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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 The TensorFlow 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 "kernels/L2Normalize.h"
#include "kernels/TestUtils.h"
namespace luci_interpreter
{
namespace kernels
{
namespace
{
using namespace testing;
TEST(L2NormalizeTest, Float)
{
std::vector<float> input_data = {-1.1, 0.6, 0.7, 1.2, -0.7, 0.1};
Tensor input_tensor = makeInputTensor<DataType::FLOAT32>({1, 1, 1, 6}, input_data);
Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
L2NormParams params{};
params.activation = Activation::NONE;
L2Normalize kernel(&input_tensor, &output_tensor, params);
kernel.configure();
kernel.execute();
std::vector<float> ref_output_data{-0.55, 0.3, 0.35, 0.6, -0.35, 0.05};
EXPECT_THAT(extractTensorData<float>(output_tensor),
ElementsAreArray(ArrayFloatNear(ref_output_data)));
}
TEST(L2NormalizeTest, Uint8Quantized)
{
// TODO
// Implement GetDequantizedOutput Function.
// Create Test for Uint8 Case
}
} // namespace
} // namespace kernels
} // namespace luci_interpreter
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