1 /*
2 * Copyright (c) 2019-2021 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 "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEFFT1D.h"
26 #include "arm_compute/runtime/NEON/functions/NEFFT2D.h"
27 #include "arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h"
28 #include "arm_compute/runtime/Tensor.h"
29 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/SmallConvolutionLayerDataset.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/FFTFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
46 const auto shapes_1d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 2U, 3U),
47 TensorShape(4U, 2U, 3U), TensorShape(5U, 2U, 3U),
48 TensorShape(7U, 2U, 3U), TensorShape(8U, 2U, 3U),
49 TensorShape(9U, 2U, 3U), TensorShape(25U, 2U, 3U),
50 TensorShape(49U, 2U, 3U), TensorShape(64U, 2U, 3U),
51 TensorShape(16U, 2U, 3U), TensorShape(32U, 2U, 3U),
52 TensorShape(96U, 2U, 2U)
53 });
54
55 const auto shapes_2d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 6U, 3U),
56 TensorShape(4U, 5U, 3U), TensorShape(5U, 7U, 3U),
57 TensorShape(7U, 25U, 3U), TensorShape(8U, 2U, 3U),
58 TensorShape(9U, 16U, 3U), TensorShape(25U, 32U, 3U),
59 TensorShape(192U, 128U, 2U)
60 });
61
62 const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo",
63 {
64 ActivationLayerInfo(),
65 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f)
66 });
67
68 RelativeTolerance<float> tolerance_f32(0.1f); /**< Relative tolerance value for FP32 */
69 constexpr float tolerance_num = 0.07f; /**< Tolerance number */
70
71 } // namespace
72 TEST_SUITE(NEON)
TEST_SUITE(FFT1D)73 TEST_SUITE(FFT1D)
74
75 // *INDENT-OFF*
76 // clang-format off
77 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
78 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching data types
79 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching shapes
80 TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), // Invalid channels
81 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Unsupported axis
82 TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT
83 TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32),
84 }),
85 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16),
86 TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32),
87 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
88 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
89 TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32),
90 TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32),
91 })),
92 framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })),
93 framework::dataset::make("Expected", { false, false, false, false, false, true })),
94 input_info, output_info, axis, expected)
95 {
96 FFT1DInfo desc;
97 desc.axis = axis;
98 const Status s = NEFFT1D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), desc);
99 ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
100 }
101 // clang-format on
102 // *INDENT-ON*
103
104 template <typename T>
105 using NEFFT1DFixture = FFTValidationFixture<Tensor, Accessor, NEFFT1D, FFT1DInfo, T>;
106
107 TEST_SUITE(Float)
TEST_SUITE(FP32)108 TEST_SUITE(FP32)
109 FIXTURE_DATA_TEST_CASE(RunSmall, NEFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F32)))
110 {
111 // Validate output
112 validate(Accessor(_target), _reference, tolerance_f32, tolerance_num);
113 }
114 TEST_SUITE_END() // FP32
TEST_SUITE_END()115 TEST_SUITE_END() // Float
116 TEST_SUITE_END() // FFT1D
117
118 TEST_SUITE(FFT2D)
119 // *INDENT-OFF*
120 // clang-format off
121 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
122 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching data types
123 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching shapes
124 TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), // Invalid channels
125 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT
126 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32),
127 }),
128 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16),
129 TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32),
130 TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32),
131 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
132 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32),
133 })),
134 framework::dataset::make("Expected", { false, false, false, false, true })),
135 input_info, output_info, expected)
136 {
137 const Status s = NEFFT2D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), FFT2DInfo());
138 ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
139 }
140 // clang-format on
141 // *INDENT-ON*
142
143 template <typename T>
144 using NEFFT2DFixture = FFTValidationFixture<Tensor, Accessor, NEFFT2D, FFT2DInfo, T>;
145
146 TEST_SUITE(Float)
TEST_SUITE(FP32)147 TEST_SUITE(FP32)
148 FIXTURE_DATA_TEST_CASE(RunSmall, NEFFT2DFixture<float>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F32)))
149 {
150 // Validate output
151 validate(Accessor(_target), _reference, tolerance_f32, tolerance_num);
152 }
153 TEST_SUITE_END() // FP32
154 TEST_SUITE_END() // Float
155 TEST_SUITE_END() // FFT2D
156
157 TEST_SUITE(FFTConvolutionLayer)
158
159 template <typename T>
160 using NEFFTConvolutionLayerFixture = FFTConvolutionValidationFixture<Tensor, Accessor, NEFFTConvolutionLayer, T>;
161 template <typename T>
162 using NEFFTConvolutionLayerMixedDataLayoutFixture = FFTConvolutionValidationFixture<Tensor, Accessor, NEFFTConvolutionLayer, T, true>;
163
164 TEST_SUITE(Float)
TEST_SUITE(FP32)165 TEST_SUITE(FP32)
166 FIXTURE_DATA_TEST_CASE(RunSmall, NEFFTConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(),
167 framework::dataset::make("DataType", DataType::F32)),
168 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
169 ActivationFunctionsSmallDataset))
170 {
171 // Validate output
172 validate(Accessor(_target), _reference, tolerance_f32, tolerance_num);
173 }
174 FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, NEFFTConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(),
175 framework::dataset::make("DataType", DataType::F32)),
176 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
177 ActivationFunctionsSmallDataset))
178 {
179 // Validate output
180 validate(Accessor(_target), _reference, tolerance_f32, tolerance_num);
181 }
182 TEST_SUITE_END() // FP32
183 TEST_SUITE_END() // Float
184 TEST_SUITE_END() // FFTConvolutionLayer
185 TEST_SUITE_END() // Neon
186 } // namespace validation
187 } // namespace test
188 } // namespace arm_compute
189