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/NEON/functions/NEL2NormalizeLayer.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/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/L2NormalizeLayerFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 /** Tolerance for float operations */
46 RelativeTolerance<float> tolerance_f32(0.00001f);
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 RelativeTolerance<float> tolerance_f16(0.2f);
49 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
50 } // namespace
51
52 TEST_SUITE(NEON)
TEST_SUITE(L2NormalizeLayer)53 TEST_SUITE(L2NormalizeLayer)
54
55 // *INDENT-OFF*
56 // clang-format off
57 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
58 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output
59 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching shape input/output
60 TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1
61 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32
62 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
63 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
64 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
65 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
66 }),
67 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16),
68 TensorInfo(TensorShape(256U, 64U), 1, DataType::F32),
69 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
70 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16),
71 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
72 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
73 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
74 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
75 })),
76 framework::dataset::make("Axis", {
77 0,
78 0,
79 0,
80 0,
81 static_cast<int>(TensorShape::num_max_dimensions),
82 3,
83 -2,
84 0 })),
85 framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })),
86 input_info, output_info, axis, expected)
87 {
88 bool is_valid = bool(NEL2NormalizeLayer::validate(&input_info.clone()->set_is_resizable(false),
89 &output_info.clone()->set_is_resizable(false),
90 axis));
91 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
92 }
93 // clang-format on
94 // *INDENT-ON*
95
96 template <typename T>
97 using NEL2NormalizeLayerFixture = L2NormalizeLayerValidationFixture<Tensor, Accessor, NEL2NormalizeLayer, T>;
98
99 TEST_SUITE(FP32)
100 FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
101 combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
102 framework::dataset::make("Axis", { -1, 0, 1, 2 })),
103 framework::dataset::make("Epsilon", { 1e-6 })))
104 {
105 // Validate output
106 validate(Accessor(_target), _reference, tolerance_f32);
107 }
108
109 FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::NIGHTLY,
110 combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
111 framework::dataset::make("Axis", { -1, 0, 2 })),
112 framework::dataset::make("Epsilon", { 1e-6 })))
113 {
114 // Validate output
115 validate(Accessor(_target), _reference, tolerance_f32);
116 }
117 TEST_SUITE_END() // FP32
118
119 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)120 TEST_SUITE(FP16)
121 FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
122 combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
123 framework::dataset::make("Axis", { -1, 0, 1, 2 })),
124 framework::dataset::make("Epsilon", { 1e-6 })))
125 {
126 // Validate output
127 validate(Accessor(_target), _reference, tolerance_f16);
128 }
129
130 FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture<half>, framework::DatasetMode::NIGHTLY,
131 combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
132 framework::dataset::make("Axis", { -1, 0, 2 })),
133 framework::dataset::make("Epsilon", { 1e-6 })))
134 {
135 // Validate output
136 validate(Accessor(_target), _reference, tolerance_f16);
137 }
138 TEST_SUITE_END() // FP16
139 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
140
141 TEST_SUITE_END() // L2NormalizeLayer
142 TEST_SUITE_END() // Neon
143 } // namespace validation
144 } // namespace test
145 } // namespace arm_compute
146