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/GCDirectConvolutionLayer.h"
28 #include "tests/GLES_COMPUTE/GCAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.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/DirectConvolutionLayerFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<half> tolerance_fp16(half(0.2)); /**< Tolerance for floating point tests */
46 RelativeTolerance<float> tolerance_fp32(0.02f); /**< Tolerance for floating point tests */
47 constexpr float tolerance_num = 0.07f; /**< Tolerance number */
48
49 /** Direct convolution data set. */
50 const auto data_quantized = combine(datasets::SmallDirectConvolutionShapes(),
51 combine(framework::dataset::make("StrideX", 1, 3),
52 combine(framework::dataset::make("StrideY", 1, 3),
53 combine(concat(combine(framework::dataset::make("PadX", 0),
54 combine(framework::dataset::make("PadY", 0),
55 framework::dataset::make("KernelSize", 1))),
56 combine(framework::dataset::make("PadX", 0, 2),
57 combine(framework::dataset::make("PadY", 0, 2),
58 framework::dataset::make("KernelSize", { 3 })))),
59 framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
60
61 const auto data = combine(datasets::SmallDirectConvolutionShapes(),
62 combine(framework::dataset::make("StrideX", 1, 3),
63 combine(framework::dataset::make("StrideY", 1, 3),
64 combine(concat(combine(framework::dataset::make("PadX", 0),
65 combine(framework::dataset::make("PadY", 0),
66 framework::dataset::make("KernelSize", 1))),
67 combine(framework::dataset::make("PadX", 0, 2),
68 combine(framework::dataset::make("PadY", 0, 2),
69 framework::dataset::make("KernelSize", { 3, 5 })))),
70 framework::dataset::make("NumKernels", { 1, 4, 8, 16 })))));
71 /** Activation function Dataset*/
72 const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
73 {
74 ActivationLayerInfo(),
75 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC),
76 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
77 });
78 } // namespace
79
80 TEST_SUITE(GC)
81 TEST_SUITE(DirectConvolutionLayer)
82
83 template <typename T>
84 using GCDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<GCTensor, GCAccessor, GCDirectConvolutionLayer, T>;
85
86 TEST_SUITE(Float)
TEST_SUITE(FP16)87 TEST_SUITE(FP16)
88 FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make("DataType", DataType::F16)),
89 ActivationFunctionsDataset),
90 framework::dataset::make("DataLayout", DataLayout::NCHW)))
91 {
92 // Validate output
93 validate(GCAccessor(_target), _reference, tolerance_fp16, tolerance_num);
94 }
95 TEST_SUITE_END()
96
TEST_SUITE(FP32)97 TEST_SUITE(FP32)
98 FIXTURE_DATA_TEST_CASE(Run, GCDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(data, framework::dataset::make("DataType", DataType::F32)),
99 ActivationFunctionsDataset),
100 framework::dataset::make("DataLayout", DataLayout::NCHW)))
101 {
102 // Validate output
103 validate(GCAccessor(_target), _reference, tolerance_fp32);
104 }
105 TEST_SUITE_END()
106 TEST_SUITE_END()
107
108 TEST_SUITE_END()
109 TEST_SUITE_END()
110 } // namespace validation
111 } // namespace test
112 } // namespace arm_compute
113