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/GLES_COMPUTE/GCTensor.h"
26 #include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
27 #include "arm_compute/runtime/GLES_COMPUTE/functions/GCActivationLayer.h"
28 #include "tests/GLES_COMPUTE/GCAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ActivationFunctionsDataset.h"
31 #include "tests/datasets/ShapeDatasets.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/ActivationLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Define tolerance of the activation layer.
47 *
48 * @param[in] activation The activation function used.
49 * @param[in] data_type Data type.
50 *
51 * @return Tolerance depending on the activation function.
52 */
tolerance(ActivationLayerInfo::ActivationFunction activation,DataType data_type)53 AbsoluteTolerance<float> tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type)
54 {
55 constexpr float epsilon = 1e-6f;
56
57 switch(activation)
58 {
59 case ActivationLayerInfo::ActivationFunction::LINEAR:
60 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.2f : epsilon);
61 case ActivationLayerInfo::ActivationFunction::SQUARE:
62 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.1f : epsilon);
63 case ActivationLayerInfo::ActivationFunction::LOGISTIC:
64 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : epsilon);
65 case ActivationLayerInfo::ActivationFunction::LEAKY_RELU:
66 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.00001f : epsilon);
67 case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
68 case ActivationLayerInfo::ActivationFunction::ELU:
69 case ActivationLayerInfo::ActivationFunction::SQRT:
70 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.01f : 0.00001f);
71 case ActivationLayerInfo::ActivationFunction::TANH:
72 return AbsoluteTolerance<float>(data_type == DataType::F16 ? 0.001f : 0.00001f);
73 default:
74 return AbsoluteTolerance<float>(epsilon);
75 }
76 }
77
78 /** CNN data types */
79 const auto CNNDataTypes = framework::dataset::make("DataType",
80 {
81 DataType::F16,
82 DataType::F32,
83 });
84
85 /** Input data sets. */
86 const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f }));
87 } // namespace
88
89 TEST_SUITE(GC)
90 TEST_SUITE(ActivationLayer)
91 template <typename T>
92 using GCActivationLayerFixture = ActivationValidationFixture<GCTensor, GCAccessor, GCActivationLayer, T>;
93
94 TEST_SUITE(Float)
TEST_SUITE(FP16)95 TEST_SUITE(FP16)
96 FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset),
97 framework::dataset::make("DataType",
98 DataType::F16)))
99 {
100 // Validate output
101 validate(GCAccessor(_target), _reference, tolerance(_function, _data_type));
102 }
103 FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset),
104 framework::dataset::make("DataType",
105 DataType::F16)))
106 {
107 // Validate output
108 validate(GCAccessor(_target), _reference, tolerance(_function, _data_type));
109 }
110 TEST_SUITE_END()
111
TEST_SUITE(FP32)112 TEST_SUITE(FP32)
113 FIXTURE_DATA_TEST_CASE(RunSmall, GCActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType",
114 DataType::F32)))
115 {
116 // Validate output
117 validate(GCAccessor(_target), _reference, tolerance(_function, _data_type));
118 }
119 FIXTURE_DATA_TEST_CASE(RunLarge, GCActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType",
120 DataType::F32)))
121 {
122 // Validate output
123 validate(GCAccessor(_target), _reference, tolerance(_function, _data_type));
124 }
125 TEST_SUITE_END()
126 TEST_SUITE_END()
127
128 TEST_SUITE_END()
129 TEST_SUITE_END()
130 } // namespace validation
131 } // namespace test
132 } // namespace arm_compute
133