1 /*
2 * Copyright (c) 2019-2020 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 "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/functions/CLFFT1D.h"
27 #include "arm_compute/runtime/CL/functions/CLFFT2D.h"
28 #include "arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h"
29 #include "tests/CL/CLAccessor.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 const auto shapes_2d = framework::dataset::make("TensorShape", { TensorShape(2U, 2U, 3U), TensorShape(3U, 6U, 3U),
55 TensorShape(4U, 5U, 3U), TensorShape(5U, 7U, 3U),
56 TensorShape(7U, 25U, 3U), TensorShape(8U, 2U, 3U),
57 TensorShape(9U, 16U, 3U), TensorShape(25U, 32U, 3U),
58 TensorShape(192U, 128U, 2U)
59 });
60
61 const auto ActivationFunctionsSmallDataset = framework::dataset::make("ActivationInfo",
62 {
63 ActivationLayerInfo(),
64 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 0.5f)
65 });
66
67 RelativeTolerance<float> tolerance_f32(0.1f); /**< Relative tolerance value for FP32 */
68 RelativeTolerance<half> tolerance_f16(half(0.1f)); /**< Relative tolerance value for FP16 */
69 constexpr float tolerance_num_f32 = 0.07f; /**< Tolerance number for FP32*/
70 constexpr float tolerance_num_f16 = 0.15f; /**< Tolerance number for FP32*/
71
72 } // namespace
73 TEST_SUITE(CL)
TEST_SUITE(FFT1D)74 TEST_SUITE(FFT1D)
75
76 // *INDENT-OFF*
77 // clang-format off
78 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
79 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching data types
80 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Mismatching shapes
81 TensorInfo(TensorShape(32U, 13U, 2U), 3, DataType::F32), // Invalid channels
82 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Unsupported axis
83 TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT
84 TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32),
85 }),
86 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F16),
87 TensorInfo(TensorShape(16U, 13U, 2U), 2, DataType::F32),
88 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
89 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
90 TensorInfo(TensorShape(11U, 13U, 2U), 2, DataType::F32),
91 TensorInfo(TensorShape(25U, 13U, 2U), 2, DataType::F32),
92 })),
93 framework::dataset::make("Axis", { 0, 0, 0, 2, 0, 0 })),
94 framework::dataset::make("Expected", { false, false, false, false, false, true })),
95 input_info, output_info, axis, expected)
96 {
97 FFT1DInfo desc;
98 desc.axis = axis;
99 const Status s = CLFFT1D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), desc);
100 ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
101 }
102 // clang-format on
103 // *INDENT-ON*
104
105 template <typename T>
106 using CLFFT1DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT1D, FFT1DInfo, T>;
107
108 TEST_SUITE(Float)
TEST_SUITE(FP32)109 TEST_SUITE(FP32)
110 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<float>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F32)))
111 {
112 // Validate output
113 validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32);
114 }
115 TEST_SUITE_END() // FP32
TEST_SUITE(FP16)116 TEST_SUITE(FP16)
117 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT1DFixture<half>, framework::DatasetMode::ALL, combine(shapes_1d, framework::dataset::make("DataType", DataType::F16)))
118 {
119 // Validate output
120 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16);
121 }
122 TEST_SUITE_END() // FP16
TEST_SUITE_END()123 TEST_SUITE_END() // Float
124
125 TEST_SUITE_END() // FFT1D
126
127 TEST_SUITE(FFT2D)
128
129 // *INDENT-OFF*
130 // clang-format off
131 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
132 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching data types
133 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32), // Mismatching shapes
134 TensorInfo(TensorShape(32U, 25U, 2U), 3, DataType::F32), // Invalid channels
135 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32), // Undecomposable FFT
136 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32),
137 }),
138 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F16),
139 TensorInfo(TensorShape(16U, 25U, 2U), 2, DataType::F32),
140 TensorInfo(TensorShape(32U, 25U, 2U), 1, DataType::F32),
141 TensorInfo(TensorShape(32U, 13U, 2U), 2, DataType::F32),
142 TensorInfo(TensorShape(32U, 25U, 2U), 2, DataType::F32),
143 })),
144 framework::dataset::make("Expected", { false, false, false, false, true })),
145 input_info, output_info, expected)
146 {
147 const Status s = CLFFT2D::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), FFT2DInfo());
148 ARM_COMPUTE_EXPECT(bool(s) == expected, framework::LogLevel::ERRORS);
149 }
150 // clang-format on
151 // *INDENT-ON*
152
153 template <typename T>
154 using CLFFT2DFixture = FFTValidationFixture<CLTensor, CLAccessor, CLFFT2D, FFT2DInfo, T>;
155
156 TEST_SUITE(Float)
TEST_SUITE(FP32)157 TEST_SUITE(FP32)
158 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT2DFixture<float>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F32)))
159 {
160 // Validate output
161 validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32);
162 }
163 TEST_SUITE_END() // FP32
TEST_SUITE(FP16)164 TEST_SUITE(FP16)
165 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFT2DFixture<half>, framework::DatasetMode::ALL, combine(shapes_2d, framework::dataset::make("DataType", DataType::F16)))
166 {
167 // Validate output
168 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16);
169 }
170 TEST_SUITE_END() // FP16
171 TEST_SUITE_END() // Float
172 TEST_SUITE_END() // FFT2D
173
174 TEST_SUITE(FFTConvolutionLayer)
175
176 template <typename T>
177 using CLFFTConvolutionLayerFixture = FFTConvolutionValidationFixture<CLTensor, CLAccessor, CLFFTConvolutionLayer, T>;
178 template <typename T>
179 using CLFFTConvolutionLayerMixedDataLayoutFixture = FFTConvolutionValidationFixture<CLTensor, CLAccessor, CLFFTConvolutionLayer, T, true>;
180
181 TEST_SUITE(Float)
TEST_SUITE(FP32)182 TEST_SUITE(FP32)
183 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFTConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(),
184 framework::dataset::make("DataType", DataType::F32)),
185 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
186 ActivationFunctionsSmallDataset))
187 {
188 // Validate output
189 validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32);
190 }
191 FIXTURE_DATA_TEST_CASE(RunMixedDataLayout, CLFFTConvolutionLayerMixedDataLayoutFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(),
192 framework::dataset::make("DataType", DataType::F32)),
193 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
194 ActivationFunctionsSmallDataset))
195 {
196 // Validate output
197 validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num_f32);
198 }
199 TEST_SUITE_END() // FP32
TEST_SUITE(FP16)200 TEST_SUITE(FP16)
201 FIXTURE_DATA_TEST_CASE(RunSmall, CLFFTConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallFFTConvolutionLayerDataset(),
202 framework::dataset::make("DataType", DataType::F16)),
203 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
204 ActivationFunctionsSmallDataset))
205 {
206 // Validate output
207 validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num_f16);
208 }
209 TEST_SUITE_END() // FP16
210 TEST_SUITE_END() // Float
211 TEST_SUITE_END() // FFTConvolutionLayer
212
213 TEST_SUITE_END() // CL
214 } // namespace validation
215 } // namespace test
216 } // namespace arm_compute
217