1 /*
2 * Copyright (c) 2017-2020 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/CLActivationLayer.h"
28 #include "arm_compute/runtime/RuntimeContext.h"
29 #include "tests/CL/CLAccessor.h"
30 #include "tests/PaddingCalculator.h"
31 #include "tests/datasets/ActivationFunctionsDataset.h"
32 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Asserts.h"
34 #include "tests/framework/Macros.h"
35 #include "tests/framework/datasets/Datasets.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/ActivationLayerFixture.h"
38
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 namespace
46 {
47 constexpr AbsoluteTolerance<float> tolerance_qsymm16(1.f);
48
49 /** Define tolerance of the activation layer.
50 *
51 * @param[in] activation The activation function used.
52 * @param[in] data_type Data type.
53 *
54 * @return Tolerance depending on the activation function.
55 */
tolerance(ActivationLayerInfo::ActivationFunction activation,DataType data_type)56 AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type)
57 {
58 constexpr float epsilon = 1e-6f;
59
60 switch(activation)
61 {
62 case ActivationLayerInfo::ActivationFunction::LINEAR:
63 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon);
64 case ActivationLayerInfo::ActivationFunction::SQUARE:
65 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon);
66 case ActivationLayerInfo::ActivationFunction::LOGISTIC:
67 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon);
68 case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
69 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon);
70 case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
71 case ActivationLayerInfo::ActivationFunction::ELU:
72 case ActivationLayerInfo::ActivationFunction::SQRT:
73 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f);
74 case ActivationLayerInfo::ActivationFunction::TANH:
75 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f);
76 case ActivationLayerInfo::ActivationFunction::HARD_SWISH:
77 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : epsilon);
78 default:
79 return AbsoluteTolerance<float>(epsilon);
80 }
81 }
82
83 /** CNN data types */
84 const auto CNNDataTypes = framework::dataset::make("DataType",
85 {
86 DataType::F16,
87 DataType::F32
88 });
89
90 /** Input data sets. */
91 const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
92
93 } // namespace
94
95 TEST_SUITE(CL)
TEST_SUITE(ActivationLayer)96 TEST_SUITE(ActivationLayer)
97 // *INDENT-OFF*
98 // clang-format off
99 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
100 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types
101 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
102 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
103 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
104 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), // Invalid quantization info
105 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
106 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16),
107 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16),
108 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), // Invalid activation function for QSYMM16
109 }),
110 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
111 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
112 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
113 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
114 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8),
115 TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
116 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)),
117 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)),
118 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f / 32768.f, 0)),
119 })),
120 framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
121 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
122 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
123 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU),
124 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH),
125 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
126 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH),
127 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
128 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT),
129 })),
130 framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })),
131 input_info, output_info, act_info, expected)
132 {
133 ARM_COMPUTE_EXPECT(bool(CLActivationLayer::validate(&input_info.clone()->set_is_resizable(false), (output_info.total_size() == 0) ? nullptr : &output_info.clone()->set_is_resizable(false), act_info)) == expected, framework::LogLevel::ERRORS);
134 }
135
136 // clang-format on
137 // *INDENT-ON*
138
139 /** [CLActivationLayerFixture snippet] **/
140 template <typename T>
141 using CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>;
142 /** [CLActivationLayerFixture snippet] **/
143
144 TEST_SUITE(Float)
TEST_SUITE(FP16)145 TEST_SUITE(FP16)
146 /** [CLActivationLayer Test snippet] **/
147 FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ActivationDataset),
148 framework::dataset::make("DataType",
149 DataType::F16)))
150 {
151 // Validate output
152 validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
153 }
154 /** [CLActivationLayer Test snippet] **/
155 TEST_SUITE_END() // FP16
156
TEST_SUITE(FP32)157 TEST_SUITE(FP32)
158 FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType",
159 DataType::F32)))
160 {
161 // Validate output
162 validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
163 }
164 TEST_SUITE_END() // FP32
165 TEST_SUITE_END() // Float
166
167 template <typename T>
168 using CLActivationLayerQuantizedFixture = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T>;
169
170 const auto QuantizedActivationDataset8 = combine(combine(framework::dataset::make("InPlace", { false }),
171 concat(datasets::ActivationFunctionsQuantized(), framework::dataset::make("ActivationFunction", ActivationLayerInfo::ActivationFunction::HARD_SWISH))),
172 framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
173
174 const auto QuantizedActivationDataset16 = combine(combine(framework::dataset::make("InPlace", { false }),
175 datasets::ActivationFunctionsQuantized()),
176 framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
177
178 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)179 TEST_SUITE(QASYMM8)
180 FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8),
181 framework::dataset::make("DataType",
182 DataType::QASYMM8)),
183 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) })))
184 {
185 // Validate output
186 validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
187 }
188 TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)189 TEST_SUITE(QASYMM8_SIGNED)
190 FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset8),
191 framework::dataset::make("DataType",
192 DataType::QASYMM8_SIGNED)),
193 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 10.0f) })))
194 {
195 // Validate output
196 validate(CLAccessor(_target), _reference, tolerance(_function, _data_type));
197 }
198 TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE(QSYMM16)199 TEST_SUITE(QSYMM16)
200 FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerQuantizedFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallShapes(), QuantizedActivationDataset16),
201 framework::dataset::make("DataType",
202 DataType::QSYMM16)),
203 framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 32768.f, 0) })))
204 {
205 // Validate output
206 validate(CLAccessor(_target), _reference, tolerance_qsymm16);
207 }
208 TEST_SUITE_END() // QSYMM16
209 TEST_SUITE_END() // Quantized
210
211 TEST_SUITE_END() // ActivationLayer
212 TEST_SUITE_END() // CL
213 } // namespace validation
214 } // namespace test
215 } // namespace arm_compute
216