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Manuel Bottini5b7d5372019-05-17 14:04:22 +01001/*
Giorgio Arena33b103b2021-01-08 10:37:15 +00002 * Copyright (c) 2019-2021 Arm Limited.
Manuel Bottini5b7d5372019-05-17 14:04:22 +01003 *
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#ifndef ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE
25#define ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE
26
Ramy Elgammalca1a52d2022-11-18 16:03:21 +000027#include "arm_compute/core/utils/misc/ShapeCalculator.h"
Manuel Bottini5b7d5372019-05-17 14:04:22 +010028#include "tests/Globals.h"
29#include "tests/framework/Asserts.h"
30#include "tests/framework/Fixture.h"
31#include "tests/validation/reference/SpaceToDepth.h"
32
33namespace arm_compute
34{
35namespace test
36{
37namespace validation
38{
39template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
40class SpaceToDepthLayerValidationFixture : public framework::Fixture
41{
42public:
43 template <typename...>
44 void setup(TensorShape input_shape, TensorShape output_shape, const int block_shape, DataType data_type, DataLayout data_layout)
45 {
46 _target = compute_target(input_shape, output_shape, block_shape, data_type, data_layout);
47 _reference = compute_reference(input_shape, output_shape, block_shape, data_type);
48 }
49
50protected:
51 template <typename U>
52 void fill(U &&tensor, int i)
53 {
Giorgio Arena4bdd1772020-12-17 16:47:07 +000054 static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported.");
Giorgio Arena33b103b2021-01-08 10:37:15 +000055 using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type;
Giorgio Arena4bdd1772020-12-17 16:47:07 +000056
57 DistributionType distribution{ T(-1.0f), T(1.0f) };
Manuel Bottini5b7d5372019-05-17 14:04:22 +010058 library->fill(tensor, distribution, i);
59 }
60 TensorType compute_target(TensorShape input_shape, TensorShape output_shape, const int block_shape,
61 DataType data_type, DataLayout data_layout)
62 {
63 if(data_layout == DataLayout::NHWC)
64 {
65 permute(input_shape, PermutationVector(2U, 0U, 1U));
66 permute(output_shape, PermutationVector(2U, 0U, 1U));
67 }
68
69 // Create tensors
70 TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
71 TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, QuantizationInfo(), data_layout);
72
Ramy Elgammalca1a52d2022-11-18 16:03:21 +000073 auto calc_out_shape = misc::shape_calculator::compute_space_to_depth_shape(input.info(), block_shape);
74 ARM_COMPUTE_ASSERT(output_shape[0] == calc_out_shape[0]);
75 ARM_COMPUTE_ASSERT(output_shape[1] == calc_out_shape[1]);
76 ARM_COMPUTE_ASSERT(output_shape[2] == calc_out_shape[2]);
77 ARM_COMPUTE_ASSERT(output_shape[3] == calc_out_shape[3]);
78
Manuel Bottini5b7d5372019-05-17 14:04:22 +010079 // Create and configure function
80 FunctionType space_to_depth;
81 space_to_depth.configure(&input, &output, block_shape);
82
Michele Di Giorgio4fc10b32021-04-30 18:30:41 +010083 ARM_COMPUTE_ASSERT(input.info()->is_resizable());
84 ARM_COMPUTE_ASSERT(output.info()->is_resizable());
Manuel Bottini5b7d5372019-05-17 14:04:22 +010085
86 // Allocate tensors
87 input.allocator()->allocate();
88 output.allocator()->allocate();
89
Michele Di Giorgio4fc10b32021-04-30 18:30:41 +010090 ARM_COMPUTE_ASSERT(!input.info()->is_resizable());
91 ARM_COMPUTE_ASSERT(!output.info()->is_resizable());
Manuel Bottini5b7d5372019-05-17 14:04:22 +010092
93 // Fill tensors
94 fill(AccessorType(input), 0);
95 // Compute function
96 space_to_depth.run();
97
98 return output;
99 }
100
101 SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &output_shape,
102 const int block_shape, DataType data_type)
103 {
104 // Create reference
105 SimpleTensor<T> input{ input_shape, data_type };
106
107 // Fill reference
108 fill(input, 0);
109
110 // Compute reference
111 return reference::space_to_depth(input, output_shape, block_shape);
112 }
113
114 TensorType _target{};
115 SimpleTensor<T> _reference{};
116};
117} // namespace validation
118} // namespace test
119} // namespace arm_compute
120#endif /* ARM_COMPUTE_TEST_SPACE_TO_DEPTH_LAYER_FIXTURE */