1 /*
2 * Copyright (c) 2019 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/NEON/functions/NEMeanStdDevNormalizationLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.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/MeanStdDevNormalizationLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Tolerance for float operations */
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 RelativeTolerance<half> tolerance_f16(half(0.2f));
49 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
50 RelativeTolerance<float> tolerance_f32(1e-8f);
51 } // namespace
52
53 TEST_SUITE(NEON)
TEST_SUITE(MeanStdDevNormalizationLayer)54 TEST_SUITE(MeanStdDevNormalizationLayer)
55
56 // *INDENT-OFF*
57 // clang-format off
58 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
59 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data type input/output
60 TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes
61 TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
62 }),
63 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U), 1, DataType::F16),
64 TensorInfo(TensorShape(27U, 11U), 1, DataType::F32),
65 TensorInfo(TensorShape(32U, 13U), 1, DataType::F32),
66 })),
67 framework::dataset::make("Expected", { false, false, true })),
68 input_info, output_info, expected)
69 {
70 ARM_COMPUTE_EXPECT(bool(NEMeanStdDevNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
71 }
72 // clang-format on
73 // *INDENT-ON*
74
75 template <typename T>
76 using NEMeanStdDevNormalizationLayerFixture = MeanStdDevNormalizationLayerValidationFixture<Tensor, Accessor, NEMeanStdDevNormalizationLayer, T>;
77
78 TEST_SUITE(Float)
79 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)80 TEST_SUITE(FP16)
81 FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
82 framework::dataset::make("DataType", DataType::F16)),
83 framework::dataset::make("InPlace", { false, true })),
84 framework::dataset::make("Epsilon", { 1e-8 })))
85 {
86 // Validate output
87 validate(Accessor(_target), _reference, tolerance_f16);
88 }
89 FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
90 framework::dataset::make("DataType", DataType::F16)),
91 framework::dataset::make("InPlace", { false, true })),
92 framework::dataset::make("Epsilon", { 1e-8 })))
93 {
94 // Validate output
95 validate(Accessor(_target), _reference, tolerance_f16);
96 }
97 TEST_SUITE_END() // FP16
98 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
99
TEST_SUITE(FP32)100 TEST_SUITE(FP32)
101 FIXTURE_DATA_TEST_CASE(RunSmall, NEMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
102 framework::dataset::make("DataType", DataType::F32)),
103 framework::dataset::make("InPlace", { false, true })),
104 framework::dataset::make("Epsilon", { 1e-8 })))
105 {
106 // Validate output
107 validate(Accessor(_target), _reference, tolerance_f32);
108 }
109 FIXTURE_DATA_TEST_CASE(RunLarge, NEMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::Large2DShapes(),
110 framework::dataset::make("DataType", DataType::F32)),
111 framework::dataset::make("InPlace", { false, true })),
112 framework::dataset::make("Epsilon", { 1e-8 })))
113 {
114 // Validate output
115 validate(Accessor(_target), _reference, tolerance_f32);
116 }
117 TEST_SUITE_END() // FP32
118 TEST_SUITE_END() // Float
119
120 TEST_SUITE_END() // MeanStdNormalizationLayer
121 TEST_SUITE_END() // NEON
122 } // namespace validation
123 } // namespace test
124 } // namespace arm_compute
125