// 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 "lite/operators/sequence_unpad_op.h"
#include "lite/core/op_registry.h"

namespace paddle {
namespace lite {
namespace operators {

bool SequenceUnpadOp::CheckShape() const {
  CHECK_OR_FALSE(param_.X);
  CHECK_OR_FALSE(param_.Length);
  CHECK_OR_FALSE(param_.Out);
  auto x_dims = param_.X->dims();
  auto len_dims = param_.Length->dims();
  CHECK(x_dims.size() >= 2) << "Rank of X can't be less than 2";
  CHECK(len_dims.size() == 1) << "Rank of Length should be 1";
  CHECK(x_dims[0] == len_dims[0])
      << "X and Length should have the same 1st dim";
  return true;
}

bool SequenceUnpadOp::InferShapeImpl() const { return true; }

bool SequenceUnpadOp::AttachImpl(const cpp::OpDesc &opdesc,
                                 lite::Scope *scope) {
  param_.X = const_cast<lite::Tensor *>(
      &scope->FindVar(opdesc.Input("X").front())->Get<lite::Tensor>());
  param_.Length = const_cast<lite::Tensor *>(
      &scope->FindVar(opdesc.Input("Length").front())->Get<lite::Tensor>());
  param_.Out =
      scope->FindVar(opdesc.Output("Out").front())->GetMutable<lite::Tensor>();
  return true;
}

}  // namespace operators
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_OP(sequence_unpad, paddle::lite::operators::SequenceUnpadOp);