ArmNN
 21.05
TypesUtils.hpp
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1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #pragma once
6 
7 #include <armnn/Tensor.hpp>
8 #include <armnn/Types.hpp>
9 
10 #include <cmath>
11 #include <ostream>
12 #include <set>
13 
14 namespace armnn
15 {
16 
17 constexpr char const* GetStatusAsCString(Status status)
18 {
19  switch (status)
20  {
21  case armnn::Status::Success: return "Status::Success";
22  case armnn::Status::Failure: return "Status::Failure";
23  default: return "Unknown";
24  }
25 }
26 
27 constexpr char const* GetActivationFunctionAsCString(ActivationFunction activation)
28 {
29  switch (activation)
30  {
31  case ActivationFunction::Sigmoid: return "Sigmoid";
32  case ActivationFunction::TanH: return "TanH";
33  case ActivationFunction::Linear: return "Linear";
34  case ActivationFunction::ReLu: return "ReLu";
35  case ActivationFunction::BoundedReLu: return "BoundedReLu";
36  case ActivationFunction::SoftReLu: return "SoftReLu";
37  case ActivationFunction::LeakyReLu: return "LeakyReLu";
38  case ActivationFunction::Abs: return "Abs";
39  case ActivationFunction::Sqrt: return "Sqrt";
40  case ActivationFunction::Square: return "Square";
41  case ActivationFunction::Elu: return "Elu";
42  case ActivationFunction::HardSwish: return "HardSwish";
43  default: return "Unknown";
44  }
45 }
46 
47 constexpr char const* GetArgMinMaxFunctionAsCString(ArgMinMaxFunction function)
48 {
49  switch (function)
50  {
51  case ArgMinMaxFunction::Max: return "Max";
52  case ArgMinMaxFunction::Min: return "Min";
53  default: return "Unknown";
54  }
55 }
56 
57 constexpr char const* GetComparisonOperationAsCString(ComparisonOperation operation)
58 {
59  switch (operation)
60  {
61  case ComparisonOperation::Equal: return "Equal";
62  case ComparisonOperation::Greater: return "Greater";
63  case ComparisonOperation::GreaterOrEqual: return "GreaterOrEqual";
64  case ComparisonOperation::Less: return "Less";
65  case ComparisonOperation::LessOrEqual: return "LessOrEqual";
66  case ComparisonOperation::NotEqual: return "NotEqual";
67  default: return "Unknown";
68  }
69 }
70 
71 constexpr char const* GetUnaryOperationAsCString(UnaryOperation operation)
72 {
73  switch (operation)
74  {
75  case UnaryOperation::Abs: return "Abs";
76  case UnaryOperation::Exp: return "Exp";
77  case UnaryOperation::Sqrt: return "Sqrt";
78  case UnaryOperation::Rsqrt: return "Rsqrt";
79  case UnaryOperation::Neg: return "Neg";
80  case UnaryOperation::LogicalNot: return "LogicalNot";
81  default: return "Unknown";
82  }
83 }
84 
86 {
87  switch (operation)
88  {
89  case LogicalBinaryOperation::LogicalAnd: return "LogicalAnd";
90  case LogicalBinaryOperation::LogicalOr: return "LogicalOr";
91  default: return "Unknown";
92  }
93 }
94 
95 constexpr char const* GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
96 {
97  switch (pooling)
98  {
99  case PoolingAlgorithm::Average: return "Average";
100  case PoolingAlgorithm::Max: return "Max";
101  case PoolingAlgorithm::L2: return "L2";
102  default: return "Unknown";
103  }
104 }
105 
107 {
108  switch (rounding)
109  {
110  case OutputShapeRounding::Ceiling: return "Ceiling";
111  case OutputShapeRounding::Floor: return "Floor";
112  default: return "Unknown";
113  }
114 }
115 
116 constexpr char const* GetPaddingMethodAsCString(PaddingMethod method)
117 {
118  switch (method)
119  {
120  case PaddingMethod::Exclude: return "Exclude";
121  case PaddingMethod::IgnoreValue: return "IgnoreValue";
122  default: return "Unknown";
123  }
124 }
125 
126 constexpr char const* GetReduceOperationAsCString(ReduceOperation reduce_operation)
127 {
128  switch (reduce_operation)
129  {
130  case ReduceOperation::Sum: return "Sum";
131  case ReduceOperation::Max: return "Max";
132  case ReduceOperation::Mean: return "Mean";
133  case ReduceOperation::Min: return "Min";
134  default: return "Unknown";
135  }
136 }
137 constexpr unsigned int GetDataTypeSize(DataType dataType)
138 {
139  switch (dataType)
140  {
141  case DataType::BFloat16:
142  case DataType::Float16: return 2U;
143  case DataType::Float32:
144  case DataType::Signed32: return 4U;
145  case DataType::Signed64: return 8U;
146  case DataType::QAsymmU8: return 1U;
147  case DataType::QAsymmS8: return 1U;
148  case DataType::QSymmS8: return 1U;
150  case DataType::QuantizedSymm8PerAxis: return 1U;
152  case DataType::QSymmS16: return 2U;
153  case DataType::Boolean: return 1U;
154  default: return 0U;
155  }
156 }
157 
158 template <unsigned N>
159 constexpr bool StrEqual(const char* strA, const char (&strB)[N])
160 {
161  bool isEqual = true;
162  for (unsigned i = 0; isEqual && (i < N); ++i)
163  {
164  isEqual = (strA[i] == strB[i]);
165  }
166  return isEqual;
167 }
168 
169 /// Deprecated function that will be removed together with
170 /// the Compute enum
171 constexpr armnn::Compute ParseComputeDevice(const char* str)
172 {
173  if (armnn::StrEqual(str, "CpuAcc"))
174  {
175  return armnn::Compute::CpuAcc;
176  }
177  else if (armnn::StrEqual(str, "CpuRef"))
178  {
179  return armnn::Compute::CpuRef;
180  }
181  else if (armnn::StrEqual(str, "GpuAcc"))
182  {
183  return armnn::Compute::GpuAcc;
184  }
185  else
186  {
188  }
189 }
190 
191 constexpr const char* GetDataTypeName(DataType dataType)
192 {
193  switch (dataType)
194  {
195  case DataType::Float16: return "Float16";
196  case DataType::Float32: return "Float32";
197  case DataType::Signed64: return "Signed64";
198  case DataType::QAsymmU8: return "QAsymmU8";
199  case DataType::QAsymmS8: return "QAsymmS8";
200  case DataType::QSymmS8: return "QSymmS8";
202  case DataType::QuantizedSymm8PerAxis: return "QSymm8PerAxis";
204  case DataType::QSymmS16: return "QSymm16";
205  case DataType::Signed32: return "Signed32";
206  case DataType::Boolean: return "Boolean";
207  case DataType::BFloat16: return "BFloat16";
208 
209  default:
210  return "Unknown";
211  }
212 }
213 
214 constexpr const char* GetDataLayoutName(DataLayout dataLayout)
215 {
216  switch (dataLayout)
217  {
218  case DataLayout::NCHW: return "NCHW";
219  case DataLayout::NHWC: return "NHWC";
220  default: return "Unknown";
221  }
222 }
223 
225 {
226  switch (channel)
227  {
228  case NormalizationAlgorithmChannel::Across: return "Across";
229  case NormalizationAlgorithmChannel::Within: return "Within";
230  default: return "Unknown";
231  }
232 }
233 
235 {
236  switch (method)
237  {
238  case NormalizationAlgorithmMethod::LocalBrightness: return "LocalBrightness";
239  case NormalizationAlgorithmMethod::LocalContrast: return "LocalContrast";
240  default: return "Unknown";
241  }
242 }
243 
244 constexpr const char* GetResizeMethodAsCString(ResizeMethod method)
245 {
246  switch (method)
247  {
248  case ResizeMethod::Bilinear: return "Bilinear";
249  case ResizeMethod::NearestNeighbor: return "NearestNeighbour";
250  default: return "Unknown";
251  }
252 }
253 
254 template<typename T>
256  : std::integral_constant<bool, std::is_floating_point<T>::value && sizeof(T) == 2>
257 {};
258 
259 template<typename T>
260 constexpr bool IsQuantizedType()
261 {
262  return std::is_integral<T>::value;
263 }
264 
265 constexpr bool IsQuantized8BitType(DataType dataType)
266 {
268  return dataType == DataType::QAsymmU8 ||
269  dataType == DataType::QAsymmS8 ||
270  dataType == DataType::QSymmS8 ||
273 }
274 
275 constexpr bool IsQuantizedType(DataType dataType)
276 {
277  return dataType == DataType::QSymmS16 || IsQuantized8BitType(dataType);
278 }
279 
280 inline std::ostream& operator<<(std::ostream& os, Status stat)
281 {
282  os << GetStatusAsCString(stat);
283  return os;
284 }
285 
286 
287 inline std::ostream & operator<<(std::ostream & os, const armnn::TensorShape & shape)
288 {
289  os << "[";
290  for (uint32_t i=0; i<shape.GetNumDimensions(); ++i)
291  {
292  if (i!=0)
293  {
294  os << ",";
295  }
296  os << shape[i];
297  }
298  os << "]";
299  return os;
300 }
301 
302 /// Quantize a floating point data type into an 8-bit data type.
303 /// @param value - The value to quantize.
304 /// @param scale - The scale (must be non-zero).
305 /// @param offset - The offset.
306 /// @return - The quantized value calculated as round(value/scale)+offset.
307 ///
308 template<typename QuantizedType>
309 QuantizedType Quantize(float value, float scale, int32_t offset);
310 
311 /// Dequantize an 8-bit data type into a floating point data type.
312 /// @param value - The value to dequantize.
313 /// @param scale - The scale (must be non-zero).
314 /// @param offset - The offset.
315 /// @return - The dequantized value calculated as (value-offset)*scale.
316 ///
317 template <typename QuantizedType>
318 float Dequantize(QuantizedType value, float scale, int32_t offset);
319 
321 {
322  if (info.GetDataType() != dataType)
323  {
324  std::stringstream ss;
325  ss << "Unexpected datatype:" << armnn::GetDataTypeName(info.GetDataType())
326  << " for tensor:" << info.GetShape()
327  << ". The type expected to be: " << armnn::GetDataTypeName(dataType);
328  throw armnn::Exception(ss.str());
329  }
330 }
331 
332 } //namespace armnn
constexpr const char * GetDataLayoutName(DataLayout dataLayout)
Definition: TypesUtils.hpp:214
DataLayout
Definition: Types.hpp:54
const TensorShape & GetShape() const
Definition: Tensor.hpp:187
CPU Execution: Reference C++ kernels.
constexpr const char * GetResizeMethodAsCString(ResizeMethod method)
Definition: TypesUtils.hpp:244
constexpr bool IsQuantizedType()
Definition: TypesUtils.hpp:260
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
Definition: Deprecated.hpp:33
The padding fields don&#39;t count and are ignored.
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
NormalizationAlgorithmChannel
Definition: Types.hpp:160
constexpr char const * GetPoolingAlgorithmAsCString(PoolingAlgorithm pooling)
Definition: TypesUtils.hpp:95
Copyright (c) 2021 ARM Limited and Contributors.
constexpr char const * GetOutputShapeRoundingAsCString(OutputShapeRounding rounding)
Definition: TypesUtils.hpp:106
PoolingAlgorithm
Definition: Types.hpp:115
LogicalBinaryOperation
Definition: Types.hpp:99
constexpr const char * GetDataTypeName(DataType dataType)
Definition: TypesUtils.hpp:191
PaddingMethod
The padding method modifies the output of pooling layers.
Definition: Types.hpp:152
constexpr char const * GetUnaryOperationAsCString(UnaryOperation operation)
Definition: TypesUtils.hpp:71
constexpr bool IsQuantized8BitType(DataType dataType)
Definition: TypesUtils.hpp:265
constexpr char const * GetLogicalBinaryOperationAsCString(LogicalBinaryOperation operation)
Definition: TypesUtils.hpp:85
constexpr char const * GetArgMinMaxFunctionAsCString(ArgMinMaxFunction function)
Definition: TypesUtils.hpp:47
ComparisonOperation
Definition: Types.hpp:89
ReduceOperation
Definition: Types.hpp:122
Compute
The Compute enum is now deprecated and it is now being replaced by BackendId.
Definition: BackendId.hpp:21
DataType
Definition: Types.hpp:36
#define ARMNN_NO_DEPRECATE_WARN_END
Definition: Deprecated.hpp:34
constexpr bool StrEqual(const char *strA, const char(&strB)[N])
Definition: TypesUtils.hpp:159
DataType GetDataType() const
Definition: Tensor.hpp:194
constexpr armnn::Compute ParseComputeDevice(const char *str)
Deprecated function that will be removed together with the Compute enum.
Definition: TypesUtils.hpp:171
Status
enumeration
Definition: Types.hpp:30
GPU Execution: OpenCL: ArmCompute.
constexpr const char * GetNormalizationAlgorithmMethodAsCString(NormalizationAlgorithmMethod method)
Definition: TypesUtils.hpp:234
min(a, max(b, input)) ReLu1 & ReLu6.
constexpr const char * GetNormalizationAlgorithmChannelAsCString(NormalizationAlgorithmChannel channel)
Definition: TypesUtils.hpp:224
OutputShapeRounding
Definition: Types.hpp:174
The padding fields count, but are ignored.
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
CPU Execution: NEON: ArmCompute.
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
Jarret 2009: Local Contrast Normalization.
ArgMinMaxFunction
Definition: Types.hpp:83
constexpr char const * GetComparisonOperationAsCString(ComparisonOperation operation)
Definition: TypesUtils.hpp:57
ResizeMethod
Definition: Types.hpp:130
UnaryOperation
Definition: Types.hpp:105
constexpr char const * GetActivationFunctionAsCString(ActivationFunction activation)
Definition: TypesUtils.hpp:27
void VerifyTensorInfoDataType(const armnn::TensorInfo &info, armnn::DataType dataType)
Definition: TypesUtils.hpp:320
constexpr char const * GetReduceOperationAsCString(ReduceOperation reduce_operation)
Definition: TypesUtils.hpp:126
constexpr char const * GetStatusAsCString(Status status)
Definition: TypesUtils.hpp:17
constexpr char const * GetPaddingMethodAsCString(PaddingMethod method)
Definition: TypesUtils.hpp:116
Krichevsky 2012: Local Brightness Normalization.
NormalizationAlgorithmMethod
Definition: Types.hpp:166
ActivationFunction
Definition: Types.hpp:67
constexpr unsigned int GetDataTypeSize(DataType dataType)
Definition: TypesUtils.hpp:137