ArmNN
 23.02
TypesUtils.hpp
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1 //
2 // Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
7 #include <armnn/BackendId.hpp>
8 #include <armnn/Exceptions.hpp>
9 #include <armnn/Tensor.hpp>
10 #include <armnn/Types.hpp>
11 
12 #include <stdint.h>
13 #include <cmath>
14 #include <ostream>
15 #include <set>
16 #include <type_traits>
17 
18 namespace armnn
19 {
20 
21 constexpr char const* GetStatusAsCString(Status status)
22 {
23  switch (status)
24  {
25  case armnn::Status::Success: return "Status::Success";
26  case armnn::Status::Failure: return "Status::Failure";
27  default: return "Unknown";
28  }
29 }
30 
31 constexpr char const* GetActivationFunctionAsCString(ActivationFunction activation)
32 {
33  switch (activation)
34  {
35  case ActivationFunction::Sigmoid: return "Sigmoid";
36  case ActivationFunction::TanH: return "TanH";
37  case ActivationFunction::Linear: return "Linear";
38  case ActivationFunction::ReLu: return "ReLu";
39  case ActivationFunction::BoundedReLu: return "BoundedReLu";
40  case ActivationFunction::SoftReLu: return "SoftReLu";
41  case ActivationFunction::LeakyReLu: return "LeakyReLu";
42  case ActivationFunction::Abs: return "Abs";
43  case ActivationFunction::Sqrt: return "Sqrt";
44  case ActivationFunction::Square: return "Square";
45  case ActivationFunction::Elu: return "Elu";
46  case ActivationFunction::HardSwish: return "HardSwish";
47  default: return "Unknown";
48  }
49 }
50 
51 constexpr char const* GetArgMinMaxFunctionAsCString(ArgMinMaxFunction function)
52 {
53  switch (function)
54  {
55  case ArgMinMaxFunction::Max: return "Max";
56  case ArgMinMaxFunction::Min: return "Min";
57  default: return "Unknown";
58  }
59 }
60 
61 constexpr char const* GetComparisonOperationAsCString(ComparisonOperation operation)
62 {
63  switch (operation)
64  {
65  case ComparisonOperation::Equal: return "Equal";
66  case ComparisonOperation::Greater: return "Greater";
67  case ComparisonOperation::GreaterOrEqual: return "GreaterOrEqual";
68  case ComparisonOperation::Less: return "Less";
69  case ComparisonOperation::LessOrEqual: return "LessOrEqual";
70  case ComparisonOperation::NotEqual: return "NotEqual";
71  default: return "Unknown";
72  }
73 }
74 
75 constexpr char const* GetUnaryOperationAsCString(UnaryOperation operation)
76 {
77  switch (operation)
78  {
79  case UnaryOperation::Abs: return "Abs";
80  case UnaryOperation::Exp: return "Exp";
81  case UnaryOperation::Sqrt: return "Sqrt";
82  case UnaryOperation::Rsqrt: return "Rsqrt";
83  case UnaryOperation::Neg: return "Neg";
84  case UnaryOperation::Log: return "Log";
85  case UnaryOperation::LogicalNot: return "LogicalNot";
86  case UnaryOperation::Sin: return "Sin";
87  default: return "Unknown";
88  }
89 }
90 
92 {
93  switch (operation)
94  {
95  case LogicalBinaryOperation::LogicalAnd: return "LogicalAnd";
96  case LogicalBinaryOperation::LogicalOr: return "LogicalOr";
97  default: return "Unknown";
98  }
99 }
100 
101 constexpr char const* GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
102 {
103  switch (pooling)
104  {
105  case PoolingAlgorithm::Average: return "Average";
106  case PoolingAlgorithm::Max: return "Max";
107  case PoolingAlgorithm::L2: return "L2";
108  default: return "Unknown";
109  }
110 }
111 
113 {
114  switch (rounding)
115  {
116  case OutputShapeRounding::Ceiling: return "Ceiling";
117  case OutputShapeRounding::Floor: return "Floor";
118  default: return "Unknown";
119  }
120 }
121 
122 constexpr char const* GetPaddingMethodAsCString(PaddingMethod method)
123 {
124  switch (method)
125  {
126  case PaddingMethod::Exclude: return "Exclude";
127  case PaddingMethod::IgnoreValue: return "IgnoreValue";
128  default: return "Unknown";
129  }
130 }
131 
132 constexpr char const* GetPaddingModeAsCString(PaddingMode mode)
133 {
134  switch (mode)
135  {
136  case PaddingMode::Constant: return "Exclude";
137  case PaddingMode::Symmetric: return "Symmetric";
138  case PaddingMode::Reflect: return "Reflect";
139  default: return "Unknown";
140  }
141 }
142 
143 constexpr char const* GetReduceOperationAsCString(ReduceOperation reduce_operation)
144 {
145  switch (reduce_operation)
146  {
147  case ReduceOperation::Sum: return "Sum";
148  case ReduceOperation::Max: return "Max";
149  case ReduceOperation::Mean: return "Mean";
150  case ReduceOperation::Min: return "Min";
151  case ReduceOperation::Prod: return "Prod";
152  default: return "Unknown";
153  }
154 }
155 constexpr unsigned int GetDataTypeSize(DataType dataType)
156 {
157  switch (dataType)
158  {
159  case DataType::BFloat16:
160  case DataType::Float16: return 2U;
161  case DataType::Float32:
162  case DataType::Signed32: return 4U;
163  case DataType::Signed64: return 8U;
164  case DataType::QAsymmU8: return 1U;
165  case DataType::QAsymmS8: return 1U;
166  case DataType::QSymmS8: return 1U;
167  case DataType::QSymmS16: return 2U;
168  case DataType::Boolean: return 1U;
169  default: return 0U;
170  }
171 }
172 
173 template <unsigned N>
174 constexpr bool StrEqual(const char* strA, const char (&strB)[N])
175 {
176  bool isEqual = true;
177  for (unsigned i = 0; isEqual && (i < N); ++i)
178  {
179  isEqual = (strA[i] == strB[i]);
180  }
181  return isEqual;
182 }
183 
184 /// Deprecated function that will be removed together with
185 /// the Compute enum
186 constexpr armnn::Compute ParseComputeDevice(const char* str)
187 {
188  if (armnn::StrEqual(str, "CpuAcc"))
189  {
190  return armnn::Compute::CpuAcc;
191  }
192  else if (armnn::StrEqual(str, "CpuRef"))
193  {
194  return armnn::Compute::CpuRef;
195  }
196  else if (armnn::StrEqual(str, "GpuAcc"))
197  {
198  return armnn::Compute::GpuAcc;
199  }
200  else
201  {
203  }
204 }
205 
206 constexpr const char* GetDataTypeName(DataType dataType)
207 {
208  switch (dataType)
209  {
210  case DataType::Float16: return "Float16";
211  case DataType::Float32: return "Float32";
212  case DataType::Signed64: return "Signed64";
213  case DataType::QAsymmU8: return "QAsymmU8";
214  case DataType::QAsymmS8: return "QAsymmS8";
215  case DataType::QSymmS8: return "QSymmS8";
216  case DataType::QSymmS16: return "QSymm16";
217  case DataType::Signed32: return "Signed32";
218  case DataType::Boolean: return "Boolean";
219  case DataType::BFloat16: return "BFloat16";
220 
221  default:
222  return "Unknown";
223  }
224 }
225 
226 constexpr const char* GetDataLayoutName(DataLayout dataLayout)
227 {
228  switch (dataLayout)
229  {
230  case DataLayout::NCHW: return "NCHW";
231  case DataLayout::NHWC: return "NHWC";
232  case DataLayout::NDHWC: return "NDHWC";
233  case DataLayout::NCDHW: return "NCDHW";
234  default: return "Unknown";
235  }
236 }
237 
239 {
240  switch (channel)
241  {
242  case NormalizationAlgorithmChannel::Across: return "Across";
243  case NormalizationAlgorithmChannel::Within: return "Within";
244  default: return "Unknown";
245  }
246 }
247 
249 {
250  switch (method)
251  {
252  case NormalizationAlgorithmMethod::LocalBrightness: return "LocalBrightness";
253  case NormalizationAlgorithmMethod::LocalContrast: return "LocalContrast";
254  default: return "Unknown";
255  }
256 }
257 
258 constexpr const char* GetResizeMethodAsCString(ResizeMethod method)
259 {
260  switch (method)
261  {
262  case ResizeMethod::Bilinear: return "Bilinear";
263  case ResizeMethod::NearestNeighbor: return "NearestNeighbour";
264  default: return "Unknown";
265  }
266 }
267 
268 constexpr const char* GetMemBlockStrategyTypeName(MemBlockStrategyType memBlockStrategyType)
269 {
270  switch (memBlockStrategyType)
271  {
272  case MemBlockStrategyType::SingleAxisPacking: return "SingleAxisPacking";
273  case MemBlockStrategyType::MultiAxisPacking: return "MultiAxisPacking";
274  default: return "Unknown";
275  }
276 }
277 
278 template<typename T>
280  : std::integral_constant<bool, std::is_floating_point<T>::value && sizeof(T) == 2>
281 {};
282 
283 template<typename T>
284 constexpr bool IsQuantizedType()
285 {
286  return std::is_integral<T>::value;
287 }
288 
289 constexpr bool IsQuantized8BitType(DataType dataType)
290 {
291  return dataType == DataType::QAsymmU8 ||
292  dataType == DataType::QAsymmS8 ||
293  dataType == DataType::QSymmS8;
294 }
295 
296 constexpr bool IsQuantizedType(DataType dataType)
297 {
298  return dataType == DataType::QSymmS16 || IsQuantized8BitType(dataType);
299 }
300 
301 inline std::ostream& operator<<(std::ostream& os, Status stat)
302 {
303  os << GetStatusAsCString(stat);
304  return os;
305 }
306 
307 
308 inline std::ostream& operator<<(std::ostream& os, const armnn::TensorShape& shape)
309 {
310  os << "[";
312  {
313  for (uint32_t i = 0; i < shape.GetNumDimensions(); ++i)
314  {
315  if (i != 0)
316  {
317  os << ",";
318  }
319  if (shape.GetDimensionSpecificity(i))
320  {
321  os << shape[i];
322  }
323  else
324  {
325  os << "?";
326  }
327  }
328  }
329  else
330  {
331  os << "Dimensionality Not Specified";
332  }
333  os << "]";
334  return os;
335 }
336 
337 /// Quantize a floating point data type into an 8-bit data type.
338 /// @param value - The value to quantize.
339 /// @param scale - The scale (must be non-zero).
340 /// @param offset - The offset.
341 /// @return - The quantized value calculated as round(value/scale)+offset.
342 ///
343 template<typename QuantizedType>
344 QuantizedType Quantize(float value, float scale, int32_t offset);
345 
346 /// Dequantize an 8-bit data type into a floating point data type.
347 /// @param value - The value to dequantize.
348 /// @param scale - The scale (must be non-zero).
349 /// @param offset - The offset.
350 /// @return - The dequantized value calculated as (value-offset)*scale.
351 ///
352 template <typename QuantizedType>
353 float Dequantize(QuantizedType value, float scale, int32_t offset);
354 
355 inline void VerifyTensorInfoDataType(const armnn::TensorInfo & info, armnn::DataType dataType)
356 {
357  if (info.GetDataType() != dataType)
358  {
359  std::stringstream ss;
360  ss << "Unexpected datatype:" << armnn::GetDataTypeName(info.GetDataType())
361  << " for tensor:" << info.GetShape()
362  << ". The type expected to be: " << armnn::GetDataTypeName(dataType);
363  throw armnn::Exception(ss.str());
364  }
365 }
366 
367 } //namespace armnn
armnn::ActivationFunction::Abs
@ Abs
armnn::ActivationFunction::Elu
@ Elu
armnn::ReduceOperation::Mean
@ Mean
armnn::NormalizationAlgorithmMethod
NormalizationAlgorithmMethod
Definition: Types.hpp:199
armnn::OutputShapeRounding::Ceiling
@ Ceiling
armnn::OutputShapeRounding
OutputShapeRounding
Definition: Types.hpp:207
armnn::IsQuantized8BitType
constexpr bool IsQuantized8BitType(DataType dataType)
Definition: TypesUtils.hpp:289
armnn::Dimensionality::NotSpecified
@ NotSpecified
armnn::GetArgMinMaxFunctionAsCString
constexpr char const * GetArgMinMaxFunctionAsCString(ArgMinMaxFunction function)
Definition: TypesUtils.hpp:51
armnn::DataType::QAsymmU8
@ QAsymmU8
armnn::NormalizationAlgorithmChannel
NormalizationAlgorithmChannel
Definition: Types.hpp:193
armnn::ComparisonOperation::Equal
@ Equal
armnn::ActivationFunction::Linear
@ Linear
armnn::DataLayout
DataLayout
Definition: Types.hpp:62
armnn::TensorShape::GetDimensionality
Dimensionality GetDimensionality() const
Function that returns the tensor type.
Definition: Tensor.hpp:92
armnn::LogicalBinaryOperation::LogicalAnd
@ LogicalAnd
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
armnn::DataType::Float16
@ Float16
armnn::OutputShapeRounding::Floor
@ Floor
armnn::GetOutputShapeRoundingAsCString
constexpr char const * GetOutputShapeRoundingAsCString(OutputShapeRounding rounding)
Definition: TypesUtils.hpp:112
armnn::GetPoolingAlgorithmAsCString
constexpr char const * GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
Definition: TypesUtils.hpp:101
armnn::NormalizationAlgorithmMethod::LocalContrast
@ LocalContrast
Jarret 2009: Local Contrast Normalization.
armnn::ComparisonOperation::NotEqual
@ NotEqual
armnn::IsQuantizedType
constexpr bool IsQuantizedType()
Definition: TypesUtils.hpp:284
armnn::Compute::CpuAcc
@ CpuAcc
CPU Execution: NEON: ArmCompute.
armnn::Compute::GpuAcc
@ GpuAcc
GPU Execution: OpenCL: ArmCompute.
armnn::UnaryOperation::Exp
@ Exp
armnn::UnaryOperation::Sqrt
@ Sqrt
armnn::DataType::Signed32
@ Signed32
armnn::UnaryOperation::Neg
@ Neg
armnn::GetUnaryOperationAsCString
constexpr char const * GetUnaryOperationAsCString(UnaryOperation operation)
Definition: TypesUtils.hpp:75
armnn::ActivationFunction::HardSwish
@ HardSwish
armnn::ComparisonOperation::LessOrEqual
@ LessOrEqual
armnn::DataType::QAsymmS8
@ QAsymmS8
armnn::PaddingMethod::IgnoreValue
@ IgnoreValue
The padding fields count, but are ignored.
armnn::ArgMinMaxFunction
ArgMinMaxFunction
Definition: Types.hpp:102
armnn::MemBlockStrategyType
MemBlockStrategyType
Definition: Types.hpp:239
armnn::MemBlockStrategyType::MultiAxisPacking
@ MultiAxisPacking
armnn::Compute
Compute
The Compute enum is now deprecated and it is now being replaced by BackendId.
Definition: BackendId.hpp:21
armnn::PaddingMode::Constant
@ Constant
armnn::PoolingAlgorithm::L2
@ L2
armnn::NormalizationAlgorithmChannel::Within
@ Within
armnn::GetDataTypeSize
constexpr unsigned int GetDataTypeSize(DataType dataType)
Definition: TypesUtils.hpp:155
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
BackendId.hpp
armnn::GetReduceOperationAsCString
constexpr char const * GetReduceOperationAsCString(ReduceOperation reduce_operation)
Definition: TypesUtils.hpp:143
armnn::IsHalfType
Definition: TypesUtils.hpp:279
armnn::ReduceOperation::Min
@ Min
armnn::LogicalBinaryOperation
LogicalBinaryOperation
Definition: Types.hpp:118
armnn::GetLogicalBinaryOperationAsCString
constexpr char const * GetLogicalBinaryOperationAsCString(LogicalBinaryOperation operation)
Definition: TypesUtils.hpp:91
armnn::ResizeMethod::NearestNeighbor
@ NearestNeighbor
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::PoolingAlgorithm
PoolingAlgorithm
Definition: Types.hpp:136
armnn::ResizeMethod
ResizeMethod
Definition: Types.hpp:152
armnn::ReduceOperation::Sum
@ Sum
armnn::LogicalBinaryOperation::LogicalOr
@ LogicalOr
armnn::DataLayout::NCHW
@ NCHW
armnn::ReduceOperation::Max
@ Max
armnn::ParseComputeDevice
constexpr armnn::Compute ParseComputeDevice(const char *str)
Deprecated function that will be removed together with the Compute enum.
Definition: TypesUtils.hpp:186
armnn::ReduceOperation
ReduceOperation
Definition: Types.hpp:143
armnn::NormalizationAlgorithmChannel::Across
@ Across
armnn::GetResizeMethodAsCString
constexpr const char * GetResizeMethodAsCString(ResizeMethod method)
Definition: TypesUtils.hpp:258
armnn::NormalizationAlgorithmMethod::LocalBrightness
@ LocalBrightness
Krichevsky 2012: Local Brightness Normalization.
armnn::ActivationFunction::Sigmoid
@ Sigmoid
armnn::TensorShape::GetDimensionSpecificity
bool GetDimensionSpecificity(unsigned int i) const
Gets information about if the dimension size has been specified or not.
Definition: Tensor.cpp:211
armnn::DataLayout::NCDHW
@ NCDHW
armnn::ComparisonOperation::Greater
@ Greater
armnn::Status::Failure
@ Failure
armnn::ActivationFunction::SoftReLu
@ SoftReLu
armnn::GetPaddingModeAsCString
constexpr char const * GetPaddingModeAsCString(PaddingMode mode)
Definition: TypesUtils.hpp:132
armnn::ComparisonOperation::GreaterOrEqual
@ GreaterOrEqual
armnn::DataType::Float32
@ Float32
armnn::ResizeMethod::Bilinear
@ Bilinear
armnn::ArgMinMaxFunction::Min
@ Min
armnn::ComparisonOperation
ComparisonOperation
Definition: Types.hpp:108
armnn::TensorInfo
Definition: Tensor.hpp:152
armnn::DataType::Signed64
@ Signed64
armnn::PaddingMode
PaddingMode
The padding mode controls whether the padding should be filled with constant values (Constant),...
Definition: Types.hpp:186
armnn::UnaryOperation
UnaryOperation
Definition: Types.hpp:124
Tensor.hpp
armnn::StrEqual
constexpr bool StrEqual(const char *strA, const char(&strB)[N])
Definition: TypesUtils.hpp:174
armnn::Status::Success
@ Success
armnn::GetComparisonOperationAsCString
constexpr char const * GetComparisonOperationAsCString(ComparisonOperation operation)
Definition: TypesUtils.hpp:61
armnn::ArgMinMaxFunction::Max
@ Max
armnn::Status
Status
Definition: Types.hpp:42
armnn::PaddingMethod
PaddingMethod
The padding method modifies the output of pooling layers.
Definition: Types.hpp:174
armnn::Compute::Undefined
@ Undefined
armnn::DataLayout::NHWC
@ NHWC
armnn::ActivationFunction::Square
@ Square
armnn::GetNormalizationAlgorithmChannelAsCString
constexpr const char * GetNormalizationAlgorithmChannelAsCString(NormalizationAlgorithmChannel channel)
Definition: TypesUtils.hpp:238
armnn::PaddingMode::Reflect
@ Reflect
armnn::MemBlockStrategyType::SingleAxisPacking
@ SingleAxisPacking
armnn::UnaryOperation::Abs
@ Abs
armnn::VerifyTensorInfoDataType
void VerifyTensorInfoDataType(const armnn::TensorInfo &info, armnn::DataType dataType)
Definition: TypesUtils.hpp:355
armnn::GetActivationFunctionAsCString
constexpr char const * GetActivationFunctionAsCString(ActivationFunction activation)
Definition: TypesUtils.hpp:31
armnn::GetStatusAsCString
constexpr char const * GetStatusAsCString(Status status)
Definition: TypesUtils.hpp:21
armnn::TensorShape::GetNumDimensions
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
armnn::DataType
DataType
Definition: Types.hpp:48
armnn::GetNormalizationAlgorithmMethodAsCString
constexpr const char * GetNormalizationAlgorithmMethodAsCString(NormalizationAlgorithmMethod method)
Definition: TypesUtils.hpp:248
armnn::DataType::BFloat16
@ BFloat16
armnn::Quantize
QuantizedType Quantize(float value, float scale, int32_t offset)
Quantize a floating point data type into an 8-bit data type.
Definition: TypesUtils.cpp:30
armnn::GetPaddingMethodAsCString
constexpr char const * GetPaddingMethodAsCString(PaddingMethod method)
Definition: TypesUtils.hpp:122
armnn::ActivationFunction::TanH
@ TanH
armnn::PaddingMode::Symmetric
@ Symmetric
armnn::PoolingAlgorithm::Max
@ Max
armnn::operator<<
std::ostream & operator<<(std::ostream &os, const std::vector< Compute > &compute)
Deprecated function that will be removed together with the Compute enum.
Definition: BackendId.hpp:47
armnn::UnaryOperation::LogicalNot
@ LogicalNot
armnn::UnaryOperation::Sin
@ Sin
Exceptions.hpp
armnn::PoolingAlgorithm::Average
@ Average
armnn::DataType::QSymmS8
@ QSymmS8
armnn::UnaryOperation::Rsqrt
@ Rsqrt
armnn::DataType::QSymmS16
@ QSymmS16
armnn::ReduceOperation::Prod
@ Prod
armnn::ActivationFunction::ReLu
@ ReLu
armnn::ActivationFunction::Sqrt
@ Sqrt
Types.hpp
armnn::PaddingMethod::Exclude
@ Exclude
The padding fields don't count and are ignored.
armnn::DataLayout::NDHWC
@ NDHWC
armnn::Dequantize
float Dequantize(QuantizedType value, float scale, int32_t offset)
Dequantize an 8-bit data type into a floating point data type.
Definition: TypesUtils.cpp:46
armnn::DataType::Boolean
@ Boolean
armnn::GetDataTypeName
constexpr const char * GetDataTypeName(DataType dataType)
Definition: TypesUtils.hpp:206
armnn::GetDataLayoutName
constexpr const char * GetDataLayoutName(DataLayout dataLayout)
Definition: TypesUtils.hpp:226
armnn::ComparisonOperation::Less
@ Less
armnn::ActivationFunction::BoundedReLu
@ BoundedReLu
min(a, max(b, input)) ReLu1 & ReLu6.
armnn::Compute::CpuRef
@ CpuRef
CPU Execution: Reference C++ kernels.
armnn::UnaryOperation::Log
@ Log
armnn::BoostLogSeverityMapping::info
@ info
armnn::GetMemBlockStrategyTypeName
constexpr const char * GetMemBlockStrategyTypeName(MemBlockStrategyType memBlockStrategyType)
Definition: TypesUtils.hpp:268
armnn::ActivationFunction::LeakyReLu
@ LeakyReLu
armnn::ActivationFunction
ActivationFunction
Definition: Types.hpp:86