/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
Indicesou 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/detection_output_op.h"
namespace paddle {
namespace operators {

class Detection_output_OpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  Detection_output_OpMaker(framework::OpProto* proto,
                           framework::OpAttrChecker* op_checker)
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("Loc",
             "(Tensor) The input tensor of detection_output operator. "
             "The format of input tensor is kNCHW. Where K is priorbox point "
             "numbers,"
             "N is How many boxes are there on each point, "
             "C is 4, H and W both are 1.");
    AddInput("Conf",
             "(Tensor) The input tensor of detection_output operator. "
             "The format of input tensor is kNCHW. Where K is priorbox point "
             "numbers,"
             "N is How many boxes are there on each point, "
             "C is the number of classes, H and W both are 1.");
    AddInput("PriorBox",
             "(Tensor) The input tensor of detection_output operator. "
             "The format of input tensor is the position and variance "
             "of the boxes");
    AddOutput("Out",
              "(Tensor) The output tensor of detection_output operator.");
    AddAttr<int>("background_label_id",
                 "(int), the attr of detection_output operator");
    AddAttr<int>("num_classes",
                 "(int),  the attr of detection_output operator");
    AddAttr<float>("nms_threshold",
                   "(float), the attr of detection_output operator");
    AddAttr<float>("confidence_threshold",
                   "(float), the attr of detection_output operator");
    AddAttr<int>("top_k", "(int), the attr of detection_output operator");
    AddAttr<int>("nms_top_k", "(int), the attr of detection_output operator");
    AddComment(R"DOC(
          detection output for SSD(single shot multibox detector)

        )DOC");
  }
};

class Detection_output_Op : public framework::OperatorWithKernel {
 public:
  using framework::OperatorWithKernel::OperatorWithKernel;
  void InferShape(framework::InferShapeContext* ctx) const override {
    PADDLE_ENFORCE(ctx->HasInput("Loc"),
                   "Input(X) of Detection_output_Op"
                   "should not be null.");
    PADDLE_ENFORCE(ctx->HasInput("Conf"),
                   "Input(X) of Detection_output_Op"
                   "should not be null.");
    PADDLE_ENFORCE(ctx->HasInput("PriorBox"),
                   "Input(X) of Detection_output_Op"
                   "should not be null.");
    PADDLE_ENFORCE(ctx->HasOutput("Out"),
                   "Output(Out) of Detection_output_Op should not be null.");
    std::vector<int64_t> output_shape({1, 7});
    ctx->SetOutputDim("Out", framework::make_ddim(output_shape));
  }
};
}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_WITHOUT_GRADIENT(detection_output, ops::Detection_output_Op,
                             ops::Detection_output_OpMaker);
REGISTER_OP_CPU_KERNEL(
    detection_output,
    ops::Detection_output_Kernel<paddle::platform::CPUPlace, float>,
    ops::Detection_output_Kernel<paddle::platform::CPUPlace, double>);