Compute Library
 22.11
Reverse.cpp
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24 
25 #include "arm_compute/core/Types.h"
29 #include "tests/NEON/Accessor.h"
31 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/ReverseFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 auto run_small_dataset = combine(datasets::SmallShapes(), datasets::Tiny1DShapes());
47 auto run_large_dataset = combine(datasets::LargeShapes(), datasets::Tiny1DShapes());
48 
49 } // namespace
50 TEST_SUITE(NEON)
51 TEST_SUITE(Reverse)
52 
53 // *INDENT-OFF*
54 // clang-format off
55 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
56  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Invalid axis datatype
57  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid axis shape
58  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid axis length (> 4)
59  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Mismatching shapes
60  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
62  }),
63  framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8),
64  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
65  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
66  TensorInfo(TensorShape(2U, 13U, 2U), 1, DataType::U8),
67  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
69  })),
76  })),
77  framework::dataset::make("Expected", { false, false, false, false, true, true})),
78  src_info, dst_info, axis_info, expected)
79 {
80  Status s = NEReverse::validate(&src_info.clone()->set_is_resizable(false),
81  &dst_info.clone()->set_is_resizable(false),
82  &axis_info.clone()->set_is_resizable(false));
84 }
85 // clang-format on
86 // *INDENT-ON*
87 
88 template <typename T>
89 using NEReverseFixture = ReverseValidationFixture<Tensor, Accessor, NEReverse, T>;
90 
91 TEST_SUITE(Float)
92 
93 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
94 TEST_SUITE(F16)
95 FIXTURE_DATA_TEST_CASE(RunSmall,
98  combine(run_small_dataset, framework::dataset::make("DataType", DataType::F16)))
99 {
100  // Validate output
101  validate(Accessor(_target), _reference);
102 }
103 
104 FIXTURE_DATA_TEST_CASE(RunLarge,
107  combine(run_large_dataset, framework::dataset::make("DataType", DataType::F16)))
108 {
109  // Validate output
110  validate(Accessor(_target), _reference);
111 }
112 TEST_SUITE_END() // F16
113 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
114 
115 TEST_SUITE(FP32)
117  NEReverseFixture<float>,
118  framework::DatasetMode::PRECOMMIT,
119  combine(run_small_dataset, framework::dataset::make("DataType", DataType::F32)))
120 {
121  // Validate output
122  validate(Accessor(_target), _reference);
123 }
124 
128  combine(run_large_dataset, framework::dataset::make("DataType", DataType::F32)))
129 {
130  // Validate output
131  validate(Accessor(_target), _reference);
132 }
133 TEST_SUITE_END() // F32
134 TEST_SUITE_END() // Float
135 
136 TEST_SUITE(Quantized)
138 FIXTURE_DATA_TEST_CASE(RunSmall,
141  combine(run_small_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
142 {
143  // Validate output
144  validate(Accessor(_target), _reference);
145 }
146 
150  combine(run_large_dataset, framework::dataset::make("DataType", DataType::QASYMM8)))
151 {
152  // Validate output
153  validate(Accessor(_target), _reference);
154 }
155 TEST_SUITE_END() // QASYMM8
156 TEST_SUITE_END() // Quantized
157 
158 TEST_SUITE_END() // Reverse
159 TEST_SUITE_END() // Neon
160 } // namespace validation
161 } // namespace test
162 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *axis)
Static function to check if given info will lead to a valid configuration of NEReverseKernel.
Definition: NEReverse.cpp:41
std::unique_ptr< ITensorInfo > clone() const override
Provide a clone of the current object of class T.
Definition: TensorInfo.cpp:302
1 channel, 1 U8 per channel
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.
Status class.
Definition: Error.h:52
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 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
1 channel, 1 U32 per channel
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
quantized, asymmetric fixed-point 8-bit number unsigned
validate(CLAccessor(output_state), expected_output)
TensorInfo src_info(src_shape, 1, data_type)
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
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
signed 8-bit number
ReverseValidationFixture< Tensor, Accessor, NEReverse, T > NEReverseFixture
Definition: Reverse.cpp:89
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65