Compute Library
 22.11
ElementwiseMin.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Macros.h"
34 #include "tests/validation/fixtures/ElementwiseOperationsFixture.h"
35 
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 namespace
43 {
44 constexpr RelativeTolerance<float> tolerance_fp32(0.000001f);
45 constexpr AbsoluteTolerance<int8_t> tolerance_qasymm8_signed(1);
46 /** Input data sets **/
47 const auto ElementwiseMinQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
48  framework::dataset::make("DataType",
50 
51 const auto ElementwiseMaxQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
52  framework::dataset::make("DataType",
54 
55 const auto ElementwiseMinS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("DataType",
56  DataType::S32));
57 const auto ElementwiseMinS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
59 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
60 const auto ElementwiseMinFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
62 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
63 const auto ElementwiseMinFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
65 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false, true });
66 const auto OutOfPlaceDataSet = framework::dataset::make("InPlace", { false });
67 } // namespace
68 
69 TEST_SUITE(NEON)
70 TEST_SUITE(ElementwiseMin)
71 
72 template <typename T>
73 using NEElementwiseMinFixture = ElementwiseMinValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
74 
75 // *INDENT-OFF*
76 // clang-format off
78  framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
79  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
80  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
81  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination
82  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
84  TensorInfo(TensorShape(4U, 4U, 2U), 1, DataType::QASYMM8_SIGNED), // Mismatching types, cannot mix QASYMM8_SIGNED with QASYMM8
85  }),
86  framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
87  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
88  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
89  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
90  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
93  })),
94  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
95  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
96  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32),
97  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
98  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
101  })),
102  framework::dataset::make("Expected", { true, true, true, false,
103  false,true,false})),
105 {
107  &input1_info.clone()->set_is_resizable(false),
108  &input2_info.clone()->set_is_resizable(false),
109  &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
110 }
111 // clang-format on
112 // *INDENT-ON*
113 
115 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ElementwiseMinS32Dataset),
116  InPlaceDataSet))
117 {
118  // Validate output
119  validate(Accessor(_target), _reference);
120 }
121 TEST_SUITE_END() // S32
122 
124 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinS16Dataset),
125  InPlaceDataSet))
126 {
127  // Validate output
128  validate(Accessor(_target), _reference);
129 }
130 TEST_SUITE_END() // S16
131 
132 template <typename T>
133 using NEElementwiseMinQuantizedFixture = ElementwiseMinValidationQuantizedFixture<Tensor, Accessor, NEElementwiseMin, T>;
134 
135 TEST_SUITE(Quantized)
137 template <typename T>
138 using NEElementwiseMinQuantizedBroadcastFixture = ElementwiseMinQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
139 
141  combine(combine(combine(combine(combine(datasets::SmallShapesBroadcast(),
142  ElementwiseMinQASYMM8Dataset),
143  framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
144  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
145  framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
146  OutOfPlaceDataSet))
147 {
148  // Validate output
149  validate(Accessor(_target), _reference);
150 }
152  combine(combine(combine(combine(combine(datasets::TinyShapesBroadcastInplace(),
153  ElementwiseMinQASYMM8Dataset),
154  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
155  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
156  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 20) })),
157  InPlaceDataSet))
158 {
159  // Validate output
160  validate(Accessor(_target), _reference);
161 }
162 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
163  ElementwiseMinQASYMM8Dataset),
164  framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
165  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
166  framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })),
167  OutOfPlaceDataSet))
168 {
169  // Validate output
170  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
171 }
173 
175 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
176  ElementwiseMaxQASYMM8SignedDataset),
177  framework::dataset::make("QuantizationInfo", { QuantizationInfo(10.f, 20) })),
178  framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f, 0) })),
179  framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f, -27) })),
180  OutOfPlaceDataSet))
181 {
182  // Validate output
183  validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
184 }
185 
187 
189 
190 TEST_SUITE(Float)
191 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
193 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP16Dataset),
194  InPlaceDataSet))
195 {
196  // Validate output
197  validate(Accessor(_target), _reference);
198 }
199 TEST_SUITE_END() // F16
200 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
201 
203 FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseMinFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ElementwiseMinFP32Dataset),
204  InPlaceDataSet))
205 {
206  // Validate output
207  validate(Accessor(_target), _reference);
208 }
209 
210 template <typename T>
211 using NEElementwiseMinBroadcastFixture = ElementwiseMinBroadcastValidationFixture<Tensor, Accessor, NEElementwiseMin, T>;
212 
214  ElementwiseMinFP32Dataset),
215  OutOfPlaceDataSet))
216 {
217  // Validate output
218  validate(Accessor(_target), _reference);
219 }
220 FIXTURE_DATA_TEST_CASE(RunTinyBroadcastInPlace, NEElementwiseMinBroadcastFixture<float>, framework::DatasetMode::ALL, combine(combine(datasets::TinyShapesBroadcastInplace(),
221  ElementwiseMinFP32Dataset),
222  InPlaceDataSet))
223 {
224  // Validate output
225  validate(Accessor(_target), _reference);
226 }
227 TEST_SUITE_END() // F32
228 TEST_SUITE_END() // Float
229 
230 TEST_SUITE_END() // ElementwiseMin
231 TEST_SUITE_END() // Neon
232 } // namespace validation
233 } // namespace test
234 } // namespace arm_compute
ElementwiseMinQuantizedBroadcastValidationFixture< Tensor, Accessor, NEElementwiseMin, T > NEElementwiseMinQuantizedBroadcastFixture
ElementwiseMinBroadcastValidationFixture< Tensor, Accessor, NEElementwiseMin, T > NEElementwiseMinBroadcastFixture
Shape of a tensor.
Definition: TensorShape.h:39
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...
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
constexpr AbsoluteTolerance< int8_t > tolerance_qasymm8_signed
Definition: Scale.cpp:550
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
Quantization information.
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]
quantized, asymmetric fixed-point 8-bit number unsigned
validate(CLAccessor(output_state), expected_output)
1 channel, 1 S16 per channel
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
ElementwiseMinValidationFixture< Tensor, Accessor, NEElementwiseMin, T > NEElementwiseMinFixture
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
quantized, asymmetric fixed-point 8-bit number signed
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