Compute Library
 21.08
L2NormalizeLayer.cpp
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1 /*
2  * Copyright (c) 2017-2019 Arm Limited.
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24 #include "L2NormalizeLayer.h"
25 #include "ReductionOperation.h"
26 
28 
29 #include <algorithm>
30 #include <cmath>
31 
32 namespace arm_compute
33 {
34 namespace test
35 {
36 namespace validation
37 {
38 namespace reference
39 {
40 namespace
41 {
42 TensorShape get_output_shape(TensorShape shape, unsigned int axis)
43 {
44  TensorShape output_shape(shape);
45  output_shape.set(axis, 1);
46  return output_shape;
47 }
48 } // namespace
49 
50 template <typename T>
51 SimpleTensor<T> l2_normalize(const SimpleTensor<T> &src, unsigned int axis, float epsilon)
52 {
53  // Create reference
54  SimpleTensor<T> dst{ src.shape(), src.data_type() };
55 
56  // Reduce across given axis
57  SimpleTensor<T> sum = reduction_operation<T, T>(src, get_output_shape(src.shape(), axis), axis, ReductionOperation::SUM_SQUARE);
58 
59  // Compute reference
60  const int upper_dims = src.shape().total_size_upper(axis + 1);
61  const int lower_dims = src.shape().total_size_lower(axis + 1);
62  const int lower_dims_sum = sum.shape().total_size_lower(axis + 1);
63 
64  for(int du = 0; du < upper_dims; ++du)
65  {
66  const T *src_row_ptr = src.data() + du * lower_dims;
67  T *dst_row_ptr = dst.data() + du * lower_dims;
68  switch(axis)
69  {
70  case 0:
71  {
72  const int elems = src.shape()[0];
73  const T normalization_value = sqrt(std::max(sum[du], static_cast<T>(epsilon)));
74  std::transform(src_row_ptr, src_row_ptr + elems, dst_row_ptr, [normalization_value](T val)
75  {
76  return val / normalization_value;
77  });
78  }
79  break;
80  case 1:
81  case 2:
82  {
83  for(int ld = 0; ld < lower_dims; ++ld)
84  {
85  const T normalization_value = sqrt(std::max(sum[ld % lower_dims_sum + du * lower_dims_sum], static_cast<T>(epsilon)));
86  dst_row_ptr[ld] = src_row_ptr[ld] / normalization_value;
87  }
88  }
89  break;
90  default:
91  ARM_COMPUTE_ERROR("Axis not supported");
92  }
93  }
94 
95  return dst;
96 }
97 
98 template SimpleTensor<float> l2_normalize(const SimpleTensor<float> &src, unsigned int axis, float epsilon);
99 template SimpleTensor<half> l2_normalize(const SimpleTensor<half> &src, unsigned int axis, float epsilon);
100 } // namespace reference
101 } // namespace validation
102 } // namespace test
103 } // namespace arm_compute
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
Definition: Error.h:352
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
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2021 Arm Limited.
SimpleTensor< T > l2_normalize(const SimpleTensor< T > &src, unsigned int axis, float epsilon)
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true, bool increase_dim_unit=true)
Accessor to set the value of one of the dimensions.
Definition: TensorShape.h:79