1 /*
2 * Copyright (c) 2020 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "MaxUnpoolingLayer.h"
25
26 #include "arm_compute/core/Types.h"
27 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
28 #include "tests/validation/Helpers.h"
29
30 namespace arm_compute
31 {
32 namespace test
33 {
34 namespace validation
35 {
36 namespace reference
37 {
38 using namespace arm_compute::misc::shape_calculator;
39
40 template <typename 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)41 SimpleTensor<T> max_unpooling_layer_internal(const SimpleTensor<T> &src, const PoolingLayerInfo &info,
42 const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
43 TensorShape output_shape, DataLayout data_layout)
44 {
45 ARM_COMPUTE_UNUSED(info);
46 ARM_COMPUTE_UNUSED(output_qinfo);
47 ARM_COMPUTE_UNUSED(data_layout);
48 // Create reference
49 SimpleTensor<T> dst{ output_shape, src.data_type(), 1 };
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 <>
max_unpooling_layer(const SimpleTensor<uint8_t> & src,const PoolingLayerInfo & info,const QuantizationInfo & output_qinfo,SimpleTensor<uint32_t> & indices,TensorShape output_shape,DataLayout data_layout)79 SimpleTensor<uint8_t> max_unpooling_layer<uint8_t>(
80 const SimpleTensor<uint8_t> &src, const PoolingLayerInfo &info,
81 const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
82 TensorShape output_shape, DataLayout data_layout)
83
84 {
85 SimpleTensor<float> src_tmp = convert_from_asymmetric(src);
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>
max_unpooling_layer(const SimpleTensor<T> & src,const PoolingLayerInfo & info,const QuantizationInfo & output_qinfo,SimpleTensor<uint32_t> & indices,TensorShape output_shape,DataLayout data_layout)92 SimpleTensor<T> max_unpooling_layer(const SimpleTensor<T> &src, const PoolingLayerInfo &info,
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
99 template SimpleTensor<float> max_unpooling_layer(const SimpleTensor<float> &src, const PoolingLayerInfo &info,
100 const QuantizationInfo &output_qinfo, SimpleTensor<uint32_t> &indices,
101 TensorShape output_shape, DataLayout data_layout);
102 template SimpleTensor<half> max_unpooling_layer(const SimpleTensor<half> &src, const PoolingLayerInfo &info,
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
110