// 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/kernels/host/reshape_compute.h"

namespace paddle {
namespace lite {
namespace kernels {
namespace host {

void ReshapeCompute::Run() {
  auto& param = Param<operators::ReshapeParam>();
  auto x = param.x;
  auto output = param.output;
  auto output_dims = output->dims();
  auto output_lod = output->lod();
  // printf("param.inplace: %d \n", param.inplace);
  if (param.inplace) {
    output->ShareDataWith(*x);
  } else {
    output->CopyDataFrom(*x);
  }
  // printf("output_dims: %d\n", output_dims.size());
  output->Resize(output_dims);
  // printf("resize end\n");
  output->set_lod(output_lod);
  // printf("lod end\n");
}

}  // namespace host
}  // namespace kernels
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_KERNEL(reshape,
                     kHost,
                     kAny,
                     kAny,
                     paddle::lite::kernels::host::ReshapeCompute,
                     def)
    .BindInput("X",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("ShapeTensor",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("Shape",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindOutput("Out",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .Finalize();

REGISTER_LITE_KERNEL(reshape2,
                     kHost,
                     kAny,
                     kAny,
                     paddle::lite::kernels::host::ReshapeCompute,
                     def)
    .BindInput("X",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("Shape",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("ShapeTensor",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindOutput("Out",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .BindOutput("XShape",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .Finalize();

REGISTER_LITE_KERNEL(flatten,
                     kHost,
                     kAny,
                     kAny,
                     paddle::lite::kernels::host::ReshapeCompute,
                     def)
    .BindInput("X",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("Shape",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindOutput("Out",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .Finalize();

REGISTER_LITE_KERNEL(flatten2,
                     kHost,
                     kAny,
                     kAny,
                     paddle::lite::kernels::host::ReshapeCompute,
                     def)
    .BindInput("X",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindInput("Shape",
               {LiteType::GetTensorTy(TARGET(kHost),
                                      PRECISION(kAny),
                                      DATALAYOUT(kAny))})
    .BindOutput("Out",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .BindOutput("XShape",
                {LiteType::GetTensorTy(TARGET(kHost),
                                       PRECISION(kAny),
                                       DATALAYOUT(kAny))})
    .Finalize();
