Compute Library
 22.05
ElementwiseRsqrtLayer.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/ElementwiseUnaryFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 RelativeTolerance<float> tolerance_fp32(0.000001f);
46 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
47 RelativeTolerance<float> tolerance_fp16(0.01f);
48 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
49 } // namespace
50 TEST_SUITE(NEON)
51 TEST_SUITE(RsqrtLayer)
52 
53 // Test test cases will execute the function with dynamic-stated shapes
54 // Since other elementwise unary operations share the same kernel, this tests are added only here.
55 // Also, only FP32 is tested since data type doesn't/shouldn't matter with dynamic shapes.
56 TEST_SUITE(DynamicShape)
57 TEST_SUITE(FP32)
58 
59 template <typename T>
60 using CpuRsqrtDynamicShapeFixture = RsqrtDynamicShapeValidationFixture<Tensor, Accessor, NERsqrtLayer, T>;
61 
63  DataType::F32)))
64 {
65  // Validate output
66  validate(Accessor(_target), _reference, tolerance_fp32);
67 }
68 
69 TEST_SUITE_END() // FP32
70 TEST_SUITE_END() // DynamicShape
71 
72 template <typename T>
73 using NERsqrtLayerFixture = RsqrtValidationFixture<Tensor, Accessor, NERsqrtLayer, T>;
74 
75 TEST_SUITE(Float)
76 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
77 TEST_SUITE(FP16)
78 FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
79  DataType::F16)))
80 {
81  // Validate output
82  validate(Accessor(_target), _reference, tolerance_fp16);
83 }
84 FIXTURE_DATA_TEST_CASE(RunLarge, NERsqrtLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
85  DataType::F16)))
86 {
87  // Validate output
88  validate(Accessor(_target), _reference, tolerance_fp16);
89 }
90 
91 TEST_SUITE_END() // FP16
92 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
93 
94 TEST_SUITE(FP32)
95 FIXTURE_DATA_TEST_CASE(RunSmall, NERsqrtLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
96  DataType::F32)))
97 {
98  // Validate output
99  validate(Accessor(_target), _reference, tolerance_fp32);
100 }
101 
102 TEST_SUITE_END() // FP32
103 TEST_SUITE_END() // Float
104 
105 TEST_SUITE_END() // RsqrtLayer
106 TEST_SUITE_END() // Neon
107 } // namespace validation
108 } // namespace test
109 } // namespace arm_compute
1 channel, 1 F32 per channel
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
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)
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
RsqrtDynamicShapeValidationFixture< Tensor, Accessor, NERsqrtLayer, T > CpuRsqrtDynamicShapeFixture
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