ArmNN
 24.08
SerializeLayerParameters.cpp
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1 //
2 // Copyright © 2017,2022-2023 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
6 #include <armnn/TypesUtils.hpp>
7 #include <string>
8 #include <iostream>
9 #include <sstream>
10 
11 namespace armnn
12 {
13 
15  const ActivationDescriptor& desc)
16 {
17  fn("Function", GetActivationFunctionAsCString(desc.m_Function));
18  fn("A", std::to_string(desc.m_A));
19  fn("B", std::to_string(desc.m_B));
20 }
21 
23  const BatchNormalizationDescriptor& desc)
24 {
25  fn("Eps", std::to_string(desc.m_Eps));
26  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
27 }
28 
30  const BatchMatMulDescriptor& desc)
31 {
32  fn("TransposeX", (desc.m_TransposeX ? "true" : "false"));
33  fn("TransposeX", (desc.m_TransposeY ? "true" : "false"));
34  fn("AdjointX", (desc.m_AdjointX ? "true" : "false"));
35  fn("AdjointY", (desc.m_AdjointY ? "true" : "false"));
36 }
37 
39  const BatchToSpaceNdDescriptor& desc)
40 {
41  {
42  std::stringstream ss;
43  int count = 0;
44  for (auto&& var : desc.m_BlockShape)
45  {
46  if (count > 0)
47  {
48  ss << ",";
49  }
50  ss << var;
51  ++count;
52  }
53  fn("BlockShape", ss.str());
54  }
55 
56  {
57  std::stringstream ss;
58  int count = 0;
59  for (auto&& var : desc.m_Crops)
60  {
61  if (count > 0)
62  {
63  ss << ",";
64  }
65  ss << "[" << var.first << "," << var.second << "]";
66  ++count;
67  }
68  fn("Crops", ss.str());
69  }
70 
71  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
72 }
73 
75  const ChannelShuffleDescriptor& desc)
76 {
77  fn("Axis", std::to_string(desc.m_Axis));
78  fn("NumGroups", std::to_string(desc.m_NumGroups));
79 }
80 
82  const ComparisonDescriptor& desc)
83 {
84  fn("Operation", GetComparisonOperationAsCString(desc.m_Operation));
85 }
86 
88  const Convolution2dDescriptor& desc)
89 {
90  {
91  std::stringstream ss;
92  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
93  << "," << desc.m_PadBottom << "," << desc.m_PadRight << ")";
94  fn("Padding(T,L,B,R)",ss.str());
95  }
96 
97  {
98  std::stringstream ss;
99  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << ")";
100  fn("Stride(X,Y)", ss.str());
101  }
102 
103  {
104  std::stringstream ss;
105  ss << "(" << desc.m_DilationX << "," << desc.m_DilationY << ")";
106  fn("Dilation(X,Y)", ss.str());
107  }
108 
109  fn("BiasEnabled",(desc.m_BiasEnabled ? "true" : "false"));
110  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
111 }
112 
114  const Convolution3dDescriptor& desc)
115 {
116  {
117  std::stringstream ss;
118  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
119  << "," << desc.m_PadBottom << "," << desc.m_PadRight
120  << "," << desc.m_PadFront << "," << desc.m_PadBack << ")";
121  fn("Padding(T,L,B,R,F,B)",ss.str());
122  }
123 
124  {
125  std::stringstream ss;
126  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << "," << desc.m_StrideZ << ")";
127  fn("Stride(X,Y,Z)", ss.str());
128  }
129 
130  {
131  std::stringstream ss;
132  ss << "(" << desc.m_DilationX << "," << desc.m_DilationY << "," << desc.m_DilationZ << ")";
133  fn("Dilation(X,Y,Z)", ss.str());
134  }
135 
136  fn("BiasEnabled",(desc.m_BiasEnabled ? "true" : "false"));
137  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
138 }
139 
141  const DetectionPostProcessDescriptor& desc)
142 {
143  fn("MaxDetections", std::to_string(desc.m_MaxDetections));
144  fn("MaxClassesPerDetection", std::to_string(desc.m_MaxClassesPerDetection));
145  fn("DetectionsPerClass", std::to_string(desc.m_DetectionsPerClass));
146  fn("NmsScoreThreshold", std::to_string(desc.m_NmsScoreThreshold));
147  fn("NmsIouThreshold", std::to_string(desc.m_NmsIouThreshold));
148  fn("NumClasses", std::to_string(desc.m_NumClasses));
149  fn("UseRegularNms", (desc.m_UseRegularNms ? "true" : "false"));
150  {
151  std::stringstream ss;
152  ss << "(" << desc.m_ScaleX << "," << desc.m_ScaleY << ")";
153  fn("Scale(X,Y)", ss.str());
154  }
155 
156  {
157  std::stringstream ss;
158  ss << "(" << desc.m_ScaleW << "," << desc.m_ScaleH << ")";
159  fn("Scale(W,H)", ss.str());
160  }
161 }
162 
166 {
167  {
168  std::stringstream ss;
169  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
170  << "," << desc.m_PadBottom << "," << desc.m_PadRight << ")";
171  fn("Padding(T,L,B,R)",ss.str());
172  }
173 
174  {
175  std::stringstream ss;
176  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << ")";
177  fn("Stride(X,Y)", ss.str());
178  }
179 
180  {
181  std::stringstream ss;
182  ss << "(" << desc.m_DilationX << "," << desc.m_DilationY << ")";
183  fn("Dilation(X,Y)", ss.str());
184  }
185 
186  fn("BiasEnabled",(desc.m_BiasEnabled ? "true" : "false"));
187  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
188 }
189 
191  const ElementwiseBinaryDescriptor& desc)
192 {
193  fn("BinaryOperation", GetBinaryOperationAsCString(desc.m_Operation));
194 }
195 
197  const ElementwiseUnaryDescriptor& desc)
198 {
199  fn("UnaryOperation", GetUnaryOperationAsCString(desc.m_Operation));
200 }
201 
203  const FakeQuantizationDescriptor& desc)
204 {
205  fn("Min", std::to_string(desc.m_Min));
206  fn("Max", std::to_string(desc.m_Max));
207 }
208 
210  const FullyConnectedDescriptor& desc)
211 {
212  fn("BiasEnabled", (desc.m_BiasEnabled ? "true" : "false"));
213  fn("TransposeWeightMatrix", (desc.m_TransposeWeightMatrix ? "true" : "false"));
214  fn("ConstantWeights", (desc.m_ConstantWeights ? "true" : "false"));
215 }
216 
218  const GatherDescriptor& desc)
219 {
220  fn("Axis", std::to_string(desc.m_Axis));
221 }
222 
224  const L2NormalizationDescriptor& desc)
225 {
226  fn("Eps", std::to_string(desc.m_Eps));
227  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
228 }
229 
231 {
232  fn("ActivationFunc", std::to_string(desc.m_ActivationFunc));
233  fn("ClippingThresCell", std::to_string(desc.m_ClippingThresCell));
234  fn("ClippingThresProj", std::to_string(desc.m_ClippingThresProj));
235  fn("CifgEnabled", (desc.m_CifgEnabled ? "true" : "false")) ;
236  fn("PeepholeEnabled", (desc.m_PeepholeEnabled ? "true" : "false")) ;
237  fn("ProjectionEnabled", (desc.m_ProjectionEnabled ? "true" : "false")) ;
238  fn("LayerNormEnabled", (desc.m_LayerNormEnabled ? "true" : "false"));
239 }
240 
242 {
243  {
244  std::stringstream ss;
245  int count = 0;
246  for (auto&& var : desc.m_Axis)
247  {
248  if (count > 0)
249  {
250  ss << ",";
251  }
252  ss << var;
253  ++count;
254  }
255  fn("Axis", ss.str());
256  }
257  fn("KeepDims", (desc.m_KeepDims ? "true" : "false"));
258 }
259 
261  const NormalizationDescriptor& desc)
262 {
265  fn("NormSize", std::to_string(desc.m_NormSize));
266  fn("Alpha", std::to_string(desc.m_Alpha));
267  fn("Beta", std::to_string(desc.m_Beta));
268  fn("K", std::to_string(desc.m_K));
269  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
270 }
271 
273  const OriginsDescriptor& desc)
274 {
275  fn("ConcatAxis", std::to_string(desc.GetConcatAxis()));
276 
277  uint32_t numViews = desc.GetNumViews();
278  uint32_t numDims = desc.GetNumDimensions();
279 
280  for (uint32_t view = 0; view < numViews; ++view)
281  {
282  std::stringstream key;
283  key << "MergeTo#" << view;
284  std::stringstream value;
285  value << "[";
286  auto viewData = desc.GetViewOrigin(view);
287 
288  for (uint32_t dim = 0; dim < numDims; ++dim)
289  {
290  if (dim > 0)
291  {
292  value << ",";
293  }
294  value << viewData[dim];
295  }
296  value << "]";
297  fn(key.str(), value.str());
298  }
299 }
300 
302 {
303  {
304  std::stringstream ss;
305  int count = 0;
306  for (auto&& var : desc.m_PadList)
307  {
308  if (count > 0)
309  {
310  ss << ",";
311  }
312  ss << "[" << var.first << "," << var.second << "]";
313  ++count;
314  }
315  fn("PadList", ss.str());
316  }
317  fn("PadValue", std::to_string(desc.m_PadValue));
318  fn("PaddingMode", GetPaddingModeAsCString(desc.m_PaddingMode));
319 }
320 
322  const PreCompiledDescriptor& desc)
323 {
324  fn("NumInputSlots", std::to_string(desc.m_NumInputSlots));
325  fn("NumOutputSlots", std::to_string(desc.m_NumOutputSlots));
326 }
327 
329  const FusedDescriptor& desc)
330 {
331  fn("NumInputSlots", std::to_string(desc.m_NumInputSlots));
332  fn("NumOutputSlots", std::to_string(desc.m_NumOutputSlots));
333  fn("PaddingMode", GetFusedTypeAsCString(desc.m_FusedKernelType));
334 
335 }
336 
338  const Pooling2dDescriptor& desc)
339 {
340  fn("Type", GetPoolingAlgorithmAsCString(desc.m_PoolType));
341  {
342  std::stringstream ss;
343  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
344  << "," << desc.m_PadBottom << "," << desc.m_PadRight << ")";
345  fn("Padding(T,L,B,R)", ss.str());
346  }
347 
348  {
349  std::stringstream ss;
350  ss << "(" << desc.m_PoolWidth << "," << desc.m_PoolHeight << ")";
351  fn("(Width,Height)", ss.str());
352  }
353 
354  {
355  std::stringstream ss;
356  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << ")";
357  fn("Stride(X,Y)", ss.str());
358  }
359 
360  fn("OutputShapeRounding", GetOutputShapeRoundingAsCString(desc.m_OutputShapeRounding));
361  fn("PaddingMethod", GetPaddingMethodAsCString(desc.m_PaddingMethod));
362  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
363 }
364 
366  const Pooling3dDescriptor& desc)
367 {
368  fn("Type", GetPoolingAlgorithmAsCString(desc.m_PoolType));
369  {
370  std::stringstream ss;
371  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
372  << "," << desc.m_PadBottom << "," << desc.m_PadRight
373  << "," << desc.m_PadFront << "," << desc.m_PadBack << ")";
374  fn("Padding(T,L,B,R,F,B)", ss.str());
375  }
376 
377  {
378  std::stringstream ss;
379  ss << "(" << desc.m_PoolWidth << "," << desc.m_PoolHeight << "," << desc.m_PoolDepth << ")";
380  fn("(Width,Height,Depth)", ss.str());
381  }
382 
383  {
384  std::stringstream ss;
385  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << "," << desc.m_StrideZ << ")";
386  fn("Stride(X,Y,Z)", ss.str());
387  }
388 
389  fn("OutputShapeRounding", GetOutputShapeRoundingAsCString(desc.m_OutputShapeRounding));
390  fn("PaddingMethod", GetPaddingMethodAsCString(desc.m_PaddingMethod));
391  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
392 }
393 
395  const PermuteDescriptor& desc)
396 {
397  std::stringstream ss;
398  ss << "[";
399  bool addComma = false;
400  for (auto it : desc.m_DimMappings)
401  {
402  if (addComma)
403  {
404  ss << ",";
405  }
406  ss << it;
407  addComma = true;
408  }
409  ss << "]";
410 
411  fn("DimMappings",ss.str());
412 }
413 
415 {
416  {
417  std::stringstream ss;
418  int count = 0;
419  for (auto&& var : desc.m_vAxis)
420  {
421  if (count > 0)
422  {
423  ss << ",";
424  }
425  ss << var;
426  ++count;
427  }
428  fn("Axis", ss.str());
429  }
430  fn("KeepDims", (desc.m_KeepDims ? "true" : "false"));
431  fn("ReduceOperation", GetReduceOperationAsCString(desc.m_ReduceOperation));
432 }
433 
435  const ReshapeDescriptor& desc)
436 {
437  std::stringstream ss;
438  ss << desc.m_TargetShape;
439  fn("TargetShape",ss.str());
440 }
441 
443  const ResizeDescriptor& desc)
444 {
445  fn("TargetWidth", std::to_string(desc.m_TargetWidth));
446  fn("TargetHeight", std::to_string(desc.m_TargetHeight));
447  fn("ResizeMethod", GetResizeMethodAsCString(desc.m_Method));
448  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
449  fn("AlignCorners", std::to_string(desc.m_AlignCorners));
450  fn("HalfPixelCenters", std::to_string(desc.m_HalfPixelCenters));
451 }
452 
454  const SoftmaxDescriptor& desc)
455 {
456  fn("Beta", std::to_string(desc.m_Beta));
457  fn("Axis", std::to_string(desc.m_Axis));
458 }
459 
461  const SpaceToBatchNdDescriptor& desc)
462 {
463  {
464  std::stringstream ss;
465  int count = 0;
466  for (auto&& var : desc.m_BlockShape)
467  {
468  if (count > 0)
469  {
470  ss << ",";
471  }
472  ss << var;
473  ++count;
474  }
475  fn("BlockShape", ss.str());
476  }
477 
478  {
479  std::stringstream ss;
480  int count = 0;
481  for (auto&& var : desc.m_PadList)
482  {
483  if (count > 0)
484  {
485  ss << ",";
486  }
487  ss << "[" << var.first << "," << var.second << "]";
488  ++count;
489  }
490  fn("PadList", ss.str());
491  }
492 
493  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
494 }
495 
497  const SpaceToDepthDescriptor& desc)
498 {
499  fn("BlockSize", std::to_string(desc.m_BlockSize));
500  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
501 }
502 
504 {
505  fn("Axis", std::to_string(desc.m_Axis));
506  fn("NumInputs", std::to_string(desc.m_NumInputs));
507  {
508  std::stringstream ss;
509  ss << desc.m_InputShape;
510  fn("InputShape",ss.str());
511  }
512 }
513 
515  const StridedSliceDescriptor& desc)
516 {
517  {
518  std::stringstream ss;
519  int count = 0;
520  for (auto&& var : desc.m_Begin)
521  {
522  if (count > 0)
523  {
524  ss << ",";
525  }
526  ss << var;
527  ++count;
528  }
529  fn("Begin", ss.str());
530  }
531 
532  {
533  std::stringstream ss;
534  int count = 0;
535  for (auto&& var : desc.m_End)
536  {
537  if (count > 0)
538  {
539  ss << ",";
540  }
541  ss << var;
542  ++count;
543  }
544  fn("End", ss.str());
545  }
546 
547  {
548  std::stringstream ss;
549  int count = 0;
550  for (auto&& var : desc.m_Stride)
551  {
552  if (count > 0)
553  {
554  ss << ",";
555  }
556  ss << var;
557  ++count;
558  }
559  fn("Stride", ss.str());
560  }
561 
562  fn("BeginMask", std::to_string(desc.m_BeginMask));
563  fn("EndMask", std::to_string(desc.m_EndMask));
564  fn("ShrinkAxisMask", std::to_string(desc.m_ShrinkAxisMask));
565  fn("EllipsisMask", std::to_string(desc.m_EllipsisMask));
566  fn("NewAxisMask", std::to_string(desc.m_NewAxisMask));
567  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
568 }
569 
571  const TileDescriptor& desc)
572 {
573  std::stringstream ss;
574  int count = 0;
575  for (auto&& var : desc.m_Multiples)
576  {
577  if (count > 0)
578  {
579  ss << ",";
580  }
581  ss << var;
582  ++count;
583  }
584  fn("Multiples", ss.str());
585 }
586 
590 {
591  {
592  std::stringstream ss;
593  ss << "(" << desc.m_PadTop << "," << desc.m_PadLeft
594  << "," << desc.m_PadBottom << "," << desc.m_PadRight << ")";
595  fn("Padding(T,L,B,R)",ss.str());
596  }
597 
598  {
599  std::stringstream ss;
600  ss << "(" << desc.m_StrideX << "," << desc.m_StrideY << ")";
601  fn("Stride(X,Y)", ss.str());
602  }
603 
604  fn("BiasEnabled", (desc.m_BiasEnabled ? "true" : "false"));
605  fn("DataLayout", GetDataLayoutName(desc.m_DataLayout));
606 }
607 
609  const TransposeDescriptor& desc)
610 {
611  std::stringstream ss;
612  ss << "[";
613  bool addComma = false;
614  for (auto it : desc.m_DimMappings)
615  {
616  if (addComma)
617  {
618  ss << ",";
619  }
620  ss << it;
621  addComma = true;
622  }
623  ss << "]";
624 
625  fn("DimMappings",ss.str());
626 }
627 
629 {
630  uint32_t numViews = desc.GetNumViews();
631  uint32_t numDims = desc.GetNumDimensions();
632  for (uint32_t view = 0; view < numViews; ++view) {
633  std::stringstream key;
634  key << "ViewSizes#" << view;
635  std::stringstream value;
636  value << "[";
637  auto viewData = desc.GetViewSizes(view);
638  for (uint32_t dim = 0; dim < numDims; ++dim)
639  {
640  if (dim > 0)
641  {
642  value << ",";
643  }
644  value << viewData[dim];
645  }
646  value << "]";
647  fn(key.str(), value.str());
648  if (desc.HasAxis())
649  {
650  fn("Axis", std::to_string(desc.GetAxis()));
651  }
652  }
654 }
655 
656 } // namespace armnn
armnn::BatchNormalizationDescriptor
A BatchNormalizationDescriptor for the BatchNormalizationLayer.
Definition: Descriptors.hpp:828
armnn::Convolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:570
armnn::GetBinaryOperationAsCString
constexpr char const * GetBinaryOperationAsCString(BinaryOperation operation)
Definition: TypesUtils.hpp:76
armnn::ChannelShuffleDescriptor::m_Axis
uint32_t m_Axis
Axis to apply channel shuffle operation on.
Definition: Descriptors.hpp:1580
armnn::OriginsDescriptor::GetConcatAxis
unsigned int GetConcatAxis() const
Get the concatenation axis value.
Definition: Descriptors.cpp:162
armnn::FullyConnectedDescriptor::m_ConstantWeights
bool m_ConstantWeights
Enable/disable constant weights and biases.
Definition: Descriptors.hpp:530
armnn::Pooling2dDescriptor::m_PaddingMethod
PaddingMethod m_PaddingMethod
The padding method to be used. (Exclude, IgnoreValue).
Definition: Descriptors.hpp:425
armnn::ViewsDescriptor
A ViewsDescriptor for the SplitterLayer.
Definition: Descriptors.hpp:244
armnn::DetectionPostProcessDescriptor::m_NmsScoreThreshold
float m_NmsScoreThreshold
NMS score threshold.
Definition: Descriptors.hpp:751
armnn::ActivationDescriptor
An ActivationDescriptor for the ActivationLayer.
Definition: Descriptors.hpp:36
armnn::TransposeConvolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:1469
armnn::BatchMatMulDescriptor::m_TransposeX
bool m_TransposeX
Transpose the slices of each input tensor Transpose and Adjoint can not both be set to true for the s...
Definition: Descriptors.hpp:1612
armnn::OriginsDescriptor::GetNumViews
uint32_t GetNumViews() const
Get the number of views.
Definition: Descriptors.cpp:187
armnn::FullyConnectedDescriptor
A FullyConnectedDescriptor for the FullyConnectedLayer.
Definition: Descriptors.hpp:507
armnn::DetectionPostProcessDescriptor::m_ScaleX
float m_ScaleX
Center size encoding scale x.
Definition: Descriptors.hpp:759
SerializeLayerParameters.hpp
armnn::TransposeConvolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:1477
armnn::FusedDescriptor::m_FusedKernelType
FusedKernelType m_FusedKernelType
Definition: Descriptors.hpp:961
armnn::GetResizeMethodAsCString
constexpr const char * GetResizeMethodAsCString(ResizeMethod method)
Definition: TypesUtils.hpp:285
armnn::Pooling3dDescriptor::m_OutputShapeRounding
OutputShapeRounding m_OutputShapeRounding
The rounding method for the output shape. (Floor, Ceiling).
Definition: Descriptors.hpp:499
armnn::ResizeDescriptor::m_HalfPixelCenters
bool m_HalfPixelCenters
Half Pixel Centers.
Definition: Descriptors.hpp:1018
armnn::BatchNormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:843
armnn::Pooling3dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:479
armnn::SpaceToBatchNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1071
armnn::FullyConnectedDescriptor::m_TransposeWeightMatrix
bool m_TransposeWeightMatrix
Enable/disable transpose weight matrix.
Definition: Descriptors.hpp:528
armnn::ResizeDescriptor::m_TargetHeight
uint32_t m_TargetHeight
Target height value.
Definition: Descriptors.hpp:1009
armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:708
armnn::Pooling2dDescriptor::m_PoolHeight
uint32_t m_PoolHeight
Pooling height value.
Definition: Descriptors.hpp:417
armnn::StridedSliceDescriptor::m_Begin
std::vector< int > m_Begin
Begin values for the input that will be sliced.
Definition: Descriptors.hpp:1342
armnn::DetectionPostProcessDescriptor::m_ScaleY
float m_ScaleY
Center size encoding scale y.
Definition: Descriptors.hpp:761
armnn::Pooling3dDescriptor
A Pooling3dDescriptor for the Pooling3dLayer.
Definition: Descriptors.hpp:431
armnn::BatchMatMulDescriptor::m_AdjointX
bool m_AdjointX
Adjoint the slices of each input tensor Transpose and Adjoint can not both be set to true for the sam...
Definition: Descriptors.hpp:1617
armnn::DetectionPostProcessDescriptor::m_MaxDetections
uint32_t m_MaxDetections
Maximum numbers of detections.
Definition: Descriptors.hpp:745
armnn::Convolution3dDescriptor::m_PadFront
uint32_t m_PadFront
Padding front value in the depth dimension.
Definition: Descriptors.hpp:637
armnn::ResizeDescriptor
A ResizeDescriptor for the ResizeLayer.
Definition: Descriptors.hpp:985
armnn::ActivationDescriptor::m_A
float m_A
Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH,...
Definition: Descriptors.hpp:61
armnn::StridedSliceDescriptor::m_EllipsisMask
int32_t m_EllipsisMask
Ellipsis mask value.
Definition: Descriptors.hpp:1357
armnn::ViewsDescriptor::HasAxis
bool HasAxis() const
Returns true if an axis has been set.
Definition: Descriptors.cpp:388
armnn::SoftmaxDescriptor::m_Beta
float m_Beta
Exponentiation value.
Definition: Descriptors.hpp:190
armnn::GatherDescriptor
A GatherDescriptor for the GatherLayer.
Definition: Descriptors.hpp:965
TypesUtils.hpp
armnn::DepthwiseConvolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:710
armnn::L2NormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:824
armnn::L2NormalizationDescriptor
A L2NormalizationDescriptor for the L2NormalizationLayer.
Definition: Descriptors.hpp:809
armnn::NormalizationDescriptor::m_Beta
float m_Beta
Beta value for the normalization equation.
Definition: Descriptors.hpp:801
armnn::OriginsDescriptor::GetNumDimensions
uint32_t GetNumDimensions() const
Get the number of dimensions.
Definition: Descriptors.cpp:192
armnn::FakeQuantizationDescriptor::m_Max
float m_Max
Maximum value.
Definition: Descriptors.hpp:921
armnn::NormalizationDescriptor
A NormalizationDescriptor for the NormalizationLayer.
Definition: Descriptors.hpp:769
armnn::Pooling2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:421
armnn::BatchToSpaceNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape values.
Definition: Descriptors.hpp:898
armnn::ChannelShuffleDescriptor
A ChannelShuffleDescriptor for the ChannelShuffle operator.
Definition: Descriptors.hpp:1562
armnn::GetDataLayoutName
constexpr const char * GetDataLayoutName(DataLayout dataLayout)
Definition: TypesUtils.hpp:253
armnn::ResizeDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1014
armnn::DepthwiseConvolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:692
armnn::Convolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:576
armnn::Pooling2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:411
armnn::Convolution3dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:633
armnn::SpaceToBatchNdDescriptor::m_BlockShape
std::vector< unsigned int > m_BlockShape
Block shape value.
Definition: Descriptors.hpp:1066
armnn::StridedSliceDescriptor::m_BeginMask
int32_t m_BeginMask
Begin mask value.
Definition: Descriptors.hpp:1350
armnn::BatchMatMulDescriptor::m_AdjointY
bool m_AdjointY
Definition: Descriptors.hpp:1618
armnn::Convolution3dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:647
armnn::Convolution3dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:635
armnn::DetectionPostProcessDescriptor::m_ScaleW
float m_ScaleW
Center size encoding scale weight.
Definition: Descriptors.hpp:763
armnn::StackDescriptor
A StackDescriptor for the StackLayer.
Definition: Descriptors.hpp:1251
armnn::Pooling3dDescriptor::m_StrideZ
uint32_t m_StrideZ
Stride value when proceeding through input for the depth dimension.
Definition: Descriptors.hpp:497
armnn::NormalizationDescriptor::m_NormSize
uint32_t m_NormSize
Depth radius value.
Definition: Descriptors.hpp:797
armnn::Pooling2dDescriptor::m_PoolWidth
uint32_t m_PoolWidth
Pooling width value.
Definition: Descriptors.hpp:415
armnn::Pooling3dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCDHW, NDHWC).
Definition: Descriptors.hpp:503
armnn::GetActivationFunctionAsCString
constexpr char const * GetActivationFunctionAsCString(ActivationFunction activation)
Definition: TypesUtils.hpp:31
armnn::Convolution2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:566
armnn::BatchToSpaceNdDescriptor::m_Crops
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
Definition: Descriptors.hpp:900
armnn::DepthwiseConvolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:702
armnn::Convolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:580
armnn::Pooling3dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:481
armnn::DetectionPostProcessDescriptor::m_MaxClassesPerDetection
uint32_t m_MaxClassesPerDetection
Maximum numbers of classes per detection, used in Fast NMS.
Definition: Descriptors.hpp:747
armnn::NormalizationDescriptor::m_NormMethodType
NormalizationAlgorithmMethod m_NormMethodType
Normalization method algorithm to use (LocalBrightness, LocalContrast).
Definition: Descriptors.hpp:795
armnn::TransposeConvolution2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:1475
armnn::Pooling3dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:495
armnn::ReduceDescriptor::m_ReduceOperation
ReduceOperation m_ReduceOperation
Specifies the reduction operation to execute.
Definition: Descriptors.hpp:1558
armnn::PreCompiledDescriptor::m_NumInputSlots
unsigned int m_NumInputSlots
Definition: Descriptors.hpp:1375
armnn::MeanDescriptor::m_KeepDims
bool m_KeepDims
Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept.
Definition: Descriptors.hpp:1192
armnn::GetPaddingMethodAsCString
constexpr char const * GetPaddingMethodAsCString(PaddingMethod method)
Definition: TypesUtils.hpp:149
armnn::GetFusedTypeAsCString
constexpr char const * GetFusedTypeAsCString(FusedKernelType type)
Definition: TypesUtils.hpp:119
armnn::ElementwiseBinaryDescriptor
A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.
Definition: Descriptors.hpp:109
armnn::ViewsDescriptor::GetViewSizes
const uint32_t * GetViewSizes(uint32_t idx) const
Get the view sizes at the int value idx.
Definition: Descriptors.cpp:347
armnn::Pooling3dDescriptor::m_PoolType
PoolingAlgorithm m_PoolType
The pooling algorithm to use (Max. Average, L2).
Definition: Descriptors.hpp:473
armnn::ResizeDescriptor::m_Method
ResizeMethod m_Method
The Interpolation method to use (Bilinear, NearestNeighbor).
Definition: Descriptors.hpp:1012
armnn::SpaceToBatchNdDescriptor::m_PadList
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left,...
Definition: Descriptors.hpp:1069
armnn::LstmDescriptor::m_PeepholeEnabled
bool m_PeepholeEnabled
Enable/disable peephole.
Definition: Descriptors.hpp:1148
armnn::Convolution3dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:631
armnn::NormalizationDescriptor::m_NormChannelType
NormalizationAlgorithmChannel m_NormChannelType
Normalization channel algorithm to use (Across, Within).
Definition: Descriptors.hpp:793
armnn::FusedDescriptor
A FusedDescriptor for the FusedLayer.
Definition: Descriptors.hpp:944
armnn::StackDescriptor::m_NumInputs
uint32_t m_NumInputs
Number of input tensors.
Definition: Descriptors.hpp:1275
armnn::LstmDescriptor::m_ClippingThresProj
float m_ClippingThresProj
Clipping threshold value for the projection.
Definition: Descriptors.hpp:1144
armnn::Pooling3dDescriptor::m_PoolWidth
uint32_t m_PoolWidth
Pooling width value.
Definition: Descriptors.hpp:487
armnn::StridedSliceDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1363
armnn::Pooling2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:427
armnn::DepthwiseConvolution2dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation factor value for height dimension.
Definition: Descriptors.hpp:706
armnn::Pooling2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:413
armnn::ViewsDescriptor::GetAxis
int32_t GetAxis() const
Get the axis value.
Definition: Descriptors.cpp:382
armnn::Pooling3dDescriptor::m_PaddingMethod
PaddingMethod m_PaddingMethod
The padding method to be used. (Exclude, IgnoreValue).
Definition: Descriptors.hpp:501
armnn::Pooling2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:409
armnn::FullyConnectedDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:526
armnn::PadDescriptor
A PadDescriptor for the PadLayer.
Definition: Descriptors.hpp:1196
armnn::GetPoolingAlgorithmAsCString
constexpr char const * GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
Definition: TypesUtils.hpp:128
armnn::TransposeDescriptor
A TransposeDescriptor for the TransposeLayer.
Definition: Descriptors.hpp:1490
armnn::Convolution3dDescriptor::m_DilationZ
uint32_t m_DilationZ
Dilation along z axis.
Definition: Descriptors.hpp:651
armnn::BatchMatMulDescriptor::m_TransposeY
bool m_TransposeY
Definition: Descriptors.hpp:1613
armnn::ViewsDescriptor::GetOrigins
const OriginsDescriptor & GetOrigins() const
Get the View Origins.
Definition: Descriptors.cpp:352
armnn::DetectionPostProcessDescriptor::m_NumClasses
uint32_t m_NumClasses
Number of classes.
Definition: Descriptors.hpp:755
armnn::StackDescriptor::m_Axis
uint32_t m_Axis
0-based axis along which to stack the input tensors.
Definition: Descriptors.hpp:1273
armnn::DetectionPostProcessDescriptor::m_NmsIouThreshold
float m_NmsIouThreshold
Intersection over union threshold.
Definition: Descriptors.hpp:753
armnn::Convolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:582
armnn::ReshapeDescriptor
A ReshapeDescriptor for the ReshapeLayer.
Definition: Descriptors.hpp:1023
armnn::PadDescriptor::m_PadValue
float m_PadValue
Optional value to use for padding, defaults to 0.
Definition: Descriptors.hpp:1221
armnn::DepthwiseConvolution2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:694
armnn::Convolution3dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:629
armnn::ActivationDescriptor::m_Function
ActivationFunction m_Function
The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu,...
Definition: Descriptors.hpp:59
armnn::ParameterStringifyFunction
std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction
Definition: SerializeLayerParameters.hpp:14
armnn::NormalizationDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:805
armnn::PermuteDescriptor
A PermuteDescriptor for the PermuteLayer.
Definition: Descriptors.hpp:149
armnn::BatchMatMulDescriptor
A BatchMatMulDescriptor for the BatchMatMul operator.
Definition: Descriptors.hpp:1584
armnn::Convolution3dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:643
armnn::Convolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:584
armnn::FusedDescriptor::m_NumInputSlots
unsigned int m_NumInputSlots
Definition: Descriptors.hpp:959
armnn::GatherDescriptor::m_Axis
int32_t m_Axis
The axis in params to gather indices from.
Definition: Descriptors.hpp:981
armnn::Convolution3dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:641
armnn::SpaceToBatchNdDescriptor
A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.
Definition: Descriptors.hpp:1043
armnn::StringifyLayerParameters::Serialize
static void Serialize(ParameterStringifyFunction &, const LayerParameter &)
Definition: SerializeLayerParameters.hpp:25
armnn::Convolution2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:572
armnn::Convolution3dDescriptor
A Convolution3dDescriptor for the Convolution3dLayer.
Definition: Descriptors.hpp:588
armnn::ReshapeDescriptor::m_TargetShape
TensorShape m_TargetShape
Target shape value.
Definition: Descriptors.hpp:1039
armnn::TransposeConvolution2dDescriptor::m_StrideY
uint32_t m_StrideY
Stride value when proceeding through input for the height dimension.
Definition: Descriptors.hpp:1479
armnn::GetNormalizationAlgorithmChannelAsCString
constexpr const char * GetNormalizationAlgorithmChannelAsCString(NormalizationAlgorithmChannel channel)
Definition: TypesUtils.hpp:265
armnn::StridedSliceDescriptor::m_EndMask
int32_t m_EndMask
End mask value.
Definition: Descriptors.hpp:1353
armnn::Pooling2dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:407
armnn::PermuteDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
Definition: Descriptors.hpp:173
armnn::Pooling3dDescriptor::m_PadFront
uint32_t m_PadFront
Padding front value in the depth dimension.
Definition: Descriptors.hpp:483
armnn::StackDescriptor::m_InputShape
TensorShape m_InputShape
Required shape of all input tensors.
Definition: Descriptors.hpp:1277
armnn::Convolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:574
armnn::Convolution2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:568
armnn::DetectionPostProcessDescriptor::m_DetectionsPerClass
uint32_t m_DetectionsPerClass
Detections per classes, used in Regular NMS.
Definition: Descriptors.hpp:749
armnn::DetectionPostProcessDescriptor::m_ScaleH
float m_ScaleH
Center size encoding scale height.
Definition: Descriptors.hpp:765
armnn::ReduceDescriptor::m_KeepDims
bool m_KeepDims
if true then output shape has no change.
Definition: Descriptors.hpp:1554
armnn::BatchToSpaceNdDescriptor
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
Definition: Descriptors.hpp:875
armnn::Convolution2dDescriptor
A Convolution2dDescriptor for the Convolution2dLayer.
Definition: Descriptors.hpp:534
armnn::PreCompiledDescriptor::m_NumOutputSlots
unsigned int m_NumOutputSlots
Definition: Descriptors.hpp:1376
armnn::DepthwiseConvolution2dDescriptor::m_PadBottom
uint32_t m_PadBottom
Padding bottom value in the height dimension.
Definition: Descriptors.hpp:698
armnn::ComparisonDescriptor
A ComparisonDescriptor for the ComparisonLayer.
Definition: Descriptors.hpp:89
armnn::ComparisonDescriptor::m_Operation
ComparisonOperation m_Operation
Specifies the comparison operation to execute.
Definition: Descriptors.hpp:105
armnn::Pooling3dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:477
armnn::ElementwiseUnaryDescriptor::m_Operation
UnaryOperation m_Operation
Specifies the elementwiseUnary operation to execute.
Definition: Descriptors.hpp:145
armnn::StridedSliceDescriptor::m_ShrinkAxisMask
int32_t m_ShrinkAxisMask
Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.
Definition: Descriptors.hpp:1355
armnn::GetOutputShapeRoundingAsCString
constexpr char const * GetOutputShapeRoundingAsCString(OutputShapeRounding rounding)
Definition: TypesUtils.hpp:139
armnn::Pooling2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:419
armnn::SpaceToDepthDescriptor::m_BlockSize
unsigned int m_BlockSize
Scalar specifying the input block size. It must be >= 1.
Definition: Descriptors.hpp:1092
armnn::ResizeDescriptor::m_TargetWidth
uint32_t m_TargetWidth
Target width value.
Definition: Descriptors.hpp:1007
armnn::GetPaddingModeAsCString
constexpr char const * GetPaddingModeAsCString(PaddingMode mode)
Definition: TypesUtils.hpp:159
armnn::Pooling3dDescriptor::m_PoolHeight
uint32_t m_PoolHeight
Pooling height value.
Definition: Descriptors.hpp:489
armnn::StridedSliceDescriptor::m_Stride
std::vector< int > m_Stride
Stride values for the input that will be sliced.
Definition: Descriptors.hpp:1346
armnn::LstmDescriptor
An LstmDescriptor for the LstmLayer.
Definition: Descriptors.hpp:1102
armnn::StridedSliceDescriptor
A StridedSliceDescriptor for the StridedSliceLayer.
Definition: Descriptors.hpp:1303
armnn::TransposeDescriptor::m_DimMappings
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
Definition: Descriptors.hpp:1514
armnn::Pooling3dDescriptor::m_PadBack
uint32_t m_PadBack
Padding back value in the depth dimension.
Definition: Descriptors.hpp:485
armnn::ResizeDescriptor::m_AlignCorners
bool m_AlignCorners
Aligned corners.
Definition: Descriptors.hpp:1016
armnn::TileDescriptor::m_Multiples
std::vector< uint32_t > m_Multiples
The vector to multiply the input shape by.
Definition: Descriptors.hpp:1656
armnn::GetNormalizationAlgorithmMethodAsCString
constexpr const char * GetNormalizationAlgorithmMethodAsCString(NormalizationAlgorithmMethod method)
Definition: TypesUtils.hpp:275
armnn::MeanDescriptor::m_Axis
std::vector< unsigned int > m_Axis
Values for the dimensions to reduce.
Definition: Descriptors.hpp:1190
armnn::LstmDescriptor::m_CifgEnabled
bool m_CifgEnabled
Enable/disable cifg (coupled input & forget gate).
Definition: Descriptors.hpp:1146
armnn::NormalizationDescriptor::m_Alpha
float m_Alpha
Alpha value for the normalization equation.
Definition: Descriptors.hpp:799
armnn::Pooling3dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:493
armnn::GetUnaryOperationAsCString
constexpr char const * GetUnaryOperationAsCString(UnaryOperation operation)
Definition: TypesUtils.hpp:92
armnn::GetReduceOperationAsCString
constexpr char const * GetReduceOperationAsCString(ReduceOperation reduce_operation)
Definition: TypesUtils.hpp:170
armnn::Pooling3dDescriptor::m_PadLeft
uint32_t m_PadLeft
Padding left value in the width dimension.
Definition: Descriptors.hpp:475
armnn::Convolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation along x axis.
Definition: Descriptors.hpp:578
armnn::SoftmaxDescriptor::m_Axis
int m_Axis
Scalar, defaulted to the last index (-1), specifying the dimension the activation will be performed o...
Definition: Descriptors.hpp:192
armnn::Convolution3dDescriptor::m_PadBack
uint32_t m_PadBack
Padding back value in the depth dimension.
Definition: Descriptors.hpp:639
armnn::ReduceDescriptor::m_vAxis
std::vector< uint32_t > m_vAxis
The indices of the dimensions to reduce.
Definition: Descriptors.hpp:1556
armnn::PadDescriptor::m_PadList
std::vector< std::pair< unsigned int, unsigned int > > m_PadList
Specifies the padding for input dimension.
Definition: Descriptors.hpp:1218
armnn::LstmDescriptor::m_LayerNormEnabled
bool m_LayerNormEnabled
Enable/disable layer normalization.
Definition: Descriptors.hpp:1152
armnn::TransposeConvolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:1473
armnn::ViewsDescriptor::GetNumDimensions
uint32_t GetNumDimensions() const
Get the number of dimensions.
Definition: Descriptors.cpp:307
armnn::TransposeConvolution2dDescriptor::m_PadRight
uint32_t m_PadRight
Padding right value in the width dimension.
Definition: Descriptors.hpp:1471
armnn::FusedDescriptor::m_NumOutputSlots
unsigned int m_NumOutputSlots
Definition: Descriptors.hpp:960
armnn::ElementwiseBinaryDescriptor::m_Operation
BinaryOperation m_Operation
Specifies the elementwiseBinary operation to execute.
Definition: Descriptors.hpp:125
armnn::Convolution3dDescriptor::m_DilationY
uint32_t m_DilationY
Dilation along y axis.
Definition: Descriptors.hpp:649
armnn::OriginsDescriptor
An OriginsDescriptor for the ConcatLayer.
Definition: Descriptors.hpp:201
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
armnn::ElementwiseUnaryDescriptor
A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer.
Definition: Descriptors.hpp:129
armnn::TransposeConvolution2dDescriptor
A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.
Definition: Descriptors.hpp:1440
armnn::Convolution3dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:653
armnn::ActivationDescriptor::m_B
float m_B
Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).
Definition: Descriptors.hpp:63
armnn::Convolution3dDescriptor::m_StrideZ
uint32_t m_StrideZ
Stride value when proceeding through input for the depth dimension.
Definition: Descriptors.hpp:645
armnn::DetectionPostProcessDescriptor::m_UseRegularNms
bool m_UseRegularNms
Use Regular NMS.
Definition: Descriptors.hpp:757
armnn::ViewsDescriptor::GetNumViews
uint32_t GetNumViews() const
Get the number of views.
Definition: Descriptors.cpp:302
armnn::NormalizationDescriptor::m_K
float m_K
Kappa value used for the across channel normalization equation.
Definition: Descriptors.hpp:803
armnn::FakeQuantizationDescriptor::m_Min
float m_Min
Minimum value.
Definition: Descriptors.hpp:919
armnn::LstmDescriptor::m_ProjectionEnabled
bool m_ProjectionEnabled
Enable/disable the projection layer.
Definition: Descriptors.hpp:1150
armnn::StridedSliceDescriptor::m_End
std::vector< int > m_End
End values for the input that will be sliced.
Definition: Descriptors.hpp:1344
armnn::PadDescriptor::m_PaddingMode
PaddingMode m_PaddingMode
Specifies the Padding mode (Constant, Reflect or Symmetric)
Definition: Descriptors.hpp:1224
armnn::Pooling2dDescriptor::m_OutputShapeRounding
OutputShapeRounding m_OutputShapeRounding
The rounding method for the output shape. (Floor, Ceiling).
Definition: Descriptors.hpp:423
armnn::TransposeConvolution2dDescriptor::m_BiasEnabled
bool m_BiasEnabled
Enable/disable bias.
Definition: Descriptors.hpp:1481
armnn::DetectionPostProcessDescriptor
Definition: Descriptors.hpp:713
armnn::PreCompiledDescriptor
A PreCompiledDescriptor for the PreCompiledLayer.
Definition: Descriptors.hpp:1367
armnn::ChannelShuffleDescriptor::m_NumGroups
uint32_t m_NumGroups
Number of groups for the channel shuffle operation.
Definition: Descriptors.hpp:1578
armnn::Convolution3dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NDHWC, NCDHW).
Definition: Descriptors.hpp:655
armnn::L2NormalizationDescriptor::m_Eps
float m_Eps
Used to avoid dividing by zero.
Definition: Descriptors.hpp:822
armnn::OriginsDescriptor::GetViewOrigin
const uint32_t * GetViewOrigin(uint32_t idx) const
Return the view origin at the int value idx.
Definition: Descriptors.cpp:197
armnn::TransposeConvolution2dDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1483
armnn::Pooling2dDescriptor
A Pooling2dDescriptor for the Pooling2dLayer.
Definition: Descriptors.hpp:371
armnn::LstmDescriptor::m_ActivationFunc
uint32_t m_ActivationFunc
The activation function to use.
Definition: Descriptors.hpp:1140
armnn::BatchToSpaceNdDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:902
armnn::DepthwiseConvolution2dDescriptor
A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.
Definition: Descriptors.hpp:659
armnn::ReduceDescriptor
A ReduceDescriptor for the REDUCE operators.
Definition: Descriptors.hpp:1538
armnn::DepthwiseConvolution2dDescriptor::m_DilationX
uint32_t m_DilationX
Dilation factor value for width dimension.
Definition: Descriptors.hpp:704
armnn::BatchNormalizationDescriptor::m_Eps
float m_Eps
Value to add to the variance. Used to avoid dividing by zero.
Definition: Descriptors.hpp:841
armnn::FakeQuantizationDescriptor
A FakeQuantizationDescriptor for the FakeQuantizationLayer.
Definition: Descriptors.hpp:906
armnn::LstmDescriptor::m_ClippingThresCell
float m_ClippingThresCell
Clipping threshold value for the cell state.
Definition: Descriptors.hpp:1142
armnn::Pooling3dDescriptor::m_PoolDepth
uint32_t m_PoolDepth
Pooling depth value.
Definition: Descriptors.hpp:491
armnn::StridedSliceDescriptor::m_NewAxisMask
int32_t m_NewAxisMask
New axis mask value.
Definition: Descriptors.hpp:1360
armnn::GetComparisonOperationAsCString
constexpr char const * GetComparisonOperationAsCString(ComparisonOperation operation)
Definition: TypesUtils.hpp:62
armnn::MeanDescriptor
A MeanDescriptor for the MeanLayer.
Definition: Descriptors.hpp:1172
armnn::TileDescriptor
Definition: Descriptors.hpp:1640
armnn::SoftmaxDescriptor
A SoftmaxDescriptor for the SoftmaxLayer.
Definition: Descriptors.hpp:177
armnn::Pooling2dDescriptor::m_PoolType
PoolingAlgorithm m_PoolType
The pooling algorithm to use (Max. Average, L2).
Definition: Descriptors.hpp:405
armnn::SpaceToDepthDescriptor
A SpaceToDepthDescriptor for the SpaceToDepthLayer.
Definition: Descriptors.hpp:1075
armnn::SpaceToDepthDescriptor::m_DataLayout
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
Definition: Descriptors.hpp:1095
armnn::DepthwiseConvolution2dDescriptor::m_StrideX
uint32_t m_StrideX
Stride value when proceeding through input for the width dimension.
Definition: Descriptors.hpp:700
armnn::DepthwiseConvolution2dDescriptor::m_PadTop
uint32_t m_PadTop
Padding top value in the height dimension.
Definition: Descriptors.hpp:696