xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/CL/BatchToSpaceLayer.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/CLBatchToSpaceLayer.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/BatchToSpaceDataset.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/Helpers.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/BatchToSpaceLayerFixture.h"
38 
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 TEST_SUITE(CL)
46 TEST_SUITE(BatchToSpaceLayer)
47 
48 template <typename T>
49 using CLBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<CLTensor, CLAccessor, CLBatchToSpaceLayer, T>;
50 
51 // *INDENT-OFF*
52 // clang-format off
53 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
54                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
55                                                        TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32),    // blockx != blocky && blockx > blocky
56                                                        TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32),    // blockx != blocky && blocky > blockx
57                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),     // Mismatching data types
58                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),     // Wrong data type block shape
59                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape
60                                                      }),
61                framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
62                                                        TensorInfo(TensorShape(2U, 4U), 1, DataType::S32),
63                                                       TensorInfo(TensorShape(4U, 2U), 1, DataType::S32),
64                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
65                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::F16),
66                                                        TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
67                                                      })),
68                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
69                                                        TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
70                                                        TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32),
71 
72                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16),
73                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
74                                                        TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
75                                                      })),
76                framework::dataset::make("Expected", { true, true,true, false, false, false})),
77                input_info, block_shape_info, output_info, expected)
78 {
79     bool has_error = bool(CLBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false)));
80     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
81 }
82 DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(
83                framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
84                                                        TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32),    // blockx != blocky && blockx > blocky
85                                                        TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32),    // blockx != blocky && blocky > blockx
86                                                        TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),    // Mismatching data types
87                                                        TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),    // Negative block shapes
88                                                        TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), // Wrong tensor shape
89                                                      }),
90                framework::dataset::make("BlockShapeX", { 2, 4, 2, 2, 2, 2 })),
91                framework::dataset::make("BlockShapeY", { 2, 2, 4, 2, -2, 2 })),
92                framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
93                                                        TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
94                                                        TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32),
95                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16),
96                                                        TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
97                                                        TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32),
98                                                      })),
99                framework::dataset::make("Expected", { true, true,true, false, false, false})),
100                input_info, block_shape_x, block_shape_y, output_info, expected)
101 {
102     bool has_error = bool(CLBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, &output_info.clone()->set_is_resizable(false)));
103     ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
104 }
105 // clang-format on
106 // *INDENT-ON*
107 
108 TEST_SUITE(Float)
TEST_SUITE(FP32)109 TEST_SUITE(FP32)
110 FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
111                                                                                                                        DataType::F32)),
112                                                                                                                framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
113 {
114     // Validate output
115     validate(CLAccessor(_target), _reference);
116 }
117 FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
118                                                                                                                      DataType::F32)),
119                                                                                                              framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
120 {
121     // Validate output
122     validate(CLAccessor(_target), _reference);
123 }
124 TEST_SUITE_END()
125 
TEST_SUITE(FP16)126 TEST_SUITE(FP16)
127 FIXTURE_DATA_TEST_CASE(RunSmall, CLBatchToSpaceLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
128                                                                                                                       DataType::F16)),
129                                                                                                               framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
130 {
131     // Validate output
132     validate(CLAccessor(_target), _reference);
133 }
134 FIXTURE_DATA_TEST_CASE(RunLarge, CLBatchToSpaceLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
135                                                                                                                     DataType::F16)),
136                                                                                                             framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
137 {
138     // Validate output
139     validate(CLAccessor(_target), _reference);
140 }
141 TEST_SUITE_END()
142 TEST_SUITE_END()
143 
144 TEST_SUITE_END() // BatchToSpace
145 TEST_SUITE_END() // CL
146 } // namespace validation
147 } // namespace test
148 } // namespace arm_compute
149