Compute Library
 22.08
MeanStdDevNormalizationLayer.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/CL/CLAccessor.h"
30 #include "tests/datasets/NormalizationTypesDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/MeanStdDevNormalizationLayerFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 /** Tolerance for float operations */
47 RelativeTolerance<half> tolerance_f16(half(0.2f));
48 RelativeTolerance<float> tolerance_f32(1e-8f);
49 } // namespace
50 
51 TEST_SUITE(CL)
52 TEST_SUITE(MeanStdDevNormalizationLayer)
53 
54 // *INDENT-OFF*
55 // clang-format off
56 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
57  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching data type input/output
58  TensorInfo(TensorShape(27U, 13U), 1, DataType::F32), // Mismatching shapes
60  }),
64  })),
65  framework::dataset::make("Expected", { false, false, true })),
67 {
68  ARM_COMPUTE_EXPECT(bool(CLMeanStdDevNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
69 }
70 // clang-format on
71 // *INDENT-ON*
72 
73 template <typename T>
74 using CLMeanStdDevNormalizationLayerFixture = MeanStdDevNormalizationLayerValidationFixture<CLTensor, CLAccessor, CLMeanStdDevNormalizationLayer, T>;
75 
76 TEST_SUITE(Float)
77 TEST_SUITE(FP16)
78 FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
79  framework::dataset::make("DataType", DataType::F16)),
80  framework::dataset::make("InPlace", { false, true })),
81  framework::dataset::make("Epsilon", { 1e-3 })))
82 {
83  // Validate output
84  validate(CLAccessor(_target), _reference, tolerance_f16);
85 }
88  framework::dataset::make("InPlace", { false, true })),
89  framework::dataset::make("Epsilon", { 1e-8 })))
90 {
91  // Validate output
92  validate(CLAccessor(_target), _reference, tolerance_f16);
93 }
94 TEST_SUITE_END() // FP16
95 
96 TEST_SUITE(FP32)
97 FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::Small2DShapes(),
98  framework::dataset::make("DataType", DataType::F32)),
99  framework::dataset::make("InPlace", { false, true })),
100  framework::dataset::make("Epsilon", { 1e-8 })))
101 {
102  // Validate output
103  validate(CLAccessor(_target), _reference, tolerance_f32);
104 }
107  framework::dataset::make("InPlace", { false, true })),
108  framework::dataset::make("Epsilon", { 1e-8 })))
109 {
110  // Validate output
111  validate(CLAccessor(_target), _reference, tolerance_f32);
112 }
113 TEST_SUITE_END() // FP32
114 TEST_SUITE_END() // Float
115 
116 TEST_SUITE_END() // MeanStdNormalizationLayer
117 TEST_SUITE_END() // CL
118 } // namespace validation
119 } // namespace test
120 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
RelativeTolerance< float > tolerance_f32(0.001f)
F32 Tolerance value for comparing reference&#39;s output against implementation&#39;s output for floating poi...
static Status validate(const ITensorInfo *input, const ITensorInfo *output=nullptr, float epsilon=1e-8f)
Static function to check if given info will lead to a valid configuration of CLMeanStdDevNormalizatio...
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.
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
MeanStdDevNormalizationLayerValidationFixture< CLTensor, CLAccessor, CLMeanStdDevNormalizationLayer, T > CLMeanStdDevNormalizationLayerFixture
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)
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
Accessor implementation for CLTensor objects.
Definition: CLAccessor.h:36
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
RelativeTolerance< half_float::half > tolerance_f16(half(0.2))
F16 Tolerance value for comparing reference&#39;s output against implementation&#39;s output for floating poi...
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
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65