1 /*
2 * Copyright (c) 2017-2021 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/CLNormalizationLayer.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/NormalizationTypesDataset.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/NormalizationLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Tolerance for float operations */
47 RelativeTolerance<half> tolerance_f16(half(0.2));
48 RelativeTolerance<float> tolerance_f32(0.05f);
49
50 /** Input data set. */
51 const auto NormalizationDatasetFP16 = combine(combine(combine(framework::dataset::make("NormType", { NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP }),
52 framework::dataset::make("NormalizationSize", 3, 9, 2)),
53 framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
54 framework::dataset::make("IsScaled", { true }));
55
56 const auto NormalizationDatasetFP32 = combine(combine(combine(framework::dataset::make("NormType", { NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP }),
57 framework::dataset::make("NormalizationSize", 3, 9, 2)),
58 framework::dataset::make("Beta", { 0.5f, 1.f, 2.f })),
59 framework::dataset::make("IsScaled", { true, false }));
60 } // namespace
61
62 TEST_SUITE(CL)
TEST_SUITE(NormalizationLayer)63 TEST_SUITE(NormalizationLayer)
64
65 // *INDENT-OFF*
66 // clang-format off
67 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
68 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching data type input/output
69 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
70 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Even normalization
71 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Windows shrinking for NCHW
72 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
73 }),
74 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
75 TensorInfo(TensorShape(27U, 11U, 2U), 1, DataType::F32),
76 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
77 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
78 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
79 })),
80 framework::dataset::make("NormInfo", { NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
81 NormalizationLayerInfo(NormType::IN_MAP_1D, 5),
82 NormalizationLayerInfo(NormType::IN_MAP_1D, 4),
83 NormalizationLayerInfo(NormType::IN_MAP_2D, 5),
84 NormalizationLayerInfo(NormType::CROSS_MAP, 5),
85 })),
86 framework::dataset::make("Expected", { false, false, false, false, true })),
87 input_info, output_info, norm_info, expected)
88 {
89 ARM_COMPUTE_EXPECT(bool(CLNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), norm_info)) == expected, framework::LogLevel::ERRORS);
90 }
91 // clang-format on
92 // *INDENT-ON*
93
94 template <typename T>
95 using CLNormalizationLayerFixture = NormalizationValidationFixture<CLTensor, CLAccessor, CLNormalizationLayer, T>;
96
97 TEST_SUITE(Float)
TEST_SUITE(FP16)98 TEST_SUITE(FP16)
99 FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP16),
100 framework::dataset::make("DataType", DataType::F16)),
101 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
102 {
103 // Validate output
104 validate(CLAccessor(_target), _reference, tolerance_f16);
105 }
106 FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP16),
107 framework::dataset::make("DataType", DataType::F16)),
108 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
109 {
110 // Validate output
111 validate(CLAccessor(_target), _reference, tolerance_f16);
112 }
113 TEST_SUITE_END() // FP16
114
TEST_SUITE(FP32)115 TEST_SUITE(FP32)
116 FIXTURE_DATA_TEST_CASE(RunSmall, CLNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), NormalizationDatasetFP32),
117 framework::dataset::make("DataType", DataType::F32)),
118 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
119 {
120 // Validate output
121 validate(CLAccessor(_target), _reference, tolerance_f32);
122 }
123 FIXTURE_DATA_TEST_CASE(RunLarge, CLNormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), NormalizationDatasetFP32),
124 framework::dataset::make("DataType", DataType::F32)),
125 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
126 {
127 // Validate output
128 validate(CLAccessor(_target), _reference, tolerance_f32);
129 }
130 TEST_SUITE_END() // FP32
131 TEST_SUITE_END() // Float
132
133 TEST_SUITE_END() // NormalizationLayer
134 TEST_SUITE_END() // CL
135 } // namespace validation
136 } // namespace test
137 } // namespace arm_compute
138