/* 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. */

#include "paddle/operators/compare_op.h"
#include "paddle/framework/op_registry.h"
namespace paddle {
namespace operators {
template <typename OpComment>
class CompareOpProtoMaker : public framework::OpProtoAndCheckerMaker {
 public:
  CompareOpProtoMaker(framework::OpProto *proto,
                      framework::OpAttrChecker *op_checker)
      : OpProtoAndCheckerMaker(proto, op_checker) {
    OpComment comment;
    AddInput("X",
             string::Sprintf("(LoDTensor) the left hand operand of %s operator",
                             comment.type));
    AddInput("Y", string::Sprintf(
                      "(LoDTensor) the right hand operand of %s operator",
                      comment.type));
    AddOutput("Out", string::Sprintf(
                         "(LoDTensor) n-dim bool tensor. Each element is %s",
                         comment.equation));
    AddComment(string::Sprintf(R"DOC(%s Operator

It operates element-wise on X and Y, and returns the Out. Each of them is a
N-dim tensor. X and Y could be any type.  The each element of the Out tensor is
calculated by %s
)DOC",
                               comment.type, comment.equation));
  }
};

template <typename OpComment>
class CompareOpInferShape : public framework::InferShapeBase {
 public:
  void operator()(framework::InferShapeContext *context) const override {
    OpComment comment;
    PADDLE_ENFORCE(context->HasInput("X"), "%s operator must has input X",
                   comment.type);
    PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must has input Y",
                   comment.type);
    auto dim_x = context->GetInputDim("X");
    auto dim_y = context->GetInputDim("Y");
    PADDLE_ENFORCE_EQ(framework::product(dim_x), framework::product(dim_y),
                      "The number of elements in X and Y should be same");

    context->SetOutputDim("Out", context->GetInputDim("X"));
    context->ShareLoD("X", "Out");
  }
};

}  // namespace operators
}  // namespace paddle

#define REGISTER_LOGICAL_OP(op_type, _equation)                               \
  struct _##op_type##Comment {                                                \
    static char type[];                                                       \
    static char equation[];                                                   \
  };                                                                          \
  char _##op_type##Comment::type[]{#op_type};                                 \
  char _##op_type##Comment::equation[]{_equation};                            \
  REGISTER_OP_WITH_KERNEL(                                                    \
      op_type, ::paddle::operators::CompareOpProtoMaker<_##op_type##Comment>, \
      ::paddle::operators::CompareOpInferShape<_##op_type##Comment>,          \
      ::paddle::framework::EmptyGradOpMaker);

REGISTER_LOGICAL_OP(less_than, "Out = X < Y");
REGISTER_LOGICAL_KERNEL(less_than, CPU, paddle::operators::LessThanFunctor);
REGISTER_LOGICAL_OP(equal, "Out = X == Y");
REGISTER_LOGICAL_KERNEL(equal, CPU, paddle::operators::EqualFunctor);