1 /*
2 * Copyright (c) 2018-2020 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/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h"
28 #include "arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h"
29 #include "tests/CL/CLAccessor.h"
30 #include "tests/PaddingCalculator.h"
31 #include "tests/datasets/DilatedConvolutionLayerDataset.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/ConvolutionLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 RelativeTolerance<float> rel_tolerance_f32(0.05f); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F32 */
47 RelativeTolerance<half_float::half> rel_tolerance_f16(half_float::half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for DataType::F16 */
48 constexpr AbsoluteTolerance<float> abs_tolerance_qasymm8(1); /**< Relative tolerance value for comparing reference's output against implementation's output for quantized data types */
49 constexpr float abs_tolerance_f32 = 0.001f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F32 */
50 constexpr float abs_tolerance_f16 = 0.3f; /**< Absolute tolerance value for comparing reference's output against implementation's output for DataType::F16 */
51 constexpr float tolerance_num_f16 = 0.07f; /**< Tolerance number for FP16 */
52
53 /** CNN data types */
54 const auto CNNDataTypes = framework::dataset::make("DataType",
55 {
56 DataType::F16,
57 DataType::F32,
58 DataType::QASYMM8,
59 });
60 } // namespace
61
62 TEST_SUITE(CL)
TEST_SUITE(DilatedConvolutionLayer)63 TEST_SUITE(DilatedConvolutionLayer)
64
65 DATA_TEST_CASE(ValidateConvolutionMethod, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
66 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32),
67 TensorInfo(TensorShape(17U, 31U, 2U), 1, DataType::F32),
68 TensorInfo(TensorShape(23U, 27U, 23U, 4U), 1, DataType::F32),
69 TensorInfo(TensorShape(3U, 3U, 2U, 1U), 1, DataType::F32),
70 TensorInfo(TensorShape(33U, 27U, 7U, 4U), 1, DataType::F32)
71 }),
72 framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32),
73 TensorInfo(TensorShape(5U, 5U, 2U, 19U), 1, DataType::F32),
74 TensorInfo(TensorShape(3U, 3U, 23U, 21U), 1, DataType::F32),
75 TensorInfo(TensorShape(3U, 3U, 5U, 21U), 1, DataType::F32),
76 TensorInfo(TensorShape(5U, 5U, 7U, 16U), 1, DataType::F16)
77 })),
78 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32),
79 TensorInfo(TensorShape(15U, 15U, 19U), 1, DataType::F32),
80 TensorInfo(TensorShape(21U, 25U, 21U, 4U), 1, DataType::F32),
81 TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
82 TensorInfo(TensorShape(11U, 12U, 16U, 4U), 1, DataType::F32)
83 })),
84 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 2, 1, 1),
85 PadStrideInfo(1, 2, 1, 1),
86 PadStrideInfo(1, 1, 0, 0),
87 PadStrideInfo(2, 1, 0, 0),
88 PadStrideInfo(3, 2, 1, 0)
89 })),
90 framework::dataset::make("GpuTarget", { GPUTarget::BIFROST,
91 GPUTarget::MIDGARD,
92 GPUTarget::G71,
93 GPUTarget::MIDGARD,
94 GPUTarget::BIFROST
95 })),
96 framework::dataset::make("Dilation", { Size2D(1U, 1U),
97 Size2D(1U, 1U),
98 Size2D(1U, 1U),
99 Size2D(2U, 2U),
100 Size2D(3U, 3U)
101 })),
102
103 framework::dataset::make("Expected", { ConvolutionMethod::GEMM, ConvolutionMethod::GEMM, ConvolutionMethod::WINOGRAD, ConvolutionMethod::GEMM, ConvolutionMethod::GEMM })),
104 input_info, weights_info, output_info, conv_info, gpu_target, dilation, expected)
105 {
106 ConvolutionMethod is_valid = CLConvolutionLayer::get_convolution_method(&input_info.clone()->set_is_resizable(true),
107 &weights_info.clone()->set_is_resizable(true),
108 &output_info.clone()->set_is_resizable(true), conv_info, WeightsInfo(), ActivationLayerInfo(), gpu_target, dilation);
109 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
110 }
111
112 TEST_SUITE_END()
113
114 TEST_SUITE(GEMMDilatedConvolutionLayer)
115
116 template <typename T>
117 using CLGEMMDilatedConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;
118
119 TEST_SUITE(Float)
TEST_SUITE(FP16)120 TEST_SUITE(FP16)
121 FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(),
122 framework::dataset::make("ReshapeWeights", { true })),
123 framework::dataset::make("DataType", DataType::F16)),
124 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
125 framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo())))
126 {
127 // Validate output
128 validate(CLAccessor(_target), _reference, rel_tolerance_f16, 0.0f, abs_tolerance_f16);
129 }
130
131 FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(),
132 framework::dataset::make("ReshapeWeights", { true })),
133 framework::dataset::make("DataType", DataType::F16)),
134 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
135 framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo())))
136 {
137 // Validate output
138 validate(CLAccessor(_target), _reference, rel_tolerance_f16, tolerance_num_f16);
139 }
140
141 TEST_SUITE_END()
142
TEST_SUITE(FP32)143 TEST_SUITE(FP32)
144 FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(),
145 framework::dataset::make("ReshapeWeights", { true })),
146 framework::dataset::make("DataType", DataType::F32)),
147 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
148 framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo())))
149 {
150 // Validate output
151 validate(CLAccessor(_target), _reference, rel_tolerance_f32);
152 }
153
154 FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(),
155 framework::dataset::make("ReshapeWeights", { true })),
156 framework::dataset::make("DataType", DataType::F32)),
157 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
158 framework::dataset::make("ActivationLayerInfo", ActivationLayerInfo())))
159 {
160 // Validate output
161 validate(CLAccessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32);
162 }
163 TEST_SUITE_END()
164 TEST_SUITE_END()
165
166 template <typename T>
167 using CLGEMMDilatedConvolutionLayerQuantizedFixture = ConvolutionValidationQuantizedFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;
168
169 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)170 TEST_SUITE(QASYMM8)
171 FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMDilatedConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
172 combine(combine(combine(combine(combine(datasets::SmallDilatedConvolutionLayerDataset(),
173 framework::dataset::make("ReshapeWeights", { true })),
174 framework::dataset::make("DataType", DataType::QASYMM8)),
175 framework::dataset::make("DataLayout", { DataLayout::NCHW })),
176 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
177 framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })))
178 {
179 // Validate output
180 validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8);
181 }
182
183 FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMDilatedConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
184 combine(combine(combine(combine(combine(datasets::LargeDilatedConvolutionLayerDataset(),
185 framework::dataset::make("ReshapeWeights", { true })),
186 framework::dataset::make("DataType", DataType::QASYMM8)),
187 framework::dataset::make("DataLayout", { DataLayout::NCHW })),
188 framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 0) })),
189 framework::dataset::make("ActivationLayerInfo", { ActivationLayerInfo() })))
190 {
191 // Validate output
192 validate(CLAccessor(_target), _reference, abs_tolerance_qasymm8);
193 }
194 TEST_SUITE_END()
195 TEST_SUITE_END()
196
197 TEST_SUITE_END()
198 TEST_SUITE_END()
199 } // namespace validation
200 } // namespace test
201 } // namespace arm_compute
202