/* Copyright (c) 2018 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. */

#pragma once

#include "framework/data_transform.h"

namespace paddle_mobile {
namespace framework {

static void PassTensorData(Tensor *from, Tensor *to) {
  to->ShareDataWith(*from);
  *from = Tensor();
}

void DataTransform(const OpKernelType &expected_kernel_type,
                   const OpKernelType &kernel_type_for_var,
                   const Tensor &input_tensor, Tensor *output_tensor) {
  bool transformed = false;
  Tensor in;
  in.ShareDataWith(input_tensor);
  Tensor out;

  //  // do layout transform
  //  if (NeedTransformLayout(expected_kernel_type.data_layout_,
  //                          kernel_type_for_var.data_layout_)) {
  //    TransDataLayout(kernel_type_for_var, expected_kernel_type, in,
  //    &out);
  //    transformed = true;
  //    PassTensorData(&out, &in);
  //  }
  //
  //  // do data type transform
  //  if (expected_kernel_type.data_type_ !=
  //  kernel_type_for_var.data_type_) {
  //    TransDataType(kernel_type_for_var, expected_kernel_type, in,
  //    &out);
  //    transformed = true;
  //    PassTensorData(&out, &in);
  //  }
  //
  //  // do device transform
  //  if (!platform::is_same_place(kernel_type_for_var.place_,
  //                               expected_kernel_type.place_)) {
  //    TransDataDevice(in, expected_kernel_type.place_, &out);
  //    transformed = true;
  //    PassTensorData(&out, &in);
  //  }
  //
  //  PADDLE_ENFORCE(transformed, "No transform is applied, please
  //  check!");
  // get output data
  output_tensor->ShareDataWith(in);
}

void CopyVariableWithTensor(const Variable &in_var, const Tensor &tensor,
                            Variable *out_var) {
  //  if (in_var.IsType<LoDTensor>()) {
  //    auto& in_lod_tensor = in_var.Get<LoDTensor>();
  //    auto* tran_lod_tensor = out_var.GetMutable<LoDTensor>();
  //    tran_lod_tensor->set_lod(in_lod_tensor.lod());
  //    tran_lod_tensor->set_layout(in_lod_tensor.layout());
  //    tran_lod_tensor->ShareDataWith(tensor);
  //  } else if (in_var.IsType<SelectedRows>()) {
  //    auto& in_selected_rows = in_var.Get<SelectedRows>();
  //    auto* trans_selected_rows =
  //    out_var.GetMutable<SelectedRows>();
  //    trans_selected_rows->set_height(in_selected_rows.height());
  //    trans_selected_rows->set_rows(in_selected_rows.rows());
  //    trans_selected_rows->mutable_value()->ShareDataWith(tensor);
  //  } else {
  //    PADDLE_THROW("unknown var type");
  //  }
}

}  // namespace framework
}  // namespace paddle_mobile