Compute Library
 21.08
ConvertFullyConnectedWeights.cpp
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25 
26 namespace arm_compute
27 {
28 namespace test
29 {
30 namespace validation
31 {
32 namespace reference
33 {
34 template <typename T>
35 SimpleTensor<T> convert_fully_connected_weights(const SimpleTensor<T> &src, const TensorShape &original_input_shape, const DataLayout training_data_layout)
36 {
37  SimpleTensor<T> dst(src.shape(), src.data_type());
38 
39  const DataLayout original_input_data_layout = (training_data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
40 
41  const int width_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::WIDTH);
42  const int height_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::HEIGHT);
43  const int channel_idx = get_data_layout_dimension_index(original_input_data_layout, DataLayoutDimension::CHANNEL);
44 
45  const bool is_nchw_to_nhwc = training_data_layout == DataLayout::NCHW;
46  const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
47  const unsigned int num_channels = original_input_shape[channel_idx];
48  const unsigned int factor_1 = is_nchw_to_nhwc ? num_elems_per_input_plane : num_channels;
49  const unsigned int factor_2 = is_nchw_to_nhwc ? num_channels : num_elems_per_input_plane;
50 
51  const uint32_t num_elements = src.num_elements();
52 #if defined(_OPENMP)
53  #pragma omp parallel for
54 #endif /* _OPENMP */
55  for(uint32_t i = 0; i < num_elements; ++i)
56  {
57  const Coordinates coords_in = index2coords(src.shape(), i);
58  const Coordinates coords_out(coords_in.x(), coords_in.y() % factor_1 * factor_2 + coords_in.y() / factor_1);
59 
60  dst[coords2index(dst.shape(), coords_out)] = src[i];
61  }
62 
63  return dst;
64 }
65 
67  const DataLayout training_data_layout);
68 template SimpleTensor<half> convert_fully_connected_weights(const SimpleTensor<half> &src, const TensorShape &original_input_shape,
69  const DataLayout training_data_layout);
70 template SimpleTensor<float> convert_fully_connected_weights(const SimpleTensor<float> &src, const TensorShape &original_input_shape,
71  const DataLayout training_data_layout);
72 } // namespace reference
73 } // namespace validation
74 } // namespace test
75 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
Coordinates index2coords(const TensorShape &shape, int index)
Convert a linear index into n-dimensional coordinates.
Definition: Helpers.inl:156
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.
T x() const
Alias to access the size of the first dimension.
Definition: Dimensions.h:87
Coordinates of an item.
Definition: Coordinates.h:37
int coords2index(const TensorShape &shape, const Coordinates &coord)
Convert n-dimensional coordinates into a linear index.
Definition: Helpers.inl:175
Num samples, channels, height, width.
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
SimpleTensor< T > convert_fully_connected_weights(const SimpleTensor< T > &src, const TensorShape &original_input_shape, const DataLayout training_data_layout)
Num samples, height, width, channels.
int num_elements() const override
Number of elements of the tensor.
Definition: SimpleTensor.h:406
T y() const
Alias to access the size of the second dimension.
Definition: Dimensions.h:92
size_t get_data_layout_dimension_index(const DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
Get the index of the given dimension.
Definition: Helpers.inl:193
DataLayout
[DataLayout enum definition]
Definition: Types.h:111