Compute Library
 21.08
MaxUnpoolingLayer.cpp
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24 #include "MaxUnpoolingLayer.h"
25 
26 #include "arm_compute/core/Types.h"
29 
30 namespace arm_compute
31 {
32 namespace test
33 {
34 namespace validation
35 {
36 namespace reference
37 {
39 
40 template <typename T>
42  const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
44 {
45  ARM_COMPUTE_UNUSED(info);
46  ARM_COMPUTE_UNUSED(output_qinfo);
47  ARM_COMPUTE_UNUSED(data_layout);
48  // Create reference
50  ARM_COMPUTE_ERROR_ON(indices.shape().total_size() == 0);
51  std::fill_n(dst.data(), dst.num_elements(), 0);
52  const auto w_indices = static_cast<int>(indices.shape()[0]);
53  const auto h_indices = static_cast<int>(indices.shape()[1]);
54  const auto z_indices = static_cast<int>(indices.shape()[2]);
55  const auto b_indices = static_cast<int>(indices.shape()[3]);
56  const auto w_dst = static_cast<int>(dst.shape()[0]);
57  const auto h_dst = static_cast<int>(dst.shape()[1]);
58  const auto z_dst = static_cast<int>(dst.shape()[2]);
59  for(int b = 0; b < b_indices; ++b)
60  {
61  for(int r = 0; r < z_indices; ++r)
62  {
63  for(int h = 0; h < h_indices; ++h)
64  {
65  for(int w = 0; w < w_indices; ++w)
66  {
67  const uint32_t index_into_dst = indices[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w];
68  const auto input_val = src[b * z_indices * h_indices * w_indices + r * h_indices * w_indices + h * w_indices + w];
69  auto *ptr = &dst[b * z_dst * h_dst * w_dst];
70  ptr[index_into_dst] = input_val;
71  }
72  }
73  }
74  }
75  return dst;
76 }
77 
78 template <>
81  const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
83 
84 {
86  SimpleTensor<float> dst_tmp = max_unpooling_layer_internal<float>(src_tmp, info, output_qinfo, indices, output_shape, data_layout);
87  SimpleTensor<uint8_t> dst = convert_to_asymmetric<uint8_t>(dst_tmp, output_qinfo);
88  return dst;
89 }
90 
91 template <typename T>
93  const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
94  TensorShape output_shape, DataLayout data_layout)
95 {
96  return max_unpooling_layer_internal<T>(src, info, output_qinfo, indices, output_shape, data_layout);
97 }
98 
100  const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
101  TensorShape output_shape, DataLayout data_layout);
103  const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
104  TensorShape output_shape, DataLayout data_layout);
105 
106 } // namespace reference
107 } // namespace validation
108 } // namespace test
109 } // namespace arm_compute
SimpleTensor< float > w
Definition: DFT.cpp:156
Shape of a tensor.
Definition: TensorShape.h:39
SimpleTensor< float > b
Definition: DFT.cpp:157
DataType data_type() const override
Data type of the tensor.
Definition: SimpleTensor.h:357
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
const DataLayout data_layout
Definition: Im2Col.cpp:151
SimpleTensor< float > convert_from_asymmetric(const SimpleTensor< uint8_t > &src)
Definition: Helpers.cpp:36
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 > max_unpooling_layer_internal(const SimpleTensor< T > &src, const PoolingLayerInfo &info, const QuantizationInfo &output_qinfo, SimpleTensor< uint32_t > &indices, TensorShape output_shape, DataLayout data_layout)
Quantization information.
#define ARM_COMPUTE_UNUSED(...)
To avoid unused variables warnings.
Definition: Error.h:152
SimpleTensor< T > max_unpooling_layer(const SimpleTensor< T > &src, const PoolingLayerInfo &info, const QuantizationInfo &output_qinfo, SimpleTensor< uint32_t > &indices, TensorShape output_shape, DataLayout data_layout)
Pooling Layer Information struct.
Definition: Types.h:1139
SimpleTensor< uint8_t > max_unpooling_layer< uint8_t >(const SimpleTensor< uint8_t > &src, const PoolingLayerInfo &info, const QuantizationInfo &output_qinfo, SimpleTensor< uint32_t > &indices, TensorShape output_shape, DataLayout data_layout)
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
ScaleKernelInfo info(interpolation_policy, default_border_mode, PixelValue(), sampling_policy, false)
DataLayout
[DataLayout enum definition]
Definition: Types.h:111