telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "RefWorkloadUtils.hpp" |
| 9 | |
| 10 | #include <armnn/Tensor.hpp> |
| 11 | |
| 12 | #include <cmath> |
| 13 | |
| 14 | namespace armnn |
| 15 | { |
| 16 | |
| 17 | template<typename NormData> |
| 18 | static void BatchNormImpl(NormData data, |
| 19 | const float* varIn, |
| 20 | const float* meanIn, |
| 21 | const float* gammaIn, |
| 22 | const float* betaIn, |
| 23 | float * outputData, |
| 24 | const float * inputData) |
| 25 | { |
| 26 | const TensorInfo& inputInfo0 = GetTensorInfo(data.m_Inputs[0]); |
| 27 | for (unsigned int c = 0; c < inputInfo0.GetShape()[1]; c++) |
| 28 | { |
| 29 | float var = varIn[c]; |
| 30 | float mean = meanIn[c]; |
| 31 | float gamma = gammaIn[c]; |
| 32 | float beta = betaIn[c]; |
| 33 | |
| 34 | float mult = gamma / sqrtf(var + data.m_Parameters.m_Eps); |
| 35 | float add = beta - mult * mean; |
| 36 | |
| 37 | for (unsigned int n = 0; n < inputInfo0.GetShape()[0]; n++) |
| 38 | { |
| 39 | for (unsigned int j = 0; j < inputInfo0.GetShape()[2]; j++) |
| 40 | { |
| 41 | for (unsigned int i = 0; i < inputInfo0.GetShape()[3]; i++) |
| 42 | { |
| 43 | unsigned int index = i + |
| 44 | j*inputInfo0.GetShape()[3] + |
| 45 | c*inputInfo0.GetShape()[3] * inputInfo0.GetShape()[2] + |
| 46 | n*inputInfo0.GetShape()[3] * inputInfo0.GetShape()[2] |
| 47 | * inputInfo0.GetShape()[1]; |
| 48 | |
| 49 | outputData[index] = mult * inputData[index] + add; |
| 50 | } |
| 51 | } |
| 52 | } |
| 53 | } |
| 54 | } |
| 55 | |
| 56 | } //namespace armnn |