1 /*
2 * Copyright (c) 2017-2020 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/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLL2NormalizeLayer.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/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 constexpr AbsoluteTolerance<float> tolerance_f32(0.00001f);
47 constexpr AbsoluteTolerance<float> tolerance_f16(0.2f);
48
49 auto data = concat(combine(framework::dataset::make("DataLayout", { DataLayout::NCHW }), framework::dataset::make("Axis", { -1, 0, 2 })), combine(framework::dataset::make("DataLayout", { DataLayout::NHWC }),
50 framework::dataset::make("Axis", { -2, 2 })));
51
52 } // namespace
53
54 TEST_SUITE(CL)
TEST_SUITE(L2NormalizeLayer)55 TEST_SUITE(L2NormalizeLayer)
56
57 // *INDENT-OFF*
58 // clang-format off
59 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
60 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output
61 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching shape input/output
62 TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1
63 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32
64 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
65 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
66 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
67 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
68 }),
69 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16),
70 TensorInfo(TensorShape(256U, 64U), 1, DataType::F32),
71 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
72 TensorInfo(TensorShape(128U, 64U), 1, DataType::S16),
73 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
74 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
75 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
76 TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
77 })),
78 framework::dataset::make("Axis", {
79 0,
80 0,
81 0,
82 0,
83 static_cast<int>(TensorShape::num_max_dimensions),
84 3,
85 -2,
86 0 })),
87 framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })),
88 input_info, output_info, axis, expected)
89 {
90 bool is_valid = bool(CLL2NormalizeLayer::validate(&input_info.clone()->set_is_resizable(false),
91 &output_info.clone()->set_is_resizable(false),
92 axis));
93 ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
94 }
95 // clang-format on
96 // *INDENT-ON*
97
98 template <typename T>
99 using CLL2NormalizeLayerFixture = L2NormalizeLayerValidationFixture<CLTensor, CLAccessor, CLL2NormalizeLayer, T>;
100
101 TEST_SUITE(Float)
TEST_SUITE(FP32)102 TEST_SUITE(FP32)
103 FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
104 combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), data), framework::dataset::make("Epsilon", { 1e-12 })))
105 {
106 // Validate output
107 validate(CLAccessor(_target), _reference, tolerance_f32);
108 }
109 FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture<float>, framework::DatasetMode::NIGHTLY,
110 combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), data), framework::dataset::make("Epsilon", { 1e-12 })))
111 {
112 // Validate output
113 validate(CLAccessor(_target), _reference, tolerance_f32);
114 }
115 TEST_SUITE_END() // FP32
TEST_SUITE(FP16)116 TEST_SUITE(FP16)
117 FIXTURE_DATA_TEST_CASE(RunSmall, CLL2NormalizeLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
118 combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)), data), framework::dataset::make("Epsilon", { 1e-6 })))
119 {
120 // Validate output
121 validate(CLAccessor(_target), _reference, tolerance_f16);
122 }
123 FIXTURE_DATA_TEST_CASE(RunLarge, CLL2NormalizeLayerFixture<half>, framework::DatasetMode::NIGHTLY,
124 combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)), data), framework::dataset::make("Epsilon", { 1e-6 })))
125 {
126 // Validate output
127 validate(CLAccessor(_target), _reference, tolerance_f16);
128 }
129 TEST_SUITE_END() // FP16
130 TEST_SUITE_END() // Float
131
132 TEST_SUITE_END() // L2NormalizeLayer
133 TEST_SUITE_END() // CL
134 } // namespace validation
135 } // namespace test
136 } // namespace arm_compute
137