1 /*
2 * Copyright (c) 2019-2020 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/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/functions/CLInstanceNormalizationLayer.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/CL/CLAccessor.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 AbsoluteTolerance<float> tolerance_f16(0.5f);
48 } // namespace
49
50 TEST_SUITE(CL)
TEST_SUITE(InstanceNormalizationLayer)51 TEST_SUITE(InstanceNormalizationLayer)
52
53 // *INDENT-OFF*
54 // clang-format off
55 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
56 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
57 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
58 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
59 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
60 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
61 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
62 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
63 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
64 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
65 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
66 }),
67 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
68 TensorInfo(TensorShape(256U, 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::S16),
71 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
72 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
73 TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
74 TensorInfo(TensorShape(128U, 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::F32)
77 })),
78 framework::dataset::make("Expected", { false, false, false, false, true, true, true, true, true, true })),
79 input_info, output_info, expected)
80 {
81 bool is_valid = bool(CLInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
82 &output_info.clone()->set_is_resizable(false)
83 ));
84 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
85 }
86 // clang-format on
87 // *INDENT-ON*
88
89 template <typename T>
90 using CLInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<CLTensor, CLAccessor, CLInstanceNormalizationLayer, T>;
91
92 TEST_SUITE(FP32)
93 FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
94 combine(combine(combine(datasets::Small4DShapes(),
95 framework::dataset::make("DataType", DataType::F32)),
96 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
97 framework::dataset::make("InPlace", { false, true })))
98 {
99 // Validate output
100 validate(CLAccessor(_target), _reference, tolerance_f32);
101 }
102
103 TEST_SUITE_END() // FP32
TEST_SUITE(FP16)104 TEST_SUITE(FP16)
105 FIXTURE_DATA_TEST_CASE(RunSmall, CLInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
106 combine(combine(combine(datasets::SmallShapes(),
107 framework::dataset::make("DataType", DataType::F16)),
108 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
109 framework::dataset::make("InPlace", { false, true })))
110 {
111 // Validate output
112 validate(CLAccessor(_target), _reference, tolerance_f16);
113 }
114
115 TEST_SUITE_END() // FP16
116 TEST_SUITE_END() // InstanceNormalizationLayer
117 TEST_SUITE_END() // CL
118 } // namespace validation
119 } // namespace test
120 } // namespace arm_compute
121