/* 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. */

#include "paddle/fluid/operators/unique_op.h"

namespace paddle {
namespace operators {

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

  void InferShape(framework::InferShapeContext* ctx) const override {
    PADDLE_ENFORCE(ctx->HasInput("X"),
                   "Input(X) of UniqueOp should not be null.");
    PADDLE_ENFORCE(ctx->HasOutput("Out"),
                   "Output(Out) of UniqueOp should not be null.");
    PADDLE_ENFORCE(ctx->HasOutput("Index"),
                   "Output(Index) of UniqueOp should not be null.");

    auto in_dims = ctx->GetInputDim("X");
    PADDLE_ENFORCE(in_dims.size() == 1, "Input(X) should be a vector.");

    ctx->SetOutputDim("Out", {-1});
    ctx->SetOutputDim("Index", in_dims);
  }
};

class UniqueOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  void Make() override {
    AddInput("X", "Input tensor. It should be a 1-D tensor.");
    AddAttr<int>("dtype", "data type for output index");
    AddOutput("Out", "A unique subsequence for input tensor.");
    AddOutput("Index",
              "An index tensor pointing to unique subsequence, which has "
              "identical shape with input tensor and int64 dtype.");
    AddComment(R"DOC(
    Return a unique subsequence for 1-D input tensor, and an index tensor pointing to this unique subsequence
)DOC");
  }
};
}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;
REGISTER_OP_WITHOUT_GRADIENT(unique, ops::UniqueOp, ops::UniqueOpMaker);
REGISTER_OP_CPU_KERNEL(unique, ops::UniqueKernel<float>,
                       ops::UniqueKernel<double>, ops::UniqueKernel<int32_t>,
                       ops::UniqueKernel<int64_t>);
