Compute Library
 22.05
BatchToSpaceLayer.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/BatchToSpaceDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/BatchToSpaceLayerFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(BatchToSpaceLayer)
46 
47 template <typename T>
48 using NEBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<Tensor, Accessor, NEBatchToSpaceLayer, T>;
49 
50 // *INDENT-OFF*
51 // clang-format off
53  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
54  TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky
55  TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx
56  TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types
57  TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape
58  TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape
59  }),
60  framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
66  })),
67  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
68  TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
69  TensorInfo(TensorShape(32U, 32U, 2U, 1U), 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, true, true, false, false, false})),
75  input_info, block_shape_info, output_info, expected)
76 {
77  bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false)));
79 }
81  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
82  TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky
83  TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx
84  TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Mismatching data types
85  TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Negative block shapes
86  TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), // Wrong tensor shape
87  }),
88  framework::dataset::make("BlockShapeX", { 2, 4, 2, 2, 2, 2 })),
89  framework::dataset::make("BlockShapeY", { 2, 2, 4, 2, -2, 2 })),
90  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
91  TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
92  TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32),
93  TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16),
94  TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
95  TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32),
96  })),
97  framework::dataset::make("Expected", { true, true, true, false, false, false})),
98  input_info, block_shape_x, block_shape_y, output_info, expected)
99 {
100  bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, &output_info.clone()->set_is_resizable(false)));
102 }
103 // clang-format on
104 // *INDENT-ON*
105 
106 TEST_SUITE(Float)
107 TEST_SUITE(FP32)
108 FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
109  DataType::F32)),
110  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
111 {
112  // Validate output
113  validate(Accessor(_target), _reference);
114 }
116  DataType::F32)),
118 {
119  // Validate output
120  validate(Accessor(_target), _reference);
121 }
123 
124 TEST_SUITE(FP16)
125 FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
126  DataType::F16)),
127  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
128 {
129  // Validate output
130  validate(Accessor(_target), _reference);
131 }
133  DataType::F16)),
135 {
136  // Validate output
137  validate(Accessor(_target), _reference);
138 }
141 
142 TEST_SUITE_END() // BatchToSpace
143 TEST_SUITE_END() // Neon
144 } // namespace validation
145 } // namespace test
146 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
half_float::half half
16-bit floating point type
Definition: Types.h:48
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
BatchToSpaceLayerValidationFixture< Tensor, Accessor, NEBatchToSpaceLayer, T > NEBatchToSpaceLayerFixture
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
1 channel, 1 S32 per channel
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
validate(CLAccessor(output_state), expected_output)
Num samples, channels, height, width.
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Num samples, height, width, channels.
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
static Status validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of CLBatchToSpaceLayer.
zip(zip(framework::dataset::make("Weights", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))
TEST_SUITE(QASYMM8_to_F32) FIXTURE_DATA_TEST_CASE(RunSmall
DataType
Available data types.
Definition: Types.h:79
DataLayout
[DataLayout enum definition]
Definition: Types.h:113
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65