Compute Library
 22.05
ElementwisePower.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/ElementwiseOperationsFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<float> tolerance_fp32(0.001f);
46 /** Input data sets **/
47 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
48 RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f));
49 const auto ElementwisePowerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
51 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
52 const auto ElementwisePowerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
54 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
55 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
56 } // namespace
57 
58 TEST_SUITE(NEON)
59 TEST_SUITE(ElementwisePower)
60 
61 template <typename T>
62 using NEElementwisePowerFixture = ElementwisePowerValidationFixture<Tensor, Accessor, NEElementwisePower, T>;
63 
64 // *INDENT-OFF*
65 // clang-format off
67  framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
68  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
69  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
70  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
71  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
72  }),
73  framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
74  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
75  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
76  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
77  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
78  })),
79  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
80  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
81  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
82  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
83  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
84  })),
85  framework::dataset::make("Expected", { true, true, true, false, false})),
87 {
88  ARM_COMPUTE_EXPECT(bool(NEElementwisePower::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
89 }
90 // clang-format on
91 // *INDENT-ON*
92 
93 TEST_SUITE(Float)
94 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
96 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwisePowerFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP16Dataset),
97  InPlaceDataSet))
98 {
99  // Validate output
100  validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
101 }
102 TEST_SUITE_END() // F16
103 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
104 
106 
107 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwisePowerFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwisePowerFP32Dataset),
108  InPlaceDataSet))
109 {
110  // Validate output
111  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
112 }
113 
114 FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwisePowerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ElementwisePowerFP32Dataset),
115  InPlaceDataSet))
116 {
117  // Validate output
118  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
119 }
120 
121 template <typename T>
122 using NEElementwisePowerBroadcastFixture = ElementwisePowerBroadcastValidationFixture<Tensor, Accessor, NEElementwisePower, T>;
123 
125  ElementwisePowerFP32Dataset),
126  OutOfPlaceDataSet))
127 {
128  // Validate output
129  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
130 }
131 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwisePowerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
132  ElementwisePowerFP32Dataset),
133  InPlaceDataSet))
134 {
135  // Validate output
136  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
137 }
139  ElementwisePowerFP32Dataset),
140  OutOfPlaceDataSet))
141 {
142  // Validate output
143  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
144 }
145 TEST_SUITE_END() // F32
146 TEST_SUITE_END() // Float
147 
148 TEST_SUITE_END() // ElementwisePower
149 TEST_SUITE_END() // Neon
150 } // namespace validation
151 } // namespace test
152 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info=ActivationLayerInfo())
Static function to check if given info will lead to a valid configuration of cpu::kernels::CpuArithme...
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
RelativeTolerance< float > tolerance_fp32(0.001f)
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
1 channel, 1 S32 per channel
ElementwisePowerBroadcastValidationFixture< Tensor, Accessor, NEElementwisePower, T > NEElementwisePowerBroadcastFixture
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]
ElementwisePowerValidationFixture< Tensor, Accessor, NEElementwisePower, T > NEElementwisePowerFixture
validate(CLAccessor(output_state), expected_output)
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
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65