrapperList(
      const std::vector<std::shared_ptr<VarBase>>& vars) {
    std::vector<std::shared_ptr<VariableWrapper>> result;
    result.reserve(vars.size());
    for (auto& var : vars) {
      result.emplace_back(var->SharedVar());
    }
    return result;
  }

 private:
  const std::shared_ptr<OpBase>& op_;
  std::unordered_set<std::shared_ptr<OpBase>> grad_pending_ops_;
};

}  // namespace imperative
}  // namespace paddle