xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/CL/SpaceToBatchLayer.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)
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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/CLSpaceToBatchLayer.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/datasets/SpaceToBatchDataset.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Helpers.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/SpaceToBatchFixture.h"
38 
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 TEST_SUITE(CL)
46 TEST_SUITE(SpaceToBatchLayer)
47 
48 template <typename T>
49 using CLSpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
50 
51 // *INDENT-OFF*
52 // clang-format off
53 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
54                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
55                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),    // Mismatching data types
56                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),    // Wrong data type block shape
57                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32),    // Wrong tensor shape
58                                                      }),
59                framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U), 1, DataType::S32),
60                                                        TensorInfo(TensorShape(2U), 1, DataType::S32),
61                                                        TensorInfo(TensorShape(2U), 1, DataType::F16),
62                                                        TensorInfo(TensorShape(2U), 1, DataType::S32),
63                                                      })),
64                framework::dataset::make("PaddingsShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
65                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
66                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::F16),
67                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
68                                                      })),
69                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
70                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16),
71                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
72                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
73                                                      })),
74                framework::dataset::make("Expected", { true, false, false, false})),
75                input_info, block_shape_info, paddings_info, output_info, expected)
76 {
77     bool has_error = bool(CLSpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &paddings_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false)));
78     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
79 }
80 DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
81                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
82                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),    // Mismatching data types
83                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),    // Negative block shapes
84                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong tensor shape
85                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong paddings
86                                                      }),
87                framework::dataset::make("BlockShapeX", { 2, 2, 2, 2, 2 })),
88                framework::dataset::make("BlockShapeY", { 2, 2, -2, 2, 2 })),
89                framework::dataset::make("PadLeft", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
90                framework::dataset::make("PadRight", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
91                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
92                                                        TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16),
93                                                        TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
94                                                        TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
95                                                        TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
96                                                      })),
97                framework::dataset::make("Expected", { true, false, false, false, false})),
98                input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)
99 {
100     bool has_error = bool(CLSpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, padding_left, padding_right, &output_info.clone()->set_is_resizable(false)));
101     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
102 }
103 // clang-format on
104 // *INDENT-ON*
105 
106 TEST_SUITE(Float)
TEST_SUITE(FP32)107 TEST_SUITE(FP32)
108 FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
109                                                                                                                     framework::dataset::make("DataType", DataType::F32)),
110                                                                                                             framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
111 {
112     // Validate output
113     validate(CLAccessor(_target), _reference);
114 }
115 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
116                                                                                                                   framework::dataset::make("DataType", DataType::F32)),
117                                                                                                           framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
118 {
119     // Validate output
120     validate(CLAccessor(_target), _reference);
121 }
122 TEST_SUITE_END() // FP32
123 
TEST_SUITE(FP16)124 TEST_SUITE(FP16)
125 FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
126                                                                                                                    framework::dataset::make("DataType", DataType::F16)),
127                                                                                                            framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
128 {
129     // Validate output
130     validate(CLAccessor(_target), _reference);
131 }
132 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
133                                                                                                                  framework::dataset::make("DataType", DataType::F16)),
134                                                                                                          framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
135 {
136     // Validate output
137     validate(CLAccessor(_target), _reference);
138 }
139 TEST_SUITE_END() // FP16
140 TEST_SUITE_END() // Float
141 
142 template <typename T>
143 using CLSpaceToBatchLayerQuantizedFixture = SpaceToBatchLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
144 
145 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)146 TEST_SUITE(QASYMM8)
147 FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
148                                                                                                                        framework::dataset::make("DataType", DataType::QASYMM8)),
149                                                                                                                        framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
150                                                                                                                        framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
151 {
152     // Validate output
153     validate(CLAccessor(_target), _reference);
154 }
155 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
156                                                                                                                      framework::dataset::make("DataType", DataType::QASYMM8)),
157                                                                                                                      framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
158                                                                                                                      framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
159 {
160     // Validate output
161     validate(CLAccessor(_target), _reference);
162 }
163 TEST_SUITE_END() // QASYMM8
164 TEST_SUITE_END() // Quantized
165 TEST_SUITE_END() // SpaceToBatch
166 TEST_SUITE_END() // CL
167 } // namespace validation
168 } // namespace test
169 } // namespace arm_compute
170