Compute Library
 20.02.1
NEConvertFullyConnectedWeightsKernel.cpp
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25 
27 #include "arm_compute/core/Types.h"
28 
29 namespace arm_compute
30 {
32  : _input(nullptr), _output(nullptr), _factor1(0), _factor2(0)
33 {
34 }
35 
36 void NEConvertFullyConnectedWeightsKernel::configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape,
38 {
40 
41  // Output tensor auto initialisation if not yet initialized
42  auto_init_if_empty(*output->info(), *input->info()->clone());
43 
45 
46  _input = input;
47  _output = output;
48 
49  const DataLayout input_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
50 
51  const int width_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::WIDTH);
52  const int height_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::HEIGHT);
53  const int channel_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::CHANNEL);
54 
55  const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
56  const unsigned int num_channels = original_input_shape[channel_idx];
57 
58  _factor1 = (data_layout == DataLayout::NCHW) ? num_elems_per_input_plane : num_channels;
59  _factor2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_input_plane;
60 
61  // Configure kernel window
62  Window win = calculate_max_window(*input->info(), Steps());
63  INEKernel::configure(win);
64 }
65 
68 {
70  //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
72  ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() != 2);
73  ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != original_input_shape.total_size_lower(3));
75 
76  // Checks performed when output is configured
77  if((output != nullptr) && (output->total_size() != 0))
78  {
81  }
82 
83  return Status{};
84 }
85 
86 template <typename T>
87 void NEConvertFullyConnectedWeightsKernel::run_convert_fc_weights(const Window &window)
88 {
89  const unsigned int dst_stride_x = _output->info()->strides_in_bytes().x();
90  const unsigned int dst_stride_y = _output->info()->strides_in_bytes().y();
91 
92  Iterator input(_input, window);
93  Iterator output(_output, window);
94 
95  execute_window_loop(window, [&](const Coordinates & id)
96  {
97  *reinterpret_cast<T *>(output.ptr() + id.x() * dst_stride_x + (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y) = *reinterpret_cast<T *>(input.ptr());
98  },
99  input);
100 }
101 
103 {
107 
108  switch(_input->info()->element_size())
109  {
110  case 1:
111  run_convert_fc_weights<uint8_t>(window);
112  break;
113  case 2:
114  run_convert_fc_weights<uint16_t>(window);
115  break;
116  case 4:
117  run_convert_fc_weights<uint32_t>(window);
118  break;
119  default:
120  ARM_COMPUTE_ERROR("Data type not supported.");
121  break;
122  }
123 }
124 } // namespace arm_compute
const Window & window() const
The maximum window the kernel can be executed on.
Definition: IKernel.cpp:28
Shape of a tensor.
Definition: TensorShape.h:39
const DataLayout data_layout
Definition: Im2Col.cpp:146
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(...)
Definition: Validate.h:545
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
Definition: Error.h:352
Store the tensor's metadata.
Definition: ITensorInfo.h:40
#define ARM_COMPUTE_ERROR_THROW_ON(status)
Definition: Error.h:455
Status class.
Definition: Error.h:52
#define ARM_COMPUTE_RETURN_ERROR_ON(cond)
If the condition is true, an error is returned.
Definition: Error.h:296
Interface for NEON tensor.
Definition: ITensor.h:36
Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())
Calculate the maximum window for a given tensor shape and border setting.
Definition: Helpers.cpp:28
size_t total_size_lower(size_t dimension) const
Compute size of dimensions lower than the given one.
Definition: TensorShape.h:193
Copyright (c) 2017-2020 ARM Limited.
bool auto_init_if_empty(ITensorInfo &info, const TensorShape &shape, int num_channels, DataType data_type, QuantizationInfo quantization_info=QuantizationInfo())
Auto initialize the tensor info (shape, number of channels and data type) if the current assignment i...
Definition: Helpers.inl:202
T x() const
Alias to access the size of the first dimension.
Definition: Dimensions.h:81
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape, DataLayout data_layout)
Static function to check if given info will lead to a valid configuration of NEConvertFullyConnectedW...
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(...)
Definition: Validate.h:443
Class to describe a number of elements in each dimension.
Definition: Steps.h:40
Coordinates of an item.
Definition: Coordinates.h:37
virtual ITensorInfo * info() const =0
Interface to be implemented by the child class to return the tensor's metadata.
virtual size_t element_size() const =0
Element size in bytes calculated as data_size() * num_channels()
Num samples, channels, height, width.
#define ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(...)
Definition: Validate.h:163
#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)
Definition: Validate.h:161
Information about executing thread and CPU.
Definition: CPPTypes.h:225
virtual size_t total_size() const =0
Returns the total size of the tensor in bytes.
void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout)
Set the input and output tensor.
Num samples, height, width, channels.
void execute_window_loop(const Window &w, L &&lambda_function, Ts &&... iterators)
Iterate through the passed window, automatically adjusting the iterators and calling the lambda_funct...
Definition: Helpers.inl:123
T y() const
Alias to access the size of the second dimension.
Definition: Dimensions.h:86
void run(const Window &window, const ThreadInfo &info) override
Execute the kernel on the passed window.
virtual const Strides & strides_in_bytes() const =0
The strides in bytes for accessing each dimension of the tensor.
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:327
Iterator updated by execute_window_loop for each window element.
Definition: Helpers.h:318
#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)
Definition: Validate.h:205
DataLayout
[DataLayout enum definition]
Definition: Types.h:117
Describe a multidimensional execution window.
Definition: Window.h:39
#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)
Definition: Validate.h:941