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Michele Di Giorgio72175632018-05-01 16:52:00 +01001/*
2 * Copyright (c) 2018 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#ifndef ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_FIXTURE
25#define ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_FIXTURE
26
27#include "arm_compute/core/Helpers.h"
28#include "arm_compute/core/TensorShape.h"
29#include "arm_compute/core/Types.h"
30#include "arm_compute/runtime/Tensor.h"
31#include "tests/AssetsLibrary.h"
32#include "tests/Globals.h"
33#include "tests/IAccessor.h"
34#include "tests/framework/Asserts.h"
35#include "tests/framework/Fixture.h"
36#include "tests/validation/reference/ChannelShuffle.h"
37
38namespace arm_compute
39{
40namespace test
41{
42namespace validation
43{
44template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
45class ChannelShuffleLayerValidationFixture : public framework::Fixture
46{
47public:
48 template <typename...>
Gian Marco Iodice8bab0ee2018-09-13 11:51:56 +010049 void setup(TensorShape shape, unsigned int num_groups, DataType data_type, DataLayout data_layout)
Michele Di Giorgio72175632018-05-01 16:52:00 +010050 {
Gian Marco Iodice8bab0ee2018-09-13 11:51:56 +010051 _target = compute_target(shape, data_type, num_groups, data_layout);
Michele Di Giorgio72175632018-05-01 16:52:00 +010052 _reference = compute_reference(shape, data_type, num_groups);
53 }
54
55protected:
56 template <typename U>
57 void fill(U &&tensor)
58 {
59 library->fill_tensor_uniform(tensor, 0);
60 }
61
Gian Marco Iodice8bab0ee2018-09-13 11:51:56 +010062 TensorType compute_target(TensorShape shape, DataType data_type, unsigned int num_groups, DataLayout data_layout)
Michele Di Giorgio72175632018-05-01 16:52:00 +010063 {
Gian Marco Iodice8bab0ee2018-09-13 11:51:56 +010064 // Note: The input shape passed to the function is always in NCHW
65 if(data_layout == DataLayout::NHWC)
66 {
67 permute(shape, PermutationVector(2U, 0U, 1U));
68 }
69
Michele Di Giorgio72175632018-05-01 16:52:00 +010070 // Create tensors
Gian Marco Iodice8bab0ee2018-09-13 11:51:56 +010071 TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout);
72 TensorType dst;
Michele Di Giorgio72175632018-05-01 16:52:00 +010073
74 // Create and configure function
75 FunctionType channel_shuffle_func;
76 channel_shuffle_func.configure(&src, &dst, num_groups);
77
78 ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
79 ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
80
81 // Allocate tensors
82 src.allocator()->allocate();
83 dst.allocator()->allocate();
84
85 ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
86 ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
87
88 // Fill tensors
89 fill(AccessorType(src));
90
91 // Compute function
92 channel_shuffle_func.run();
93
94 return dst;
95 }
96
97 SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, unsigned int num_groups)
98 {
99 // Create reference
100 SimpleTensor<T> src{ shape, data_type };
101
102 // Fill reference
103 fill(src);
104
105 return reference::channel_shuffle<T>(src, num_groups);
106 }
107
108 TensorType _target{};
109 SimpleTensor<T> _reference{};
110};
111} // namespace validation
112} // namespace test
113} // namespace arm_compute
114#endif /* ARM_COMPUTE_TEST_CHANNEL_SHUFFLE_FIXTURE */