Compute Library
 21.11
Validation.h
Go to the documentation of this file.
1 /*
2  * Copyright (c) 2017-2021 Arm Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
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 /** Class reprensenting an absolute tolerance value. */
49 template <typename T>
51 {
52 public:
53  /** Underlying type. */
54  using value_type = T;
55 
56  /* Default constructor.
57  *
58  * Initialises the tolerance to 0.
59  */
60  AbsoluteTolerance() = default;
61 
62  /** Constructor.
63  *
64  * @param[in] value Absolute tolerance value.
65  */
66  explicit constexpr AbsoluteTolerance(T value)
67  : _value{ value }
68  {
69  }
70 
71  /** Implicit conversion to the underlying type.
72  *
73  * @return the underlying type.
74  */
75  constexpr operator T() const
76  {
77  return _value;
78  }
79 
80 private:
81  T _value{ std::numeric_limits<T>::epsilon() };
82 };
83 
84 /** Class reprensenting a relative tolerance value. */
85 template <typename T>
87 {
88 public:
89  /** Underlying type. */
90  using value_type = T;
91 
92  /* Default constructor.
93  *
94  * Initialises the tolerance to 0.
95  */
96  RelativeTolerance() = default;
97 
98  /** Constructor.
99  *
100  * @param[in] value Relative tolerance value.
101  */
102  explicit constexpr RelativeTolerance(value_type value)
103  : _value{ value }
104  {
105  }
106 
107  /** Implicit conversion to the underlying type.
108  *
109  * @return the underlying type.
110  */
111  constexpr operator value_type() const
112  {
113  return _value;
114  }
115 
116 private:
118 };
119 
120 /** Print AbsoluteTolerance type. */
121 template <typename T>
122 inline ::std::ostream &operator<<(::std::ostream &os, const AbsoluteTolerance<T> &tolerance)
123 {
124  os << static_cast<typename AbsoluteTolerance<T>::value_type>(tolerance);
125 
126  return os;
127 }
128 
129 /** Print RelativeTolerance type. */
130 template <typename T>
131 inline ::std::ostream &operator<<(::std::ostream &os, const RelativeTolerance<T> &tolerance)
132 {
133  os << static_cast<typename RelativeTolerance<T>::value_type>(tolerance);
134 
135  return os;
136 }
137 
138 template <typename T>
139 bool compare_dimensions(const Dimensions<T> &dimensions1, const Dimensions<T> &dimensions2, const DataLayout &data_layout = DataLayout::NCHW)
140 {
142 
144  {
145  if(dimensions1.num_dimensions() != dimensions2.num_dimensions())
146  {
147  return false;
148  }
149 
150  for(unsigned int i = 0; i < dimensions1.num_dimensions(); ++i)
151  {
152  if(dimensions1[i] != dimensions2[i])
153  {
154  return false;
155  }
156  }
157  }
158  else
159  {
160  // 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
161  // clang-format off
162  const auto max_dims = std::max(dimensions1.num_dimensions(), dimensions2.num_dimensions());
163  for(unsigned int i = 3; i < max_dims; ++i)
164  {
165  if(dimensions1[i] != dimensions2[i])
166  {
167  return false;
168  }
169  }
170  // clang-format on
171 
172  if((dimensions1[0] != dimensions2[2]) || (dimensions1[1] != dimensions2[0]) || (dimensions1[2] != dimensions2[1]))
173  {
174  return false;
175  }
176  }
177 
178  return true;
179 }
180 
181 /** Validate valid regions.
182  *
183  * - Dimensionality has to be the same.
184  * - Anchors have to match.
185  * - Shapes have to match.
186  */
187 void validate(const arm_compute::ValidRegion &region, const arm_compute::ValidRegion &reference);
188 
189 /** Validate padding.
190  *
191  * Padding on all sides has to be the same.
192  */
193 void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &reference);
194 
195 /** Validate padding.
196  *
197  * Padding on all sides has to be the same.
198  */
199 void validate(const arm_compute::PaddingSize &padding, const arm_compute::PaddingSize &width_reference, const arm_compute::PaddingSize &height_reference);
200 
201 /** Validate tensors.
202  *
203  * - Dimensionality has to be the same.
204  * - All values have to match.
205  *
206  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
207  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
208  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
209  * other test cases.
210  */
211 template <typename T, typename U = AbsoluteTolerance<T>>
212 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value = U(), float tolerance_number = 0.f, float absolute_tolerance_value = 0.f);
213 
214 /** Validate tensors with valid region.
215  *
216  * - Dimensionality has to be the same.
217  * - All values have to match.
218  *
219  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
220  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
221  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
222  * other test cases.
223  */
224 template <typename T, typename U = AbsoluteTolerance<T>>
225 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);
226 
227 /** Validate tensors with valid mask.
228  *
229  * - Dimensionality has to be the same.
230  * - All values have to match.
231  *
232  * @note: wrap_range allows cases where reference tensor rounds up to the wrapping point, causing it to wrap around to
233  * zero while the test tensor stays at wrapping point to pass. This may permit true erroneous cases (difference between
234  * reference tensor and test tensor is multiple of wrap_range), but such errors would be detected by
235  * other test cases.
236  */
237 template <typename T, typename U = AbsoluteTolerance<T>>
238 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value = U(), float tolerance_number = 0.f,
239  float absolute_tolerance_value = 0.f);
240 
241 /** Validate tensors against constant value.
242  *
243  * - All values have to match.
244  */
245 void validate(const IAccessor &tensor, const void *reference_value);
246 
247 /** Validate border against a constant value.
248  *
249  * - All border values have to match the specified value if mode is CONSTANT.
250  * - All border values have to be replicated if mode is REPLICATE.
251  * - Nothing is validated for mode UNDEFINED.
252  */
253 void validate(const IAccessor &tensor, BorderSize border_size, const BorderMode &border_mode, const void *border_value);
254 
255 /** Validate classified labels against expected ones.
256  *
257  * - All values should match
258  */
259 void validate(std::vector<unsigned int> classified_labels, std::vector<unsigned int> expected_labels);
260 
261 /** Validate float value.
262  *
263  * - All values should match
264  */
265 template <typename T, typename U = AbsoluteTolerance<T>>
266 bool validate(T target, T reference, U tolerance = AbsoluteTolerance<T>());
267 
268 template <typename T>
270 {
271  /** Construct a comparison object.
272  *
273  * @param[in] target Target value.
274  * @param[in] reference Reference value.
275  * @param[in] tolerance Allowed tolerance.
276  */
277  compare_base(typename T::value_type target, typename T::value_type reference, T tolerance = T(0))
278  : _target{ target }, _reference{ reference }, _tolerance{ tolerance }
279  {
280  }
281 
282  typename T::value_type _target{}; /**< Target value */
283  typename T::value_type _reference{}; /**< Reference value */
284  T _tolerance{}; /**< Tolerance value */
285 };
286 
287 template <typename T>
288 struct compare;
289 
290 /** Compare values with an absolute tolerance */
291 template <typename U>
292 struct compare<AbsoluteTolerance<U>> : public compare_base<AbsoluteTolerance<U>>
293 {
295 
296  /** Perform comparison */
297  operator bool() const
298  {
299  if(!support::cpp11::isfinite(this->_target) || !support::cpp11::isfinite(this->_reference))
300  {
301  return false;
302  }
303  else if(this->_target == this->_reference)
304  {
305  return true;
306  }
307 
308  using comparison_type = typename std::conditional<std::is_integral<U>::value, int64_t, U>::type;
309 
310  const comparison_type abs_difference(std::abs(static_cast<comparison_type>(this->_target) - static_cast<comparison_type>(this->_reference)));
311 
312  return abs_difference <= static_cast<comparison_type>(this->_tolerance);
313  }
314 };
315 
316 /** Compare values with a relative tolerance */
317 template <typename U>
318 struct compare<RelativeTolerance<U>> : public compare_base<RelativeTolerance<U>>
319 {
321 
322  /** Perform comparison */
323  operator bool() const
324  {
325  if(!support::cpp11::isfinite(this->_target) || !support::cpp11::isfinite(this->_reference))
326  {
327  return false;
328  }
329  else if(this->_target == this->_reference)
330  {
331  return true;
332  }
333 
334  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);
335 
336  if(std::abs(static_cast<double>(this->_reference) - static_cast<double>(this->_target)) <= epsilon)
337  {
338  return true;
339  }
340  else
341  {
342  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
343  {
344  return false;
345  }
346 
347  const double relative_change = std::abs((static_cast<double>(this->_target) - static_cast<double>(this->_reference)) / this->_reference);
348 
349  return relative_change <= static_cast<U>(this->_tolerance);
350  }
351  }
352 };
353 
354 template <typename T, typename U>
355 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
356 {
357  // Validate with valid region covering the entire shape
358  validate(tensor, reference, shape_to_valid_region(reference.shape()), tolerance_value, tolerance_number, absolute_tolerance_value);
359 }
360 
361 template <typename T, typename U, typename = typename std::enable_if<std::is_integral<T>::value>::type>
362 void validate_wrap(const IAccessor &tensor, const SimpleTensor<T> &reference, U tolerance_value, float tolerance_number)
363 {
364  // Validate with valid region covering the entire shape
365  validate_wrap(tensor, reference, shape_to_valid_region(reference.shape()), tolerance_value, tolerance_number);
366 }
367 
368 template <typename T, typename U>
369 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
370 {
371  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
372  {
373  return;
374  }
375 
376  uint64_t num_mismatches = 0;
377  uint64_t num_elements = 0;
378 
381 
382  if(reference.format() != Format::UNKNOWN)
383  {
385  }
386 
389 
390  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
391  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
392 
393  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
394  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
395  {
396  const Coordinates id = index2coord(reference.shape(), element_idx);
397 
398  Coordinates target_id(id);
399  if(tensor.data_layout() == DataLayout::NHWC)
400  {
401  permute(target_id, PermutationVector(2U, 0U, 1U));
402  }
403 
404  if(is_in_valid_region(valid_region, id))
405  {
406  // Iterate over all channels within one element
407  for(int c = 0; c < min_channels; ++c)
408  {
409  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
410  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
411 
412  if(!compare<U>(target_value, reference_value, tolerance_value))
413  {
414  if(absolute_tolerance_value != 0.f)
415  {
416  const AbsoluteTolerance<float> abs_tolerance(absolute_tolerance_value);
417  if(compare<AbsoluteTolerance<float>>(target_value, reference_value, abs_tolerance))
418  {
419  continue;
420  }
421  }
422  ARM_COMPUTE_TEST_INFO("id = " << id);
423  ARM_COMPUTE_TEST_INFO("channel = " << c);
424  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
425  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
426  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
428 
429  ++num_mismatches;
430  }
431 
432  ++num_elements;
433  }
434  }
435  }
436 
437  if(num_elements != 0)
438  {
439  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
440  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
441 
442  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
443  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
444  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
445  }
446 }
447 
448 template <typename T, typename U, typename = typename std::enable_if<std::is_integral<T>::value>::type>
449 void validate_wrap(const IAccessor &tensor, const SimpleTensor<T> &reference, const ValidRegion &valid_region, U tolerance_value, float tolerance_number)
450 {
451  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
452  {
453  return;
454  }
455 
456  uint64_t num_mismatches = 0;
457  uint64_t num_elements = 0;
458 
461 
462  if(reference.format() != Format::UNKNOWN)
463  {
465  }
466 
469 
470  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
471  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
472 
473  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
474  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
475  {
476  const Coordinates id = index2coord(reference.shape(), element_idx);
477 
478  Coordinates target_id(id);
479  if(tensor.data_layout() == DataLayout::NHWC)
480  {
481  permute(target_id, PermutationVector(2U, 0U, 1U));
482  }
483 
484  if(is_in_valid_region(valid_region, id))
485  {
486  // Iterate over all channels within one element
487  for(int c = 0; c < min_channels; ++c)
488  {
489  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
490  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
491 
492  bool equal = compare<U>(target_value, reference_value, tolerance_value);
493 
494  // check for wrapping
495  if(!equal)
496  {
497  if(!support::cpp11::isfinite(target_value) || !support::cpp11::isfinite(reference_value))
498  {
499  equal = false;
500  }
501  else
502  {
503  using limits_type = typename std::make_unsigned<T>::type;
504 
505  uint64_t max = std::numeric_limits<limits_type>::max();
506  uint64_t abs_sum = std::abs(static_cast<int64_t>(target_value)) + std::abs(static_cast<int64_t>(reference_value));
507  uint64_t wrap_difference = max - abs_sum;
508 
509  equal = wrap_difference < static_cast<uint64_t>(tolerance_value);
510  }
511  }
512 
513  if(!equal)
514  {
515  ARM_COMPUTE_TEST_INFO("id = " << id);
516  ARM_COMPUTE_TEST_INFO("channel = " << c);
517  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
518  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
519  ARM_COMPUTE_TEST_INFO("wrap_tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
521 
522  ++num_mismatches;
523  }
524 
525  ++num_elements;
526  }
527  }
528  }
529 
530  if(num_elements != 0)
531  {
532  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
533  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
534 
535  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
536  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
537  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
538  }
539 }
540 
541 template <typename T, typename U>
542 void validate(const IAccessor &tensor, const SimpleTensor<T> &reference, const SimpleTensor<T> &valid_mask, U tolerance_value, float tolerance_number, float absolute_tolerance_value)
543 {
544  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
545  {
546  return;
547  }
548 
549  uint64_t num_mismatches = 0;
550  uint64_t num_elements = 0;
551 
554 
555  if(reference.format() != Format::UNKNOWN)
556  {
558  }
559 
562 
563  const int min_elements = std::min(tensor.num_elements(), reference.num_elements());
564  const int min_channels = std::min(tensor.num_channels(), reference.num_channels());
565 
566  // Iterate over all elements within valid region, e.g. U8, S16, RGB888, ...
567  for(int element_idx = 0; element_idx < min_elements; ++element_idx)
568  {
569  const Coordinates id = index2coord(reference.shape(), element_idx);
570 
571  Coordinates target_id(id);
572  if(tensor.data_layout() == DataLayout::NHWC)
573  {
574  permute(target_id, PermutationVector(2U, 0U, 1U));
575  }
576 
577  if(valid_mask[element_idx] == 1)
578  {
579  // Iterate over all channels within one element
580  for(int c = 0; c < min_channels; ++c)
581  {
582  const T &target_value = reinterpret_cast<const T *>(tensor(target_id))[c];
583  const T &reference_value = reinterpret_cast<const T *>(reference(id))[c];
584 
585  if(!compare<U>(target_value, reference_value, tolerance_value))
586  {
587  if(absolute_tolerance_value != 0.f)
588  {
589  const AbsoluteTolerance<float> abs_tolerance(absolute_tolerance_value);
590  if(compare<AbsoluteTolerance<float>>(target_value, reference_value, abs_tolerance))
591  {
592  continue;
593  }
594  }
595  ARM_COMPUTE_TEST_INFO("id = " << id);
596  ARM_COMPUTE_TEST_INFO("channel = " << c);
597  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target_value));
598  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference_value));
599  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance_value)));
601 
602  ++num_mismatches;
603  }
604 
605  ++num_elements;
606  }
607  }
608  else
609  {
610  ++num_elements;
611  }
612  }
613 
614  if(num_elements != 0)
615  {
616  const uint64_t absolute_tolerance_number = tolerance_number * num_elements;
617  const float percent_mismatches = static_cast<float>(num_mismatches) / num_elements * 100.f;
618 
619  ARM_COMPUTE_TEST_INFO(num_mismatches << " values (" << std::fixed << std::setprecision(2) << percent_mismatches
620  << "%) mismatched (maximum tolerated " << std::setprecision(2) << tolerance_number * 100 << "%)");
621  ARM_COMPUTE_EXPECT(num_mismatches <= absolute_tolerance_number, framework::LogLevel::ERRORS);
622  }
623 }
624 
625 template <typename T, typename U>
626 bool validate(T target, T reference, U tolerance)
627 {
628  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
629  {
630  return true;
631  }
632 
633  ARM_COMPUTE_TEST_INFO("reference = " << std::setprecision(5) << framework::make_printable(reference));
634  ARM_COMPUTE_TEST_INFO("target = " << std::setprecision(5) << framework::make_printable(target));
635  ARM_COMPUTE_TEST_INFO("tolerance = " << std::setprecision(5) << framework::make_printable(static_cast<typename U::value_type>(tolerance)));
636 
637  const bool equal = compare<U>(target, reference, tolerance);
638 
640 
641  return equal;
642 }
643 
644 template <typename T, typename U>
646 {
647  if(framework::Framework::get().configure_only() && framework::Framework::get().new_fixture_call())
648  {
649  return;
650  }
651 
654 
655  ARM_COMPUTE_EXPECT_EQUAL(target.min_loc.size(), reference.min_loc.size(), framework::LogLevel::ERRORS);
656  ARM_COMPUTE_EXPECT_EQUAL(target.max_loc.size(), reference.max_loc.size(), framework::LogLevel::ERRORS);
657 
658  for(uint32_t i = 0; i < target.min_loc.size(); ++i)
659  {
660  const auto same_coords = std::find_if(reference.min_loc.begin(), reference.min_loc.end(), [&target, i](Coordinates2D coord)
661  {
662  return coord.x == target.min_loc.at(i).x && coord.y == target.min_loc.at(i).y;
663  });
664 
665  ARM_COMPUTE_EXPECT(same_coords != reference.min_loc.end(), framework::LogLevel::ERRORS);
666  }
667 
668  for(uint32_t i = 0; i < target.max_loc.size(); ++i)
669  {
670  const auto same_coords = std::find_if(reference.max_loc.begin(), reference.max_loc.end(), [&target, i](Coordinates2D coord)
671  {
672  return coord.x == target.max_loc.at(i).x && coord.y == target.max_loc.at(i).y;
673  });
674 
675  ARM_COMPUTE_EXPECT(same_coords != reference.max_loc.end(), framework::LogLevel::ERRORS);
676  }
677 }
678 } // namespace validation
679 } // namespace test
680 } // namespace arm_compute
681 #endif /* ARM_COMPUTE_TEST_REFERENCE_VALIDATION_H */
constexpr AbsoluteTolerance(T value)
Constructor.
Definition: Validation.h:66
BorderMode
Methods available to handle borders.
Definition: Types.h:261
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:50
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:269
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:277
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:139
const ValidRegion valid_region
Definition: Scale.cpp:214
decltype(strategy::transforms) typedef type
#define ARM_COMPUTE_EXPECT_EQUAL(X, Y, LEVEL)
Definition: Asserts.h:104
virtual TensorShape shape() const =0
Shape of the tensor.
#define ARM_COMPUTE_TEST_INFO(INFO)
Definition: Asserts.h:65
Copyright (c) 2017-2021 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:645
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:422
Class reprensenting a relative tolerance value.
Definition: Validation.h:86
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.
constexpr RelativeTolerance(value_type value)
Constructor.
Definition: Validation.h:102
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:362
std::vector< Coordinates2D > max_loc
Max value location.
Definition: Types.h:40