ArmNN
 23.05
TypesUtils.hpp
Go to the documentation of this file.
1 //
2 // Copyright © 2018-2023 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* GetBinaryOperationAsCString(BinaryOperation operation)
76 {
77  switch (operation)
78  {
79  case BinaryOperation::Add: return "Add";
80  case BinaryOperation::Div: return "Div";
81  case BinaryOperation::Maximum: return "Maximum";
82  case BinaryOperation::Minimum: return "Minimum";
83  case BinaryOperation::Mul: return "Mul";
84  case BinaryOperation::Sub: return "Sub";
85  default: return "Unknown";
86  }
87 }
88 
89 constexpr char const* GetUnaryOperationAsCString(UnaryOperation operation)
90 {
91  switch (operation)
92  {
93  case UnaryOperation::Abs: return "Abs";
94  case UnaryOperation::Exp: return "Exp";
95  case UnaryOperation::Sqrt: return "Sqrt";
96  case UnaryOperation::Rsqrt: return "Rsqrt";
97  case UnaryOperation::Neg: return "Neg";
98  case UnaryOperation::Log: return "Log";
99  case UnaryOperation::LogicalNot: return "LogicalNot";
100  case UnaryOperation::Sin: return "Sin";
101  default: return "Unknown";
102  }
103 }
104 
106 {
107  switch (operation)
108  {
109  case LogicalBinaryOperation::LogicalAnd: return "LogicalAnd";
110  case LogicalBinaryOperation::LogicalOr: return "LogicalOr";
111  default: return "Unknown";
112  }
113 }
114 
115 constexpr char const* GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
116 {
117  switch (pooling)
118  {
119  case PoolingAlgorithm::Average: return "Average";
120  case PoolingAlgorithm::Max: return "Max";
121  case PoolingAlgorithm::L2: return "L2";
122  default: return "Unknown";
123  }
124 }
125 
127 {
128  switch (rounding)
129  {
130  case OutputShapeRounding::Ceiling: return "Ceiling";
131  case OutputShapeRounding::Floor: return "Floor";
132  default: return "Unknown";
133  }
134 }
135 
136 constexpr char const* GetPaddingMethodAsCString(PaddingMethod method)
137 {
138  switch (method)
139  {
140  case PaddingMethod::Exclude: return "Exclude";
141  case PaddingMethod::IgnoreValue: return "IgnoreValue";
142  default: return "Unknown";
143  }
144 }
145 
146 constexpr char const* GetPaddingModeAsCString(PaddingMode mode)
147 {
148  switch (mode)
149  {
150  case PaddingMode::Constant: return "Exclude";
151  case PaddingMode::Symmetric: return "Symmetric";
152  case PaddingMode::Reflect: return "Reflect";
153  default: return "Unknown";
154  }
155 }
156 
157 constexpr char const* GetReduceOperationAsCString(ReduceOperation reduce_operation)
158 {
159  switch (reduce_operation)
160  {
161  case ReduceOperation::Sum: return "Sum";
162  case ReduceOperation::Max: return "Max";
163  case ReduceOperation::Mean: return "Mean";
164  case ReduceOperation::Min: return "Min";
165  case ReduceOperation::Prod: return "Prod";
166  default: return "Unknown";
167  }
168 }
169 constexpr unsigned int GetDataTypeSize(DataType dataType)
170 {
171  switch (dataType)
172  {
173  case DataType::BFloat16:
174  case DataType::Float16: return 2U;
175  case DataType::Float32:
176  case DataType::Signed32: return 4U;
177  case DataType::Signed64: return 8U;
178  case DataType::QAsymmU8: return 1U;
179  case DataType::QAsymmS8: return 1U;
180  case DataType::QSymmS8: return 1U;
181  case DataType::QSymmS16: return 2U;
182  case DataType::Boolean: return 1U;
183  default: return 0U;
184  }
185 }
186 
187 template <unsigned N>
188 constexpr bool StrEqual(const char* strA, const char (&strB)[N])
189 {
190  bool isEqual = true;
191  for (unsigned i = 0; isEqual && (i < N); ++i)
192  {
193  isEqual = (strA[i] == strB[i]);
194  }
195  return isEqual;
196 }
197 
198 /// Deprecated function that will be removed together with
199 /// the Compute enum
200 constexpr armnn::Compute ParseComputeDevice(const char* str)
201 {
202  if (armnn::StrEqual(str, "CpuAcc"))
203  {
204  return armnn::Compute::CpuAcc;
205  }
206  else if (armnn::StrEqual(str, "CpuRef"))
207  {
208  return armnn::Compute::CpuRef;
209  }
210  else if (armnn::StrEqual(str, "GpuAcc"))
211  {
212  return armnn::Compute::GpuAcc;
213  }
214  else
215  {
217  }
218 }
219 
220 constexpr const char* GetDataTypeName(DataType dataType)
221 {
222  switch (dataType)
223  {
224  case DataType::Float16: return "Float16";
225  case DataType::Float32: return "Float32";
226  case DataType::Signed64: return "Signed64";
227  case DataType::QAsymmU8: return "QAsymmU8";
228  case DataType::QAsymmS8: return "QAsymmS8";
229  case DataType::QSymmS8: return "QSymmS8";
230  case DataType::QSymmS16: return "QSymm16";
231  case DataType::Signed32: return "Signed32";
232  case DataType::Boolean: return "Boolean";
233  case DataType::BFloat16: return "BFloat16";
234 
235  default:
236  return "Unknown";
237  }
238 }
239 
240 constexpr const char* GetDataLayoutName(DataLayout dataLayout)
241 {
242  switch (dataLayout)
243  {
244  case DataLayout::NCHW: return "NCHW";
245  case DataLayout::NHWC: return "NHWC";
246  case DataLayout::NDHWC: return "NDHWC";
247  case DataLayout::NCDHW: return "NCDHW";
248  default: return "Unknown";
249  }
250 }
251 
253 {
254  switch (channel)
255  {
256  case NormalizationAlgorithmChannel::Across: return "Across";
257  case NormalizationAlgorithmChannel::Within: return "Within";
258  default: return "Unknown";
259  }
260 }
261 
263 {
264  switch (method)
265  {
266  case NormalizationAlgorithmMethod::LocalBrightness: return "LocalBrightness";
267  case NormalizationAlgorithmMethod::LocalContrast: return "LocalContrast";
268  default: return "Unknown";
269  }
270 }
271 
272 constexpr const char* GetResizeMethodAsCString(ResizeMethod method)
273 {
274  switch (method)
275  {
276  case ResizeMethod::Bilinear: return "Bilinear";
277  case ResizeMethod::NearestNeighbor: return "NearestNeighbour";
278  default: return "Unknown";
279  }
280 }
281 
282 constexpr const char* GetMemBlockStrategyTypeName(MemBlockStrategyType memBlockStrategyType)
283 {
284  switch (memBlockStrategyType)
285  {
286  case MemBlockStrategyType::SingleAxisPacking: return "SingleAxisPacking";
287  case MemBlockStrategyType::MultiAxisPacking: return "MultiAxisPacking";
288  default: return "Unknown";
289  }
290 }
291 
292 template<typename T>
294  : std::integral_constant<bool, std::is_floating_point<T>::value && sizeof(T) == 2>
295 {};
296 
297 template<typename T>
298 constexpr bool IsQuantizedType()
299 {
300  return std::is_integral<T>::value;
301 }
302 
303 constexpr bool IsQuantized8BitType(DataType dataType)
304 {
305  return dataType == DataType::QAsymmU8 ||
306  dataType == DataType::QAsymmS8 ||
307  dataType == DataType::QSymmS8;
308 }
309 
310 constexpr bool IsQuantizedType(DataType dataType)
311 {
312  return dataType == DataType::QSymmS16 || IsQuantized8BitType(dataType);
313 }
314 
315 inline std::ostream& operator<<(std::ostream& os, Status stat)
316 {
317  os << GetStatusAsCString(stat);
318  return os;
319 }
320 
321 
322 inline std::ostream& operator<<(std::ostream& os, const armnn::TensorShape& shape)
323 {
324  os << "[";
326  {
327  for (uint32_t i = 0; i < shape.GetNumDimensions(); ++i)
328  {
329  if (i != 0)
330  {
331  os << ",";
332  }
333  if (shape.GetDimensionSpecificity(i))
334  {
335  os << shape[i];
336  }
337  else
338  {
339  os << "?";
340  }
341  }
342  }
343  else
344  {
345  os << "Dimensionality Not Specified";
346  }
347  os << "]";
348  return os;
349 }
350 
351 /// Quantize a floating point data type into an 8-bit data type.
352 /// @param value - The value to quantize.
353 /// @param scale - The scale (must be non-zero).
354 /// @param offset - The offset.
355 /// @return - The quantized value calculated as round(value/scale)+offset.
356 ///
357 template<typename QuantizedType>
358 QuantizedType Quantize(float value, float scale, int32_t offset);
359 
360 /// Dequantize an 8-bit data type into a floating point data type.
361 /// @param value - The value to dequantize.
362 /// @param scale - The scale (must be non-zero).
363 /// @param offset - The offset.
364 /// @return - The dequantized value calculated as (value-offset)*scale.
365 ///
366 template <typename QuantizedType>
367 float Dequantize(QuantizedType value, float scale, int32_t offset);
368 
369 inline void VerifyTensorInfoDataType(const armnn::TensorInfo & info, armnn::DataType dataType)
370 {
371  if (info.GetDataType() != dataType)
372  {
373  std::stringstream ss;
374  ss << "Unexpected datatype:" << armnn::GetDataTypeName(info.GetDataType())
375  << " for tensor:" << info.GetShape()
376  << ". The type expected to be: " << armnn::GetDataTypeName(dataType);
377  throw armnn::Exception(ss.str());
378  }
379 }
380 
381 } //namespace armnn
armnn::ActivationFunction::Abs
@ Abs
armnn::ActivationFunction::Elu
@ Elu
armnn::ReduceOperation::Mean
@ Mean
armnn::NormalizationAlgorithmMethod
NormalizationAlgorithmMethod
Definition: Types.hpp:210
armnn::OutputShapeRounding::Ceiling
@ Ceiling
armnn::OutputShapeRounding
OutputShapeRounding
Definition: Types.hpp:218
armnn::IsQuantized8BitType
constexpr bool IsQuantized8BitType(DataType dataType)
Definition: TypesUtils.hpp:303
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:204
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::BinaryOperation
BinaryOperation
Definition: Types.hpp:137
armnn::DataType::Float16
@ Float16
armnn::OutputShapeRounding::Floor
@ Floor
armnn::GetOutputShapeRoundingAsCString
constexpr char const * GetOutputShapeRoundingAsCString(OutputShapeRounding rounding)
Definition: TypesUtils.hpp:126
armnn::GetPoolingAlgorithmAsCString
constexpr char const * GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
Definition: TypesUtils.hpp:115
armnn::NormalizationAlgorithmMethod::LocalContrast
@ LocalContrast
Jarret 2009: Local Contrast Normalization.
armnn::ComparisonOperation::NotEqual
@ NotEqual
armnn::IsQuantizedType
constexpr bool IsQuantizedType()
Definition: TypesUtils.hpp:298
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:89
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:250
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:169
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:157
armnn::IsHalfType
Definition: TypesUtils.hpp:293
armnn::ReduceOperation::Min
@ Min
armnn::BinaryOperation::Sub
@ Sub
armnn::LogicalBinaryOperation
LogicalBinaryOperation
Definition: Types.hpp:118
armnn::GetLogicalBinaryOperationAsCString
constexpr char const * GetLogicalBinaryOperationAsCString(LogicalBinaryOperation operation)
Definition: TypesUtils.hpp:105
armnn::ResizeMethod::NearestNeighbor
@ NearestNeighbor
armnn::TensorShape
Definition: Tensor.hpp:20
armnn::PoolingAlgorithm
PoolingAlgorithm
Definition: Types.hpp:147
armnn::ResizeMethod
ResizeMethod
Definition: Types.hpp:163
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:200
armnn::ReduceOperation
ReduceOperation
Definition: Types.hpp:154
armnn::NormalizationAlgorithmChannel::Across
@ Across
armnn::GetResizeMethodAsCString
constexpr const char * GetResizeMethodAsCString(ResizeMethod method)
Definition: TypesUtils.hpp:272
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::BinaryOperation::Mul
@ Mul
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:146
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:197
armnn::UnaryOperation
UnaryOperation
Definition: Types.hpp:124
Tensor.hpp
armnn::StrEqual
constexpr bool StrEqual(const char *strA, const char(&strB)[N])
Definition: TypesUtils.hpp:188
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::BinaryOperation::Minimum
@ Minimum
armnn::PaddingMethod
PaddingMethod
The padding method modifies the output of pooling layers.
Definition: Types.hpp:185
armnn::Compute::Undefined
@ Undefined
armnn::DataLayout::NHWC
@ NHWC
armnn::ActivationFunction::Square
@ Square
armnn::GetNormalizationAlgorithmChannelAsCString
constexpr const char * GetNormalizationAlgorithmChannelAsCString(NormalizationAlgorithmChannel channel)
Definition: TypesUtils.hpp:252
armnn::PaddingMode::Reflect
@ Reflect
armnn::BinaryOperation::Maximum
@ Maximum
armnn::MemBlockStrategyType::SingleAxisPacking
@ SingleAxisPacking
armnn::UnaryOperation::Abs
@ Abs
armnn::VerifyTensorInfoDataType
void VerifyTensorInfoDataType(const armnn::TensorInfo &info, armnn::DataType dataType)
Definition: TypesUtils.hpp:369
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::BinaryOperation::Add
@ Add
armnn::DataType
DataType
Definition: Types.hpp:48
armnn::GetNormalizationAlgorithmMethodAsCString
constexpr const char * GetNormalizationAlgorithmMethodAsCString(NormalizationAlgorithmMethod method)
Definition: TypesUtils.hpp:262
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:136
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:220
armnn::BinaryOperation::Div
@ Div
armnn::GetDataLayoutName
constexpr const char * GetDataLayoutName(DataLayout dataLayout)
Definition: TypesUtils.hpp:240
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::GetBinaryOperationAsCString
constexpr char const * GetBinaryOperationAsCString(BinaryOperation operation)
Definition: TypesUtils.hpp:75
armnn::UnaryOperation::Log
@ Log
armnn::BoostLogSeverityMapping::info
@ info
armnn::GetMemBlockStrategyTypeName
constexpr const char * GetMemBlockStrategyTypeName(MemBlockStrategyType memBlockStrategyType)
Definition: TypesUtils.hpp:282
armnn::ActivationFunction::LeakyReLu
@ LeakyReLu
armnn::ActivationFunction
ActivationFunction
Definition: Types.hpp:86