177 virtual const BackendId& GetId()
const = 0;
190 virtual const BackendIdSet& GetSupportedBackends()
const = 0;
201 using ArrayType = std::array<ValueType, MaxNumOfTensorDimensions>;
232 if (m_NumDimMappings != other.m_NumDimMappings)
return false;
233 for (
unsigned int i = 0; i < m_NumDimMappings; ++i)
235 if (m_DimMappings[i] != other.m_DimMappings[i])
return false;
242 bool isInverse = (GetSize() == other.
GetSize());
243 for (
SizeType i = 0; isInverse && (i < GetSize()); ++i)
245 isInverse = (m_DimMappings[other.m_DimMappings[i]] == i);
267 using DebugCallbackFunction = std::function<void(LayerGuid guid, unsigned int slotIndex, ITensorHandle* tensorHandle)>;
273 static constexpr uint64_t MIN_STATIC_GUID = 1llu << 63;
282 operator uint64_t()
const {
return m_Guid; }
286 return m_Guid == other.
m_Guid;
291 return m_Guid != other.
m_Guid;
296 return m_Guid < other.
m_Guid;
301 return m_Guid <= other.
m_Guid;
306 return m_Guid > other.
m_Guid;
311 return m_Guid >= other.
m_Guid;
338 struct hash<
armnn::profiling::ProfilingGuid>
342 return hash<uint64_t>()(uint64_t(guid));
348 struct hash<
armnn::profiling::ProfilingDynamicGuid>
352 return hash<uint64_t>()(uint64_t(guid));
358 struct hash<
armnn::profiling::ProfilingStaticGuid>
362 return hash<uint64_t>()(uint64_t(guid));
bool operator<(const ProfilingGuid &other) const
bool operator>=(const ProfilingGuid &other) const
bool operator==(const ProfilingGuid &other) const
std::unordered_set< BackendId > BackendIdSet
std::size_t operator()(armnn::profiling::ProfilingGuid const &guid) const noexcept
typename ArrayType::const_iterator ConstIterator
Each backend should implement an IBackend.
Strongly typed guids to distinguish between those generated at runtime, and those that are statically...
The padding fields don't count and are ignored.
NormalizationAlgorithmChannel
Copyright (c) 2020 ARM Limited.
std::function< void(LayerGuid guid, unsigned int slotIndex, ITensorHandle *tensorHandle)> DebugCallbackFunction
Define the type of callback for the Debug layer to call.
std::size_t operator()(armnn::profiling::ProfilingDynamicGuid const &guid) const noexcept
int LayerBindingId
Type of identifiers for bindable layers (inputs, outputs).
PaddingMethod
The padding method modifies the output of pooling layers.
std::shared_ptr< IBackend > IBackendSharedPtr
bool operator<=(const ProfilingGuid &other) const
#define ARMNN_DEPRECATED_ENUM_MSG(message)
std::size_t operator()(armnn::profiling::ProfilingStaticGuid const &guid) const noexcept
std::array< ValueType, MaxNumOfTensorDimensions > ArrayType
Validate all output shapes.
Device specific knowledge to be passed to the optimizer.
constexpr unsigned int LOWEST_CAPTURE_PERIOD
The lowest performance data capture interval we support is 10 miliseconds.
std::unique_ptr< IBackend, void(*)(IBackend *backend)> IBackendUniquePtr
min(a, max(b, input)) ReLu1 & ReLu6.
ValueType operator[](SizeType i) const
bool IsEqual(const PermutationVector &other) const
The padding fields count, but are ignored.
ProfilingGuid(uint64_t guid)
bool operator!=(const ProfilingGuid &other) const
Jarret 2009: Local Contrast Normalization.
ConstIterator begin() const
ConstIterator end() const
Infer missing output shapes and validate all output shapes.
Krichevsky 2012: Local Brightness Normalization.
bool IsInverse(const PermutationVector &other) const
NormalizationAlgorithmMethod
bool operator>(const ProfilingGuid &other) const
ShapeInferenceMethod
The ShapeInferenceMethod modify how the output shapes are treated.
constexpr unsigned int MaxNumOfTensorDimensions