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/*
 * Copyright (c) 2020 Samsung Electronics Co., Ltd. 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 "kernels/Logistic.h"
#include "kernels/TestUtils.h"

namespace luci_interpreter
{
namespace kernels
{
namespace
{

using namespace testing;

TEST(LogisticTest, Float)
{
  Shape input_shape{1, 2, 4, 1};
  std::vector<float> input_data{
      0, -6, 2,  4, //
      3, -2, 10, 1, //
  };
  Tensor input_tensor = makeInputTensor<DataType::FLOAT32>(input_shape, input_data);
  Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);

  Logistic kernel(&input_tensor, &output_tensor);
  kernel.configure();
  kernel.execute();

  std::vector<float> ref_output_data{
      0.5,      0.002473, 0.880797, 0.982014, //
      0.952574, 0.119203, 0.999955, 0.731059, //
  };
  EXPECT_THAT(extractTensorData<float>(output_tensor),
              ElementsAreArray(ArrayFloatNear(ref_output_data)));
  // TODO make a Shape checking of output_tensor.
}

TEST(LogisticTest, Uint8)
{
  // Need to Implement GetDequantizedOutput Function.
}

} // namespace
} // namespace kernels
} // namespace luci_interpreter