1 /*
2 * Copyright (c) 2018-2020 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/CLNormalizePlanarYUVLayer.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/RandomNormalizePlanarYUVLayerDataset.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/NormalizePlanarYUVLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 constexpr RelativeTolerance<float> tolerance_f16(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
47 constexpr RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
48 constexpr AbsoluteTolerance<float> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
49 } // namespace
50
51 TEST_SUITE(CL)
52 TEST_SUITE(NormalizePlanarYUVLayer)
53
54 template <typename T>
55 using CLNormalizePlanarYUVLayerFixture = NormalizePlanarYUVLayerValidationFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>;
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(27U, 13U, 2U), 1, DataType::F32), // Mismatching data types
61 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), // Window shrink
62 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type
63 TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16),
64 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), // Mismatching mean and sd shapes
65 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
66 }),
67 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
68 TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
69 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
70 TensorInfo(TensorShape(32U, 16U, 8U), 1, DataType::F16),
71 TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
72 TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32),
73 })),
74 framework::dataset::make("MSTDInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F16),
75 TensorInfo(TensorShape(2U), 1, DataType::F16),
76 TensorInfo(TensorShape(2U), 1, DataType::U8),
77 TensorInfo(TensorShape(8U), 1, DataType::F16),
78 TensorInfo(TensorShape(6U), 1, DataType::F16),
79 TensorInfo(TensorShape(2U), 1, DataType::F32),
80 })),
81 framework::dataset::make("Expected", { false, false, false, true, false, false })),
82 input_info, output_info, msd_info, expected)
83 {
84 const auto &mean_info = msd_info;
85 const auto &sd_info = msd_info;
86 bool has_error = bool(CLNormalizePlanarYUVLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), &mean_info.clone()->set_is_resizable(false), &sd_info.clone()->set_is_resizable(false)));
87 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
88 }
89 // clang-format on
90 // *INDENT-ON*
91
92 TEST_SUITE(Float)
TEST_SUITE(FP16)93 TEST_SUITE(FP16)
94 FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(),
95 framework::dataset::make("DataType", DataType::F16)),
96 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
97 {
98 // Validate output
99 validate(CLAccessor(_target), _reference, tolerance_f16, 0);
100 }
101 TEST_SUITE_END() // FP16
102
TEST_SUITE(FP32)103 TEST_SUITE(FP32)
104 FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(),
105 framework::dataset::make("DataType", DataType::F32)),
106 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
107 {
108 // Validate output
109 validate(CLAccessor(_target), _reference, tolerance_f32);
110 }
111 TEST_SUITE_END() // FP32
112 TEST_SUITE_END() // Float
113
114 template <typename T>
115 using CLNormalizePlanarYUVLayerQuantizedFixture = NormalizePlanarYUVLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLNormalizePlanarYUVLayer, T>;
116
117 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)118 TEST_SUITE(QASYMM8)
119 FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(),
120 framework::dataset::make("DataType", DataType::QASYMM8)),
121 framework::dataset::make("DataLayout", { DataLayout::NHWC })),
122 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) })))
123 {
124 // Validate output
125 validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0);
126 }
127 TEST_SUITE_END() // QASYMM8
TEST_SUITE(QASYMM8_SIGNED)128 TEST_SUITE(QASYMM8_SIGNED)
129 FIXTURE_DATA_TEST_CASE(Random, CLNormalizePlanarYUVLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::RandomNormalizePlanarYUVLayerDataset(),
130 framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
131 framework::dataset::make("DataLayout", { DataLayout::NCHW })),
132 framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.1f, 128.0f) })))
133 {
134 // Validate output
135 validate(CLAccessor(_target), _reference, tolerance_qasymm8, 0);
136 }
137 TEST_SUITE_END() // QASYMM8_SIGNED
138 TEST_SUITE_END() // Quantized
139
140 TEST_SUITE_END() // NormalizePlanarYUVLayer
141 TEST_SUITE_END() // CL
142 } // namespace validation
143 } // namespace test
144 } // namespace arm_compute
145