Compute Library
 21.02
Helpers.cpp
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25 
26 namespace arm_compute
27 {
29  InterpolationPolicy interpolate_policy, SamplingPolicy sampling_policy, bool border_undefined)
30 {
31  const DataLayout data_layout = src_info.data_layout();
34 
35  const float scale_x = static_cast<float>(dst_shape[idx_width]) / src_info.tensor_shape()[idx_width];
36  const float scale_y = static_cast<float>(dst_shape[idx_height]) / src_info.tensor_shape()[idx_height];
37  const float sampling_point = (sampling_policy == SamplingPolicy::CENTER) ? 0.5f : 0.0f;
38 
39  // Get input's valid region start and end points
40  const int valid_start_in_x = src_info.valid_region().anchor[idx_width];
41  const int valid_start_in_y = src_info.valid_region().anchor[idx_height];
42  const int valid_end_in_x = src_info.valid_region().anchor[idx_width] + src_info.valid_region().shape[idx_width];
43  const int valid_end_in_y = src_info.valid_region().anchor[idx_height] + src_info.valid_region().shape[idx_height];
44 
45  // Initialize output's valid region start and end points
46  auto valid_start_out_x = static_cast<int>(valid_start_in_x * scale_x);
47  auto valid_start_out_y = static_cast<int>(valid_start_in_y * scale_y);
48  auto valid_end_out_x = std::min<int>(std::ceil(valid_end_in_x * scale_x), dst_shape[idx_width]);
49  auto valid_end_out_y = std::min<int>(std::ceil(valid_end_in_y * scale_y), dst_shape[idx_height]);
50 
51  // Handle valid points in case of the bi-linear interpolation
52  if(border_undefined)
53  {
54  switch(interpolate_policy)
55  {
57  {
58  // (start_out + sampling_point) >= (start_in * scale)
59  // start_out = ceil((start_in * scale) - sampling_point)
60  valid_start_out_x = std::ceil(valid_start_in_x * scale_x - sampling_point);
61  valid_start_out_y = std::ceil(valid_start_in_y * scale_y - sampling_point);
62 
63  // (end_out - 1 + sampling_point) < (end_in * scale)
64  // end_out = ceil((end_in * scale) - sampling_point); // <-- ceil(x - 1) strictly less
65  valid_end_out_x = std::ceil(valid_end_in_x * scale_x - sampling_point);
66  valid_end_out_y = std::ceil(valid_end_in_y * scale_y - sampling_point);
67  break;
68  }
70  {
71  // (start_out + sampling_point) >= ((start_in + sampling_point) * scale)
72  // start_out = ceil(((start_in + sampling_point) * scale) - sampling_point)
73  valid_start_out_x = std::ceil((valid_start_in_x + sampling_point) * scale_x - sampling_point);
74  valid_start_out_y = std::ceil((valid_start_in_y + sampling_point) * scale_y - sampling_point);
75 
76  // (end_out - 1 + sampling_point) <= ((end_in - 1 + sampling_point) * scale)
77  // end_out = floor(((end_in - 1 + sampling_point) * scale) - sampling_point + 1)
78  valid_end_out_x = std::floor((valid_end_in_x - 1.f + sampling_point) * scale_x - sampling_point + 1.f);
79  valid_end_out_y = std::floor((valid_end_in_y - 1.f + sampling_point) * scale_y - sampling_point + 1.f);
80  break;
81  }
83  break;
84  default:
85  {
86  ARM_COMPUTE_ERROR("Invalid InterpolationPolicy");
87  break;
88  }
89  }
90  }
91 
92  // Setup output valid region
94 
95  valid_region.anchor.set(idx_width, std::max(0, valid_start_out_x));
96  valid_region.anchor.set(idx_height, std::max(0, valid_start_out_y));
97 
98  valid_region.shape.set(idx_width, std::min<size_t>(valid_end_out_x - valid_start_out_x, dst_shape[idx_width]));
99  valid_region.shape.set(idx_height, std::min<size_t>(valid_end_out_y - valid_start_out_y, dst_shape[idx_height]));
100 
101  return valid_region;
102 }
103 } // namespace arm_compute
void set(size_t dimension, T value, bool increase_dim_unit=true)
Accessor to set the value of one of the dimensions.
Definition: Dimensions.h:76
InterpolationPolicy
Interpolation method.
Definition: Types.h:392
Shape of a tensor.
Definition: TensorShape.h:39
TensorShape shape
Shape of the valid region.
Definition: Types.h:261
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
Definition: Error.h:352
Output values are defined by bilinear interpolation between the pixels.
const DataLayout data_layout
Definition: Im2Col.cpp:151
Store the tensor&#39;s metadata.
Definition: ITensorInfo.h:40
Output values are defined to match the source pixel whose center is nearest to the sample position...
const ValidRegion valid_region
Definition: Scale.cpp:221
Copyright (c) 2017-2021 Arm Limited.
virtual ValidRegion valid_region() const =0
Valid region of the tensor.
Samples are taken at pixel center.
virtual const TensorShape & tensor_shape() const =0
Size for each dimension of the tensor.
Coordinates of an item.
Definition: Coordinates.h:37
Output values are determined by averaging the source pixels whose areas fall under the area of the de...
TensorInfo src_info(src_shape, 1, data_type)
ValidRegion calculate_valid_region_scale(const ITensorInfo &src_info, const TensorShape &dst_shape, InterpolationPolicy interpolate_policy, SamplingPolicy sampling_policy, bool border_undefined)
Helper function to calculate the Valid Region for Scale.
Definition: Helpers.cpp:28
unsigned int num_dimensions() const
Returns the effective dimensionality of the tensor.
Definition: Dimensions.h:143
Container for valid region of a window.
Definition: Types.h:188
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:120
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
Coordinates anchor
Anchor for the start of the valid region.
Definition: Types.h:260
SamplingPolicy
Available Sampling Policies.
Definition: Types.h:102
virtual DataLayout data_layout() const =0
Get the data layout of the tensor.