154 virtual const BackendId& GetId()
const = 0;
167 virtual const BackendIdSet& GetSupportedBackends()
const = 0;
178 using ArrayType = std::array<ValueType, MaxNumOfTensorDimensions>;
209 if (m_NumDimMappings != other.m_NumDimMappings)
return false;
210 for (
unsigned int i = 0; i < m_NumDimMappings; ++i)
212 if (m_DimMappings[i] != other.m_DimMappings[i])
return false;
219 bool isInverse = (GetSize() == other.
GetSize());
220 for (
SizeType i = 0; isInverse && (i < GetSize()); ++i)
222 isInverse = (m_DimMappings[other.m_DimMappings[i]] == i);
244 using DebugCallbackFunction = std::function<void(LayerGuid guid, unsigned int slotIndex, ITensorHandle* tensorHandle)>;
250 static constexpr uint64_t MIN_STATIC_GUID = 1llu << 63;
257 operator uint64_t()
const {
return m_Guid; }
261 return m_Guid == other.
m_Guid;
266 return m_Guid != other.
m_Guid;
271 return m_Guid < other.
m_Guid;
276 return m_Guid <= other.
m_Guid;
281 return m_Guid > other.
m_Guid;
286 return m_Guid >= other.
m_Guid;
313 struct hash<
armnn::profiling::ProfilingGuid>
317 return hash<uint64_t>()(uint64_t(guid));
323 struct hash<
armnn::profiling::ProfilingDynamicGuid>
327 return hash<uint64_t>()(uint64_t(guid));
333 struct hash<
armnn::profiling::ProfilingStaticGuid>
337 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
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
Krichevsky 2012: Local Brightness Normalization.
bool IsInverse(const PermutationVector &other) const
NormalizationAlgorithmMethod
bool operator>(const ProfilingGuid &other) const
constexpr unsigned int MaxNumOfTensorDimensions