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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "RefWorkloadUtils.hpp"
#include <armnn/Tensor.hpp>
#include <cmath>
namespace armnn
{
template<typename NormData>
static void BatchNormImpl(NormData data,
const float* varIn,
const float* meanIn,
const float* gammaIn,
const float* betaIn,
float * outputData,
const float * inputData)
{
const TensorInfo& inputInfo0 = GetTensorInfo(data.m_Inputs[0]);
for (unsigned int c = 0; c < inputInfo0.GetShape()[1]; c++)
{
float var = varIn[c];
float mean = meanIn[c];
float gamma = gammaIn[c];
float beta = betaIn[c];
float mult = gamma / sqrtf(var + data.m_Parameters.m_Eps);
float add = beta - mult * mean;
for (unsigned int n = 0; n < inputInfo0.GetShape()[0]; n++)
{
for (unsigned int j = 0; j < inputInfo0.GetShape()[2]; j++)
{
for (unsigned int i = 0; i < inputInfo0.GetShape()[3]; i++)
{
unsigned int index = i +
j*inputInfo0.GetShape()[3] +
c*inputInfo0.GetShape()[3] * inputInfo0.GetShape()[2] +
n*inputInfo0.GetShape()[3] * inputInfo0.GetShape()[2]
* inputInfo0.GetShape()[1];
outputData[index] = mult * inputData[index] + add;
}
}
}
}
}
} //namespace armnn
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