1 /*
2 * Copyright (c) 2019-2021 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/NEInstanceNormalizationLayer.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/InstanceNormalizationLayerFixture.h"
36
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 /** Tolerance for float operations */
46 AbsoluteTolerance<float> tolerance_f32(0.0015f);
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 // This precision is chosen based on the precision float16_t can provide
49 // for the decimal numbers between 16 and 32 and decided based on multiple
50 // times of execution of tests. Although, with randomly generated numbers
51 // there is no gaurantee that this tolerance will be always large enough.
52 AbsoluteTolerance<half> tolerance_f16(static_cast<half>(0.015625f));
53 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
54 } // namespace
55
56 TEST_SUITE(NEON)
TEST_SUITE(InstanceNormalizationLayer)57 TEST_SUITE(InstanceNormalizationLayer)
58
59 // *INDENT-OFF*
60 // clang-format off
61 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
62 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
63 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
64 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
65 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
66 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
67 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
68 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
69 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
70 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
71 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
72 }),
73 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
74 TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32),
75 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
76 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16),
77 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
78 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
79 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
80 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
81 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
82 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
83 })),
84 framework::dataset::make("Expected", { false, false, false, false, true, true, true, true, true, true })),
85 input_info, output_info, expected)
86 {
87 bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
88 &output_info.clone()->set_is_resizable(false)
89 ));
90 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
91 }
92 // clang-format on
93 // *INDENT-ON*
94
95 template <typename T>
96 using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>;
97
98 TEST_SUITE(FP32)
99 FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
100 combine(combine(combine(datasets::Small4DShapes(),
101 framework::dataset::make("DataType", DataType::F32)),
102 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
103 framework::dataset::make("InPlace", { false, true })))
104 {
105 // Validate output
106 validate(Accessor(_target), _reference, tolerance_f32);
107 }
108
109 TEST_SUITE_END() // FP32
110
111 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)112 TEST_SUITE(FP16)
113 FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
114 combine(combine(combine(datasets::SmallShapes(),
115 framework::dataset::make("DataType", DataType::F16)),
116 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
117 framework::dataset::make("InPlace", { false, true })))
118 {
119 // Validate output
120 validate(Accessor(_target), _reference, tolerance_f16);
121 }
122 TEST_SUITE_END() // FP16
123 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
124
125 TEST_SUITE_END() // InstanceNormalizationLayer
126 TEST_SUITE_END() // Neon
127 } // namespace validation
128 } // namespace test
129 } // namespace arm_compute
130