Compute Library
 20.02.1
ArithmeticAddition.cpp
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24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
28 #include "tests/CL/CLAccessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ConvertPolicyDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/ArithmeticOperationsFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 constexpr unsigned int num_elems_processed_per_iteration = 16;
47 /** Input data sets **/
48 const auto ArithmeticAdditionU8Dataset = combine(combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("DataType",
49  DataType::U8));
50 const auto ArithmeticAdditionQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
51  framework::dataset::make("DataType",
52  DataType::QASYMM8));
53 const auto ArithmeticAdditionQASYMM8SignedDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
54  framework::dataset::make("DataType",
55  DataType::QASYMM8_SIGNED));
56 const auto ArithmeticAdditionQSYMM16Dataset = combine(combine(framework::dataset::make("DataType", DataType::QSYMM16), framework::dataset::make("DataType", DataType::QSYMM16)),
57  framework::dataset::make("DataType",
58  DataType::QSYMM16));
59 const auto ArithmeticAdditionS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::U8, DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
60  framework::dataset::make("DataType", DataType::S16));
61 const auto ArithmeticAdditionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
62  framework::dataset::make("DataType", DataType::F16));
63 const auto ArithmeticAdditionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
64  framework::dataset::make("DataType", DataType::F32));
65 } // namespace
66 
67 TEST_SUITE(CL)
68 TEST_SUITE(ArithmeticAddition)
69 
70 // *INDENT-OFF*
71 // clang-format off
72 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
73  framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
74  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
75  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Window shrink
76  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Invalid data type combination
77  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
78  }),
79  framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
80  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
81  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
82  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
83  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
84  })),
85  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
86  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
87  TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8),
88  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
89  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
90  })),
91  framework::dataset::make("Expected", { true, true, false, false, false})),
92  input1_info, input2_info, output_info, expected)
93 {
94  ARM_COMPUTE_EXPECT(bool(CLArithmeticAddition::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), ConvertPolicy::WRAP)) == expected, framework::LogLevel::ERRORS);
95 }
96 // clang-format on
97 // *INDENT-ON*
98 
99 template <typename T>
100 using CLArithmeticAdditionFixture = ArithmeticAdditionValidationFixture<CLTensor, CLAccessor, CLArithmeticAddition, T>;
101 
102 TEST_SUITE(Integer)
103 TEST_SUITE(U8)
104 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
105  shape, policy)
106 {
107  // Create tensors
108  CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::U8);
109  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::U8);
110  CLTensor dst = create_tensor<CLTensor>(shape, DataType::U8);
111 
112  // Create and Configure function
113  CLArithmeticAddition add;
114  add.configure(&ref_src1, &ref_src2, &dst, policy);
115 
116  // Validate valid region
117  const ValidRegion valid_region = shape_to_valid_region(shape);
118  validate(dst.info()->valid_region(), valid_region);
119 
120  // Validate padding
121  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
122  validate(ref_src1.info()->padding(), padding);
123  validate(ref_src2.info()->padding(), padding);
124  validate(dst.info()->padding(), padding);
125 }
126 
127 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionU8Dataset),
128  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
129 {
130  // Validate output
131  validate(CLAccessor(_target), _reference);
132 }
133 TEST_SUITE_END() // U8
134 
135 TEST_SUITE(S16)
136 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
137  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
138  shape, data_type, policy)
139 {
140  // Create tensors
141  CLTensor ref_src1 = create_tensor<CLTensor>(shape, data_type);
142  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::S16);
143  CLTensor dst = create_tensor<CLTensor>(shape, DataType::S16);
144 
145  // Create and Configure function
146  CLArithmeticAddition add;
147  add.configure(&ref_src1, &ref_src2, &dst, policy);
148 
149  // Validate valid region
150  const ValidRegion valid_region = shape_to_valid_region(shape);
151  validate(dst.info()->valid_region(), valid_region);
152 
153  // Validate padding
154  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
155  validate(ref_src1.info()->padding(), padding);
156  validate(ref_src2.info()->padding(), padding);
157  validate(dst.info()->padding(), padding);
158 }
159 
160 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionS16Dataset),
161  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
162 {
163  // Validate output
164  validate(CLAccessor(_target), _reference);
165 }
166 
167 FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionS16Dataset),
168  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
169 {
170  // Validate output
171  validate(CLAccessor(_target), _reference);
172 }
173 TEST_SUITE_END() // S16
174 TEST_SUITE_END() // Integer
175 
176 template <typename T>
177 using CLArithmeticAdditionQuantizedFixture = ArithmeticAdditionValidationQuantizedFixture<CLTensor, CLAccessor, CLArithmeticAddition, T>;
178 
179 TEST_SUITE(Quantized)
180 TEST_SUITE(QASYMM8)
181 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
182  shape, policy)
183 {
184  // Create tensors
185  CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::QASYMM8);
186  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::QASYMM8);
187  CLTensor dst = create_tensor<CLTensor>(shape, DataType::QASYMM8);
188 
189  // Create and Configure function
190  CLArithmeticAddition add;
191  add.configure(&ref_src1, &ref_src2, &dst, policy);
192 
193  // Validate valid region
194  const ValidRegion valid_region = shape_to_valid_region(shape);
195  validate(dst.info()->valid_region(), valid_region);
196 
197  // Validate padding
198  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
199  validate(ref_src1.info()->padding(), padding);
200  validate(ref_src2.info()->padding(), padding);
201  validate(dst.info()->padding(), padding);
202 }
203 
204 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
205  ArithmeticAdditionQASYMM8Dataset),
206  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
207  framework::dataset::make("Src0QInfo", { QuantizationInfo(5.f / 255.f, 20) })),
208  framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 255.f, 10) })),
209  framework::dataset::make("OutQInfo", { QuantizationInfo(1.f / 255.f, 5) })))
210 {
211  // Validate output
212  validate(CLAccessor(_target), _reference);
213 }
214 TEST_SUITE_END() // QASYMM8
215 TEST_SUITE(QASYMM8_SIGNED)
216 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
217  shape, policy)
218 {
219  // Create tensors
220  CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::QASYMM8_SIGNED);
221  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::QASYMM8_SIGNED);
222  CLTensor dst = create_tensor<CLTensor>(shape, DataType::QASYMM8_SIGNED);
223 
224  // Create and Configure function
225  CLArithmeticAddition add;
226  add.configure(&ref_src1, &ref_src2, &dst, policy);
227 
228  // Validate valid region
229  const ValidRegion valid_region = shape_to_valid_region(shape);
230  validate(dst.info()->valid_region(), valid_region);
231 
232  // Validate padding
233  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
234  validate(ref_src1.info()->padding(), padding);
235  validate(ref_src2.info()->padding(), padding);
236  validate(dst.info()->padding(), padding);
237 }
238 
239 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
240  ArithmeticAdditionQASYMM8SignedDataset),
241  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
242  framework::dataset::make("Src0QInfo", { QuantizationInfo(5.f / 255.f, 10) })),
243  framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 255.f, 10) })),
244  framework::dataset::make("OutQInfo", { QuantizationInfo(1.f / 255.f, 5) })))
245 {
246  // Validate output
247  validate(CLAccessor(_target), _reference);
248 }
249 TEST_SUITE_END() // QASYMM8_SIGNED
250 TEST_SUITE(QSYMM16)
251 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
252  shape, policy)
253 {
254  // Create tensors
255  CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::QSYMM16);
256  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::QSYMM16);
257  CLTensor dst = create_tensor<CLTensor>(shape, DataType::QSYMM16);
258 
259  // Create and Configure function
260  CLArithmeticAddition add;
261  add.configure(&ref_src1, &ref_src2, &dst, policy);
262 
263  // Validate valid region
264  const ValidRegion valid_region = shape_to_valid_region(shape);
265  validate(dst.info()->valid_region(), valid_region);
266 
267  // Validate padding
268  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
269  validate(ref_src1.info()->padding(), padding);
270  validate(ref_src2.info()->padding(), padding);
271  validate(dst.info()->padding(), padding);
272 }
273 
274 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionQuantizedFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(combine(datasets::SmallShapes(),
275  ArithmeticAdditionQSYMM16Dataset),
276  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE })),
277  framework::dataset::make("Src0QInfo", { QuantizationInfo(1.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })),
278  framework::dataset::make("Src1QInfo", { QuantizationInfo(2.f / 32768.f, 0), QuantizationInfo(5.f / 32768.f, 0) })),
279  framework::dataset::make("OutQInfo", { QuantizationInfo(5.f / 32768.f, 0) })))
280 {
281  // Validate output
282  validate(CLAccessor(_target), _reference);
283 }
284 TEST_SUITE_END() // QSYMM16
285 TEST_SUITE_END() // Quantized
286 
287 TEST_SUITE(Float)
288 TEST_SUITE(FP16)
289 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture<half>, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP16Dataset),
290  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
291 {
292  // Validate output
293  validate(CLAccessor(_target), _reference);
294 }
295 TEST_SUITE_END() // FP16
296 
297 TEST_SUITE(FP32)
298 DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })),
299  shape, policy)
300 {
301  // Create tensors
302  CLTensor ref_src1 = create_tensor<CLTensor>(shape, DataType::F32);
303  CLTensor ref_src2 = create_tensor<CLTensor>(shape, DataType::F32);
304  CLTensor dst = create_tensor<CLTensor>(shape, DataType::F32);
305 
306  // Create and Configure function
307  CLArithmeticAddition add;
308  add.configure(&ref_src1, &ref_src2, &dst, policy);
309 
310  // Validate valid region
311  const ValidRegion valid_region = shape_to_valid_region(shape);
312  validate(dst.info()->valid_region(), valid_region);
313 
314  // Validate padding
315  const PaddingSize padding = PaddingCalculator(shape.x(), num_elems_processed_per_iteration).required_padding();
316  validate(ref_src1.info()->padding(), padding);
317  validate(ref_src2.info()->padding(), padding);
318  validate(dst.info()->padding(), padding);
319 }
320 
321 FIXTURE_DATA_TEST_CASE(RunSmall, CLArithmeticAdditionFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ArithmeticAdditionFP32Dataset),
322  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
323 {
324  // Validate output
325  validate(CLAccessor(_target), _reference);
326 }
327 
328 FIXTURE_DATA_TEST_CASE(RunLarge, CLArithmeticAdditionFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ArithmeticAdditionFP32Dataset),
329  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
330 {
331  // Validate output
332  validate(CLAccessor(_target), _reference);
333 }
334 
335 template <typename T>
336 using CLArithmeticAdditionBroadcastFixture = ArithmeticAdditionBroadcastValidationFixture<CLTensor, CLAccessor, CLArithmeticAddition, T>;
337 
338 FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLArithmeticAdditionBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapesBroadcast(),
339  ArithmeticAdditionFP32Dataset),
340  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
341 {
342  // Validate output
343  validate(CLAccessor(_target), _reference);
344 }
345 
346 FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, CLArithmeticAdditionBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapesBroadcast(),
347  ArithmeticAdditionFP32Dataset),
348  framework::dataset::make("ConvertPolicy", { ConvertPolicy::SATURATE, ConvertPolicy::WRAP })))
349 {
350  // Validate output
351  validate(CLAccessor(_target), _reference);
352 }
353 TEST_SUITE_END() // FP32
354 TEST_SUITE_END() // Float
355 
356 TEST_SUITE_END() // ArithmeticAddition
357 TEST_SUITE_END() // CL
358 } // namespace validation
359 } // namespace test
360 } // namespace arm_compute
arm_compute::CLArithmeticAddition::validate
static Status validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy)
Static function to check if given info will lead to a valid configuration of CLSaturatedArithmeticOpe...
Definition: CLElementwiseOperations.cpp:58
arm_compute::test::validation::shape
shape
Definition: AbsoluteDifference.cpp:97
arm_compute::TensorShape
Shape of a tensor.
Definition: TensorShape.h:39
arm_compute::test::validation::policy
policy
Definition: ArithmeticAddition.cpp:139
arm_compute::DataType::QSYMM16
quantized, symmetric fixed-point 16-bit number
arm_compute::CLTensor::info
TensorInfo * info() const override
Interface to be implemented by the child class to return the tensor's metadata.
Definition: CLTensor.cpp:41
arm_compute::BorderSize
Container for 2D border size.
Definition: Types.h:269
arm_compute::TensorInfo::valid_region
ValidRegion valid_region() const override
Valid region of the tensor.
Definition: TensorInfo.h:303
PaddingCalculator.h
arm_compute::test::validation::expected
expected
Definition: BatchNormalizationLayer.cpp:197
arm_compute::Format::U8
1 channel, 1 U8 per channel
CLTensor.h
arm_compute::half
half_float::half half
16-bit floating point type
Definition: Types.h:45
arm_compute::Format::F32
1 channel, 1 F32 per channel
arm_compute::test::validation::ARM_COMPUTE_EXPECT
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
arm_compute::CLArithmeticAddition
Basic function to run CLSaturatedArithmeticOperationKernel for addition.
Definition: CLElementwiseOperations.h:39
arm_compute::test::validation::output_info
output_info
Definition: Winograd.cpp:328
arm_compute::CLArithmeticAddition::configure
void configure(ICLTensor *input1, ICLTensor *input2, ICLTensor *output, ConvertPolicy policy)
Initialise the kernel's inputs, output and conversion policy.
Definition: CLElementwiseOperations.cpp:50
arm_compute::test::framework::dataset::make
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Definition: ContainerDataset.h:161
arm_compute::TensorInfo::padding
PaddingSize padding() const override
Padding of tensor.
Definition: TensorInfo.h:277
CLAccessor.h
arm_compute::test::framework::DatasetMode::PRECOMMIT
arm_compute
Copyright (c) 2017-2020 ARM Limited.
Definition: 00_introduction.dox:24
arm_compute::Format::F16
1 channel, 1 F16 per channel
CLTensorAllocator.h
arm_compute::test::validation::ref_src1
abs_diff configure & ref_src1
Definition: AbsoluteDifference.cpp:106
CLElementwiseOperations.h
arm_compute::QuantizationInfo
Quantization information.
Definition: QuantizationInfo.h:69
arm_compute::test::validation::ref_src2
CLTensor ref_src2
Definition: AbsoluteDifference.cpp:101
arm_compute::test::framework::DatasetMode
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
arm_compute::test::validation::add
CLArithmeticAddition add
Definition: ArithmeticAddition.cpp:146
Datasets.h
arm_compute::DataType::QASYMM8
quantized, asymmetric fixed-point 8-bit number unsigned
arm_compute::test::CLAccessor
Accessor implementation for CLTensor objects.
Definition: CLAccessor.h:35
arm_compute::utils::cast::U
U
Definition: SaturateCast.h:57
arm_compute::test::validation::dst
CLTensor dst
Definition: AbsoluteDifference.cpp:102
arm_compute::test::validation::valid_region
const ValidRegion valid_region
Definition: AbsoluteDifference.cpp:109
arm_compute::PaddingSize
BorderSize PaddingSize
Container for 2D padding size.
Definition: Types.h:356
arm_compute::Format::S16
1 channel, 1 S16 per channel
arm_compute::test::validation::FIXTURE_DATA_TEST_CASE
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
arm_compute::test::framework::DatasetMode::NIGHTLY
arm_compute::test::validation::validate
validate(dst.info() ->valid_region(), valid_region)
arm_compute::ConvertPolicy::WRAP
Wrap around.
arm_compute::test::validation::TEST_SUITE_END
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
Input data sets.
Definition: DequantizationLayer.cpp:137
Validation.h
num_elems_processed_per_iteration
unsigned int num_elems_processed_per_iteration
Definition: CLIm2ColKernel.cpp:54
arm_compute::TensorInfo
Store the tensor's metadata.
Definition: TensorInfo.h:45
arm_compute::test::framework::LogLevel::ERRORS
arm_compute::DataType::QASYMM8_SIGNED
quantized, asymmetric fixed-point 8-bit number signed
arm_compute::test::validation::data_type
data_type
Definition: ArithmeticAddition.cpp:138
arm_compute::ValidRegion
Container for valid region of a window.
Definition: Types.h:184
arm_compute::ConvertPolicy::SATURATE
Saturate.
arm_compute::test::validation::zip
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}))
Types.h
arm_compute::DataType
DataType
Available data types.
Definition: Types.h:75
arm_compute::test::validation::padding
const PaddingSize padding
Definition: AbsoluteDifference.cpp:113
arm_compute::test::validation::CLArithmeticAdditionBroadcastFixture
ArithmeticAdditionBroadcastValidationFixture< CLTensor, CLAccessor, CLArithmeticAddition, T > CLArithmeticAdditionBroadcastFixture
Definition: ArithmeticAddition.cpp:336
arm_compute::test::validation::combine
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65
arm_compute::ConvertPolicy
ConvertPolicy
Policy to handle overflow.
Definition: Types.h:359
arm_compute::test::validation::TEST_SUITE
TEST_SUITE(U8_to_S8) DATA_TEST_CASE(Configuration
arm_compute::test::shape_to_valid_region
ValidRegion shape_to_valid_region(const TensorShape &a_shape, bool border_undefined=false, BorderSize border_size=BorderSize(0))
Create a valid region based on tensor shape, border mode and border size.
Definition: Utils.h:224
arm_compute::test::validation::CLArithmeticAdditionFixture
ArithmeticAdditionValidationFixture< CLTensor, CLAccessor, CLArithmeticAddition, T > CLArithmeticAdditionFixture
Definition: ArithmeticAddition.cpp:100
Asserts.h
arm_compute::test::PaddingCalculator
Calculate required padding.
Definition: PaddingCalculator.h:36
arm_compute::test::validation::DATA_TEST_CASE
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)
Definition: AbsoluteDifference.cpp:60
arm_compute::CLTensor
Basic implementation of the OpenCL tensor interface.
Definition: CLTensor.h:41