Compute Library
 21.02
BatchNormalizationLayer.cpp
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25 
26 #include "ActivationLayer.h"
27 
29 
30 namespace arm_compute
31 {
32 namespace test
33 {
34 namespace validation
35 {
36 namespace reference
37 {
38 // Batch Normalization Layer for floating point type
39 template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type *>
41  ActivationLayerInfo act_info)
42 {
43  SimpleTensor<T> result(src.shape(), src.data_type());
44 
45  const auto cols = static_cast<int>(src.shape()[0]);
46  const auto rows = static_cast<int>(src.shape()[1]);
47  const auto depth = static_cast<int>(src.shape()[2]);
48  const int upper_dims = src.shape().total_size() / (cols * rows * depth);
49 #if defined(_OPENMP)
50  #pragma omp parallel for schedule(dynamic, 1) collapse(4)
51 #endif /* _OPENMP */
52  for(int r = 0; r < upper_dims; ++r)
53  {
54  for(int i = 0; i < depth; ++i)
55  {
56  for(int k = 0; k < rows; ++k)
57  {
58  for(int l = 0; l < cols; ++l)
59  {
60  const int pos = l + k * cols + i * rows * cols + r * cols * rows * depth;
61  const float denominator = sqrt(var[i] + epsilon);
62  const float numerator = src[pos] - mean[i];
63  const float x_bar = numerator / denominator;
64  result[pos] = beta[i] + x_bar * gamma[i];
65  }
66  }
67  }
68  }
69 
70  if(act_info.enabled())
71  {
72  result = activation_layer(result, act_info);
73  }
74 
75  return result;
76 }
78  const SimpleTensor<float> &gamma, float epsilon, ActivationLayerInfo act_info);
80  const SimpleTensor<half> &beta,
81  const SimpleTensor<half> &gamma, float epsilon, ActivationLayerInfo act_info);
82 } // namespace reference
83 } // namespace validation
84 } // namespace test
85 } // namespace arm_compute
SimpleTensor< T > activation_layer(const SimpleTensor< T > &src, ActivationLayerInfo info, const QuantizationInfo &oq_info)
bool enabled() const
Check if initialised.
Definition: Types.h:1600
DataType data_type() const override
Data type of the tensor.
Definition: SimpleTensor.h:357
TensorShape shape() const override
Shape of the tensor.
Definition: SimpleTensor.h:320
Activation Layer Information class.
Definition: Types.h:1550
decltype(strategy::transforms) typedef type
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2021 Arm Limited.
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
SimpleTensor< T > batch_normalization_layer(const SimpleTensor< T > &src, const SimpleTensor< T > &mean, const SimpleTensor< T > &var, const SimpleTensor< T > &beta, const SimpleTensor< T > &gamma, float epsilon, ActivationLayerInfo act_info)