Compute Library
 21.08
ChannelShuffle.cpp
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24 #include "ChannelShuffle.h"
25 
26 #include "arm_compute/core/Types.h"
28 
29 namespace arm_compute
30 {
31 namespace test
32 {
33 namespace validation
34 {
35 namespace reference
36 {
37 // Refence implementation for channel shuffle taken from https://github.com/pytorch/pytorch/blob/master/caffe2/operators/channel_shuffle_op.h
38 template <typename T>
40 {
41  // Create reference
42  SimpleTensor<T> dst{ src.shape(), src.data_type(), src.num_channels(), src.quantization_info() };
43 
44  const int M = src.shape()[0];
45  const int N = src.shape()[1];
46  const int num_channels = src.shape()[2];
47  const int batches = src.shape()[3];
48  const int MxN = M * N;
49  const int channels_in_group = num_channels / num_groups;
50 
51  const T *src_ref = src.data();
52  T *dst_ref = dst.data();
53 #if defined(_OPENMP)
54  #pragma omp parallel for collapse(2)
55 #endif /* _OPENMP */
56  for(int n = 0; n < batches; ++n)
57  {
58  for(int g = 0; g < num_groups; ++g)
59  {
60  // Gather the group g block (of size channels_in_group * MxN) from output channels
61  // g + 0 * G, g + 1 * G, g + 2 * G, g + G * (K - 1) etc.
62  const T *src_ptr = src_ref + g * channels_in_group * MxN + n * num_channels * MxN;
63  T *dst_ptr = dst_ref + g * MxN + n * num_channels * MxN;
64  for(int i = 0; i < channels_in_group; ++i)
65  {
66  std::copy(src_ptr + i * MxN,
67  src_ptr + (i + 1) * MxN,
68  dst_ptr + i * num_groups * MxN);
69  }
70  }
71  }
72 
73  return dst;
74 }
75 
77 template SimpleTensor<uint16_t> channel_shuffle(const SimpleTensor<uint16_t> &src, int num_groups);
78 template SimpleTensor<uint32_t> channel_shuffle(const SimpleTensor<uint32_t> &src, int num_groups);
79 template SimpleTensor<half> channel_shuffle(const SimpleTensor<half> &src, int num_groups);
80 template SimpleTensor<float> channel_shuffle(const SimpleTensor<float> &src, int num_groups);
81 } // namespace reference
82 } // namespace validation
83 } // namespace test
84 } // namespace arm_compute
DataType data_type() const override
Data type of the tensor.
Definition: SimpleTensor.h:357
SimpleTensor< T > channel_shuffle(const SimpleTensor< T > &src, int num_groups)
unsigned int M
TensorShape shape() const override
Shape of the tensor.
Definition: SimpleTensor.h:320
SimpleTensor< T > copy(const SimpleTensor< T > &src, const TensorShape &output_shape)
Definition: Copy.cpp:37
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2021 Arm Limited.
const unsigned int num_groups
Definition: Im2Col.cpp:153
unsigned int N
SimpleTensor< float > src_ref
Definition: Im2Col.cpp:197
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
int num_channels() const override
Number of channels of the tensor.
Definition: SimpleTensor.h:370
unsigned int batches
QuantizationInfo quantization_info() const override
Quantization info in case of asymmetric quantized type.
Definition: SimpleTensor.h:332
const T * data() const
Constant pointer to the underlying buffer.
Definition: SimpleTensor.h:418