// Copyright (c) 2021 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/fluid/framework/infershape_utils.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/phi/core/infermeta_utils.h"
#include "paddle/phi/infermeta/unary.h"

namespace paddle {
namespace operators {

class DiagonalOp : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;
};

class DiagonalOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  void Make() override {
    AddInput("Input",
             "(Tensor) The input tensor, from which the diagonals are taken.");
    AddOutput(
        "Out",
        "(Tensor) The partial view of input with the its diagonal elements.");
    AddAttr<int>(
        "offset",
        R"DOC((int, default 0), offset of the diagonal from the main diagonal. Can be both positive and negative. Default: 0.
        )DOC")
        .SetDefault(0);
    AddAttr<int>(
        "axis1",
        R"DOC((int, default 0), the first axis of the 2-D planes from which the diagonals should be taken. 
        Can be either positive or negative. Default: 0.
        )DOC")
        .SetDefault(0);
    AddAttr<int>(
        "axis2",
        R"DOC((int, default 1), the second axis of the 2-D planes from which the diagonals should be taken. 
        Can be either positive or negative. Default: 1.
        )DOC")
        .SetDefault(1);
    AddComment(R"DOC(
Diagonal Operator.
Return a partial view of input with the its diagonal elements of the input tensor.
The behavior of this operator is similar to how `numpy.diagonal` works.

)DOC");
  }
};

class DiagonalGradOp : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;

  void InferShape(framework::InferShapeContext *ctx) const override {
    OP_INOUT_CHECK(ctx->HasInput("Input"), "Input", "Input", "DiagonalGrad");
    OP_INOUT_CHECK(ctx->HasOutput(framework::GradVarName("Input")), "Output",
                   framework::GradVarName("Input"), "DiagonalGrad");

    ctx->SetOutputDim(framework::GradVarName("Input"),
                      ctx->GetInputDim("Input"));
  }

 protected:
  framework::OpKernelType GetExpectedKernelType(
      const framework::ExecutionContext &ctx) const override {
    return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType(
                                       ctx, framework::GradVarName("Out")),
                                   ctx.GetPlace());
  }
};

template <typename T>
class DiagonalGradOpMaker : public framework::SingleGradOpMaker<T> {
 public:
  using framework::SingleGradOpMaker<T>::SingleGradOpMaker;

 protected:
  void Apply(GradOpPtr<T> grad_op) const override {
    grad_op->SetType("diagonal_grad");
    grad_op->SetInput("Input", this->Input("Input"));
    grad_op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
    grad_op->SetOutput(framework::GradVarName("Input"),
                       this->InputGrad("Input"));
    grad_op->SetAttrMap(this->Attrs());
  }
};

DECLARE_NO_NEED_BUFFER_VARS_INFERER(DiagonalGradNoNeedBufferVarsInferer,
                                    "Input");

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

DELCARE_INFER_SHAPE_FUNCTOR(diagonal, DiagonalInferShapeFunctor,
                            PT_INFER_META(phi::DiagonalInferMeta));

REGISTER_OPERATOR(diagonal, ops::DiagonalOp, ops::DiagonalOpMaker,
                  ops::DiagonalGradOpMaker<paddle::framework::OpDesc>,
                  ops::DiagonalGradOpMaker<paddle::imperative::OpBase>,
                  DiagonalInferShapeFunctor);

REGISTER_OPERATOR(diagonal_grad, ops::DiagonalGradOp,
                  ops::DiagonalGradNoNeedBufferVarsInferer)