Compute Library
 22.05
Validation.h
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24 #ifndef ARM_COMPUTE_TEST_VALIDATION_H
25 #define ARM_COMPUTE_TEST_VALIDATION_H
26 
28 #include "arm_compute/core/Types.h"
30 #include "tests/IAccessor.h"
31 #include "tests/SimpleTensor.h"
32 #include "tests/Types.h"
33 #include "tests/Utils.h"
36 #include "utils/TypePrinter.h"
37 
38 #include <iomanip>
39 #include <ios>
40 #include <vector>
41 
42 namespace arm_compute
43 {
44 namespace test
45 {
46 namespace validation
47 {
48 namespace
49 {
50 // Compare if 2 values are both infinities and if they are "equal" (has the same sign)
51 template <typename T>
52 inline bool are_equal_infs(T val0, T val1)
53 {
54  const auto same_sign = support::cpp11::signbit(val0) == support::cpp11::signbit(val1);
55  return (!support::cpp11::isfinite(val0)) && (!support::cpp11::isfinite(val1)) && same_sign;
56 }
57 } // namespace
58 
59 /** Class reprensenting an absolute tolerance value. */
60 template <typename T>
62 {
63 public:
64  /** Underlying type. */
65  using value_type = T;
66 
67  /* Default constructor.
68  *
69  * Initialises the tolerance to 0.
70  */
71  AbsoluteTolerance() = default;
72 
73  /** Constructor.
74  *
75  * @param[in] value Absolute tolerance value.
76  */
77  explicit constexpr AbsoluteTolerance(T value)
78  : _value{ value }
79  {
80  }
81 
82  /** Implicit conversion to the underlying type.
83  *
84  * @return the underlying type.
85  */
86  constexpr operator T() const
87  {
88  return _value;
89  }
90 
91 private:
92  T _value{ std::numeric_limits<T>::epsilon() };
93 };
94 
95 /** Class reprensenting a relative tolerance value. */
96 template <typename T>
98 {
99 public:
100  /** Underlying type. */
101  using value_type = T;
102 
103  /* Default constructor.
104  *
105  * Initialises the tolerance to 0.
106  */
107  RelativeTolerance() = default;
108 
109  /** Constructor.
110  *
111  * @param[in] value Relative tolerance value.
112  */
113  explicit constexpr RelativeTolerance(value_type value)
114  : _value{ value }
115  {
116  }
117 
118  /** Implicit conversion to the underlying type.
119  *
120  * @return the underlying type.
121  */
122  constexpr operator value_type() const
123  {
124  return _value;
125  }
126 
127 private:
129 };
130 
131 /** Print AbsoluteTolerance type. */
132 template <typename T>
133 inline ::std::ostream &operator<<(::std::ostream &os, const AbsoluteTolerance<T> &tolerance)
134 {
135  os << static_cast<typename AbsoluteTolerance<T>::value_type>(tolerance);
136 
137  return os;
138 }
139 
140 /** Print RelativeTolerance type. */
141 template <typename T>
142 inline ::std::ostream &operator<<(::std::ostream &os, const RelativeTolerance<T> &tolerance)
143 {
144  os << static_cast<typename RelativeTolerance<T>::value_type>(tolerance);
145 
146  return os;
147 }
148 
149 template <typename T>
150 bool compare_dimensions(const Dimensions<T> &dimensions1, const Dimensions<T> &dimensions2, const DataLayout &data_layout = DataLayout::NCHW)
151 {
153 
155  {
156  if(dimensions1.num_dimensions() != dimensions2.num_dimensions())
157  {
158  return false;
159  }
160 
161  for(unsigned int i = 0; i < dimensions1.num_dimensions(); ++i)
162  {
163  if(dimensions1[i] != dimensions2[i])
164  {
165  return false;
166  }
167  }
168  }
169  else
170  {
171  // In case a 1D/2D shape becomes 3D after permutation, the permuted tensor will have two/one dimension(s) more and the first (two) value(s) will be 1
172  // clang-format off
173  const auto max_dims = std::max(dimensions1.num_dimensions(), dimensions2.num_dimensions());
174  for(unsigned int i = 3; i < max_dims; ++i)
175  {
176  if(dimensions1[i] != dimensions2[i])
177  {
178  return false;
179  }
180  }
181  // clang-format on
182 
183  if((dimensions1[0] != dimensions2[2]) || (dimensions1[1] != dimensions2[0]) || (dimensions1[2] != dimensions2[1]))
184  {
185  return false;
186  }
187  }
188 
189  return true;
190 }
191 
192 /** Validate valid regions.
193  *
194  * - Dimensionality has to be the same.
195  * - Anchors have to match.
196  * - Shapes have to match.
197  */
198 void validate(const arm_compute::ValidRegion &region, const arm_compute::ValidRegion &reference);
199 
200 /** Validate padding.
201  *
202  * Padding on all sides has to be the same.
203  */
204 void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &reference);
205 
206 /** Validate padding.
207  *
208  * Padding on all sides has to be the same.
209  */
210 void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &width_reference, const arm_compute::PaddingSize &height_reference);
211 
212 /** Validate tensors.
213  *
214  * - Dimensionality has to be the same.
215  * - All values have to match.
216  *
217  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
218  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
219  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
220  * other test cases.
221  */
222 template <typename T, typename U = AbsoluteTolerance<T>>
223 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value = U(), float tolerance_number = 0.f, float absolute_tolerance_value = 0.f);
224 
225 /** Validate tensors with valid region.
226  *
227  * - Dimensionality has to be the same.
228  * - All values have to match.
229  *
230  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
231  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
232  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
233  * other test cases.
234  */
235 template <typename T, typename U = AbsoluteTolerance<T>>
236 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value = U(), float tolerance_number = 0.f, float absolute_tolerance_value = 0.f);
237 
238 /** Validate tensors with valid mask.
239  *
240  * - Dimensionality has to be the same.
241  * - All values have to match.
242  *
243  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
244  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
245  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
246  * other test cases.
247  */
248 template <typename T, typename U = AbsoluteTolerance<T>>
249 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value = U(), float tolerance_number = 0.f,
250  float absolute_tolerance_value = 0.f);
251 
252 /** Validate tensors against constant value.
253  *
254  * - All values have to match.
255  */
256 void validate(const IAccessor &tensor, const void *reference_value);
257 
258 /** Validate border against a constant value.
259  *
260  * - All border values have to match the specified value if mode is CONSTANT.
261  * - All border values have to be replicated if mode is REPLICATE.
262  * - Nothing is validated for mode UNDEFINED.
263  */
264 void validate(const IAccessor &tensor, BorderSize border_size, const BorderMode &border_mode, const void *border_value);
265 
266 /** Validate classified labels against expected ones.
267  *
268  * - All values should match
269  */
270 void validate(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels);
271 
272 /** Validate float value.
273  *
274  * - All values should match
275  */
276 template <typename T, typename U = AbsoluteTolerance<T>>
277 bool validate(T target, T reference, U tolerance = AbsoluteTolerance<T>());
278 
279 template <typename T>
281 {
282  /** Construct a comparison object.
283  *
284  * @param[in] target Target value.
285  * @param[in] reference Reference value.
286  * @param[in] tolerance Allowed tolerance.
287  */
288  compare_base(typename T::value_type target, typename T::value_type reference, T tolerance = T(0))
289  : _target{ target }, _reference{ reference }, _tolerance{ tolerance }
290  {
291  }
292 
293  typename T::value_type _target{}; /**< Target value */
294  typename T::value_type _reference{}; /**< Reference value */
295  T _tolerance{}; /**< Tolerance value */
296 };
297 
298 template <typename T>
299 struct compare;
300 
301 /** Compare values with an absolute tolerance */
302 template <typename U>
303 struct compare<AbsoluteTolerance<U>> : public compare_base<AbsoluteTolerance<U>>
304 {
306 
307  /** Perform comparison */
308  operator bool() const
309  {
310  if(are_equal_infs(this->_target, this->_reference))
311  {
312  return true;
313  }
314  else if(this->_target == this->_reference)
315  {
316  return true;
317  }
318 
319  using comparison_type = typename std::conditional<std::is_integral<U>::value, int64_t, U>::type;
320 
321  const comparison_type abs_difference(std::abs(static_cast<comparison_type>(this->_target) - static_cast<comparison_type>(this->_reference)));
322 
323  return abs_difference <= static_cast<comparison_type>(this->_tolerance);
324  }
325 };
326 
327 /** Compare values with a relative tolerance */
328 template <typename U>
329 struct compare<RelativeTolerance<U>> : public compare_base<RelativeTolerance<U>>
330 {
332 
333  /** Perform comparison */
334  operator bool() const
335  {
336  if(are_equal_infs(this->_target, this->_reference))
337  {
338  return true;
339  }
340  else if(this->_target == this->_reference)
341  {
342  return true;
343  }
344 
345  const U epsilon = (std::is_same<half, typename std::remove_cv<U>::type>::value || (this->_reference == 0)) ? static_cast<U>(0.01) : static_cast<U>(1e-05);
346 
347  if(std::abs(static_cast<double>(this->_reference) - static_cast<double>(this->_target)) <= epsilon)
348  {
349  return true;
350  }
351  else
352  {
353  if(static_cast<double>(this->_reference) == 0.0f) // We have checked whether _reference and _target is closing. If _reference is 0 but not closed to _target, it should return false
354  {
355  return false;
356  }
357 
358  const double relative_change = std::abs((static_cast<double>(this->_target) - static_cast<double>(this->_reference)) / this->_reference);
359 
360  return relative_change <= static_cast<U>(this->_tolerance);
361  }
362  }
363 };
364 
365 template <typename T, typename U>
366 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
367 {
368  // Validate with valid region covering the entire shape
369  validate(tensor, reference, shape_to_valid_region(reference.shape()), tolerance_value, tolerance_number, absolute_tolerance_value);
370 }
371 
372 template <typename T, typename U, typename = typename std::enable_if<std::is_integral<T>::value>::type>
373 void validate_wrap(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value, float tolerance_number)
374 {
375  // Validate with valid region covering the entire shape
376  validate_wrap(tensor, reference, shape_to_valid_region(reference.shape()), tolerance_value, tolerance_number);
377 }
378 
379 template <typename T, typename U>
380 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
381 {
382  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
383  {
384  return;
385  }
386 
387  uint64_t num_mismatches = 0;
388  uint64_t num_elements = 0;
389 
392 
393  if(reference.format() != Format::UNKNOWN)
394  {
396  }
397 
400 
401  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
402  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
403 
404  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
405  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
406  {
407  const Coordinates id = index2coord(reference.shape(), element_idx);
408 
409  Coordinates target_id(id);
410  if(tensor.data_layout() == DataLayout::NHWC)
411  {
412  permute(target_id, PermutationVector(2U, 0U, 1U));
413  }
414 
415  if(is_in_valid_region(valid_region, id))
416  {
417  // Iterate over all channels within one element
418  for(int c = 0; c < min_channels; ++c)
419  {
420  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
421  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
422 
423  if(!compare<U>(target_value, reference_value, tolerance_value))
424  {
425  if(absolute_tolerance_value != 0.f)
426  {
427  const AbsoluteTolerance<float> abs_tolerance(absolute_tolerance_value);
428  if(compare<AbsoluteTolerance<float>>(target_value, reference_value, abs_tolerance))
429  {
430  continue;
431  }
432  }
433  ARM_COMPUTE_TEST_INFO("id = " << id);
434  ARM_COMPUTE_TEST_INFO("channel = " << c);
435  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
436  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
437  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
439 
440  ++num_mismatches;
441  }
442 
443  ++num_elements;
444  }
445  }
446  }
447 
448  if(num_elements != 0)
449  {
450  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
451  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
452 
453  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
454  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
455  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
456  }
457 }
458 
459 template <typename T, typename U, typename = typename std::enable_if<std::is_integral<T>::value>::type>
460 void validate_wrap(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value, float tolerance_number)
461 {
462  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
463  {
464  return;
465  }
466 
467  uint64_t num_mismatches = 0;
468  uint64_t num_elements = 0;
469 
472 
473  if(reference.format() != Format::UNKNOWN)
474  {
476  }
477 
480 
481  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
482  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
483 
484  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
485  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
486  {
487  const Coordinates id = index2coord(reference.shape(), element_idx);
488 
489  Coordinates target_id(id);
490  if(tensor.data_layout() == DataLayout::NHWC)
491  {
492  permute(target_id, PermutationVector(2U, 0U, 1U));
493  }
494 
495  if(is_in_valid_region(valid_region, id))
496  {
497  // Iterate over all channels within one element
498  for(int c = 0; c < min_channels; ++c)
499  {
500  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
501  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
502 
503  bool equal = compare<U>(target_value, reference_value, tolerance_value);
504 
505  // check for wrapping
506  if(!equal)
507  {
508  if(are_equal_infs(target_value, reference_value))
509  {
510  equal = true;
511  }
512  else
513  {
514  using limits_type = typename std::make_unsigned<T>::type;
515 
516  uint64_t max = std::numeric_limits<limits_type>::max();
517  uint64_t abs_sum = std::abs(static_cast<int64_t>(target_value)) + std::abs(static_cast<int64_t>(reference_value));
518  uint64_t wrap_difference = max - abs_sum;
519 
520  equal = wrap_difference < static_cast<uint64_t>(tolerance_value);
521  }
522  }
523 
524  if(!equal)
525  {
526  ARM_COMPUTE_TEST_INFO("id = " << id);
527  ARM_COMPUTE_TEST_INFO("channel = " << c);
528  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
529  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
530  ARM_COMPUTE_TEST_INFO("wrap_tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
532 
533  ++num_mismatches;
534  }
535 
536  ++num_elements;
537  }
538  }
539  }
540 
541  if(num_elements != 0)
542  {
543  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
544  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
545 
546  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
547  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
548  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
549  }
550 }
551 
552 template <typename T, typename U>
553 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
554 {
555  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
556  {
557  return;
558  }
559 
560  uint64_t num_mismatches = 0;
561  uint64_t num_elements = 0;
562 
565 
566  if(reference.format() != Format::UNKNOWN)
567  {
569  }
570 
573 
574  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
575  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
576 
577  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
578  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
579  {
580  const Coordinates id = index2coord(reference.shape(), element_idx);
581 
582  Coordinates target_id(id);
583  if(tensor.data_layout() == DataLayout::NHWC)
584  {
585  permute(target_id, PermutationVector(2U, 0U, 1U));
586  }
587 
588  if(valid_mask[element_idx] == 1)
589  {
590  // Iterate over all channels within one element
591  for(int c = 0; c < min_channels; ++c)
592  {
593  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
594  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
595 
596  if(!compare<U>(target_value, reference_value, tolerance_value))
597  {
598  if(absolute_tolerance_value != 0.f)
599  {
600  const AbsoluteTolerance<float> abs_tolerance(absolute_tolerance_value);
601  if(compare<AbsoluteTolerance<float>>(target_value, reference_value, abs_tolerance))
602  {
603  continue;
604  }
605  }
606  ARM_COMPUTE_TEST_INFO("id = " << id);
607  ARM_COMPUTE_TEST_INFO("channel = " << c);
608  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
609  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
610  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
612 
613  ++num_mismatches;
614  }
615 
616  ++num_elements;
617  }
618  }
619  else
620  {
621  ++num_elements;
622  }
623  }
624 
625  if(num_elements != 0)
626  {
627  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
628  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
629 
630  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
631  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
632  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
633  }
634 }
635 
636 template <typename T, typename U>
637 bool validate(T target, T reference, U tolerance)
638 {
639  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
640  {
641  return true;
642  }
643 
644  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference));
645  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target));
646  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance)));
647 
648  const bool equal = compare<U>(target, reference, tolerance);
649 
651 
652  return equal;
653 }
654 
655 template <typename T, typename U>
657 {
658  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
659  {
660  return;
661  }
662 
665 
666  ARM_COMPUTE_EXPECT_EQUAL(target.min_loc.size(), reference.min_loc.size(), framework::LogLevel::ERRORS);
667  ARM_COMPUTE_EXPECT_EQUAL(target.max_loc.size(), reference.max_loc.size(), framework::LogLevel::ERRORS);
668 
669  for(uint32_t i = 0; i < target.min_loc.size(); ++i)
670  {
671  const auto same_coords = std::find_if(reference.min_loc.begin(), reference.min_loc.end(), [&target, i](Coordinates2D coord)
672  {
673  return coord.x == target.min_loc.at(i).x && coord.y == target.min_loc.at(i).y;
674  });
675 
676  ARM_COMPUTE_EXPECT(same_coords != reference.min_loc.end(), framework::LogLevel::ERRORS);
677  }
678 
679  for(uint32_t i = 0; i < target.max_loc.size(); ++i)
680  {
681  const auto same_coords = std::find_if(reference.max_loc.begin(), reference.max_loc.end(), [&target, i](Coordinates2D coord)
682  {
683  return coord.x == target.max_loc.at(i).x && coord.y == target.max_loc.at(i).y;
684  });
685 
686  ARM_COMPUTE_EXPECT(same_coords != reference.max_loc.end(), framework::LogLevel::ERRORS);
687  }
688 }
689 } // namespace validation
690 } // namespace test
691 } // namespace arm_compute
692 #endif /* ARM_COMPUTE_TEST_REFERENCE_VALIDATION_H */
constexpr AbsoluteTolerance(T value)
Constructor.
Definition: Validation.h:77
BorderMode
Methods available to handle borders.
Definition: Types.h:274
size_t element_size() const override
Size of each element in the tensor in bytes.
Definition: SimpleTensor.h:326
MinMaxType max
Max value.
Definition: Types.h:38
Class reprensenting an absolute tolerance value.
Definition: Validation.h:61
std::vector< Coordinates2D > min_loc
Min value location.
Definition: Types.h:39
virtual Format format() const =0
Image format of the tensor.
Container for 2D border size.
Definition: Types.h:282
int make_printable(int8_t value)
Definition: Asserts.h:40
Format format() const override
Image format of the tensor.
Definition: SimpleTensor.h:345
DataType data_type() const override
Data type of the tensor.
Definition: SimpleTensor.h:357
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
Strides PermutationVector
Permutation vector.
Definition: Types.h:51
#define ARM_COMPUTE_ERROR_ON(cond)
If the condition is true then an error message is printed and an exception thrown.
Definition: Error.h:466
compare_base(typename T::value_type target, typename T::value_type reference, T tolerance=T(0))
Construct a comparison object.
Definition: Validation.h:288
TensorShape shape() const override
Shape of the tensor.
Definition: SimpleTensor.h:320
bool compare_dimensions(const Dimensions< T > &dimensions1, const Dimensions< T > &dimensions2, const DataLayout &data_layout=DataLayout::NCHW)
Definition: Validation.h:150
const ValidRegion valid_region
Definition: Scale.cpp:214
decltype(strategy::transforms) typedef type
virtual TensorShape shape() const =0
Shape of the tensor.
#define ARM_COMPUTE_TEST_INFO(INFO)
Definition: Asserts.h:65
Copyright (c) 2017-2022 Arm Limited.
static Framework & get()
Access to the singleton.
Definition: Framework.cpp:124
void permute(Dimensions< T > &dimensions, const PermutationVector &perm)
Permutes given Dimensions according to a permutation vector.
Definition: Helpers.h:125
void validate_min_max_loc(const MinMaxLocationValues< T > &target, const MinMaxLocationValues< U > &reference)
Definition: Validation.h:656
bool is_in_valid_region(const ValidRegion &valid_region, Coordinates coord)
Check if a coordinate is within a valid region.
Definition: Utils.h:405
Coordinates of an item.
Definition: Coordinates.h:37
Dimensions with dimensionality.
Definition: Dimensions.h:42
Min and max values and locations.
Definition: Types.h:35
validate(CLAccessor(output_state), expected_output)
virtual int num_elements() const =0
Number of elements of the tensor.
Coordinates index2coord(const TensorShape &shape, int index)
Convert a linear index into n-dimensional coordinates.
Definition: Utils.h:358
virtual DataLayout data_layout() const =0
Data layout of the tensor.
Num samples, channels, height, width.
Simple tensor object that stores elements in a consecutive chunk of memory.
Definition: SimpleTensor.h:58
int num_channels() const override
Number of channels of the tensor.
Definition: SimpleTensor.h:370
Coordinate type.
Definition: Types.h:435
Class reprensenting a relative tolerance value.
Definition: Validation.h:97
virtual DataType data_type() const =0
Data type of the tensor.
Common interface to provide information and access to tensor like structures.
Definition: IAccessor.h:37
unsigned int num_dimensions() const
Returns the effective dimensionality of the tensor.
Definition: Dimensions.h:143
Num samples, height, width, channels.
int num_elements() const override
Number of elements of the tensor.
Definition: SimpleTensor.h:406
virtual size_t element_size() const =0
Size of each element in the tensor in bytes.
ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS)
constexpr RelativeTolerance(value_type value)
Constructor.
Definition: Validation.h:113
Container for valid region of a window.
Definition: Types.h:184
MinMaxType min
Min value.
Definition: Types.h:37
virtual int num_channels() const =0
Number of channels of the tensor.
DataLayout
[DataLayout enum definition]
Definition: Types.h:113
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:218
void validate_wrap(const IAccessor &tensor, const SimpleTensor< T > &reference, U tolerance_value, float tolerance_number)
Definition: Validation.h:373
std::vector< Coordinates2D > max_loc
Max value location.
Definition: Types.h:40