// Copyright (c) 2022 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 "fastdeploy/core/fd_tensor.h"
#include "fastdeploy/function/transpose.h"
#include <numeric>
#include <vector>

#include "glog/logging.h"
#include "gtest_utils.h"
#include "gtest/gtest.h"

namespace fastdeploy {
namespace function {
TEST(fastdeploy, transpose_2d) {
  FDTensor input, output;
  CheckShape check_shape;
  CheckData check_data;

  std::vector<float> inputs = {2, 4, 3, 7, 1, 5};
  std::vector<float> expected_result = {2, 7, 4, 1, 3, 5};
  input.SetExternalData({2, 3}, FDDataType::FP32, inputs.data());

  Transpose(input, &output, {1, 0});
  check_shape(output.shape, {3, 2});
  check_data(reinterpret_cast<const float*>(output.Data()),
             expected_result.data(), expected_result.size());

  Transpose(input, &input, {1, 0});
  check_shape(input.shape, {3, 2});
  check_data(reinterpret_cast<const float*>(input.Data()),
             expected_result.data(), expected_result.size());
}

TEST(fastdeploy, transpose_5d) {
  FDTensor input, output;
  CheckShape check_shape;
  CheckData check_data;

  std::vector<int64_t> input_shape = {2, 1, 3, 1, 2};
  auto total_size = std::accumulate(input_shape.begin(), input_shape.end(), 1,
                                    std::multiplies<int64_t>());
  std::vector<int> inputs(total_size, 1);
  std::iota(inputs.begin(), inputs.end(), 1);
  std::vector<int> expected_result = {1, 3, 5, 2, 4, 6, 7, 9, 11, 8, 10, 12};
  input.SetExternalData(input_shape, FDDataType::INT32, inputs.data());

  Transpose(input, &output, {0, 1, 4, 3, 2});
  check_shape(output.shape, {2, 1, 2, 1, 3});
  check_data(reinterpret_cast<const int*>(output.Data()),
             expected_result.data(), expected_result.size());

  Transpose(input, &input, {0, 1, 4, 3, 2});
  check_shape(input.shape, {2, 1, 2, 1, 3});
  check_data(reinterpret_cast<const int*>(input.Data()), expected_result.data(),
             expected_result.size());
}

}  // namespace function
}  // namespace fastdeploy