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/*
* Copyright (c) 2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "LayerNormalizationLayer.h"
#include "ArithmeticOperations.h"
#include "MeanStdDevNormalizationLayer.h"
#include "PixelWiseMultiplication.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace reference
{
SimpleTensor<float> layer_normalization_layer_float(SimpleTensor<float> src, SimpleTensor<float> weight, SimpleTensor<float> bias)
{
src = mean_std_normalization_layer(src);
src = pixel_wise_multiplication(src, weight, 1, ConvertPolicy::SATURATE, RoundingPolicy::TO_ZERO);
return arithmetic_operation(ArithmeticOperation::ADD, src, bias, DataType::F32, ConvertPolicy::SATURATE);
}
SimpleTensor<int16_t> layer_normalization_layer(const SimpleTensor<int16_t> &src, const SimpleTensor<int16_t> &weight, const SimpleTensor<int16_t> &bias)
{
ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 2);
SimpleTensor<float> converted_src = convert_from_symmetric(src);
SimpleTensor<float> converted_weight = convert_from_symmetric(weight);
SimpleTensor<float> converted_bias = convert_from_symmetric(bias);
SimpleTensor<float> output = layer_normalization_layer_float(converted_src, converted_weight, converted_bias);
return convert_to_symmetric<int16_t>(output, src.quantization_info());
}
} // namespace reference
} // namespace validation
} // namespace test
} // namespace arm_compute
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