20.11
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This layer dequantizes the input tensor. More...
#include <DequantizeLayer.hpp>
Public Member Functions | |
virtual std::unique_ptr< IWorkload > | CreateWorkload (const IWorkloadFactory &factory) const override |
Makes a workload for the Dequantize type. More... | |
DequantizeLayer * | Clone (Graph &graph) const override |
Creates a dynamically-allocated copy of this layer. More... | |
void | ValidateTensorShapesFromInputs () override |
Check if the input tensor shape(s) will lead to a valid configuration of DequantizeLayer. More... | |
void | Accept (ILayerVisitor &visitor) const override |
Apply a visitor to this layer. More... | |
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Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name) | |
Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, DataLayout layout, const char *name) | |
const std::string & | GetNameStr () const |
const OutputHandler & | GetOutputHandler (unsigned int i=0) const |
OutputHandler & | GetOutputHandler (unsigned int i=0) |
ShapeInferenceMethod | GetShapeInferenceMethod () const |
const std::vector< InputSlot > & | GetInputSlots () const |
const std::vector< OutputSlot > & | GetOutputSlots () const |
std::vector< InputSlot >::iterator | BeginInputSlots () |
std::vector< InputSlot >::iterator | EndInputSlots () |
std::vector< OutputSlot >::iterator | BeginOutputSlots () |
std::vector< OutputSlot >::iterator | EndOutputSlots () |
bool | IsOutputUnconnected () |
void | ResetPriority () const |
LayerPriority | GetPriority () const |
LayerType | GetType () const |
DataType | GetDataType () const |
const BackendId & | GetBackendId () const |
void | SetBackendId (const BackendId &id) |
virtual void | CreateTensorHandles (const TensorHandleFactoryRegistry ®istry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true) |
void | VerifyLayerConnections (unsigned int expectedConnections, const CheckLocation &location) const |
std::vector< TensorShape > | InferOutputShapes (const std::vector< TensorShape > &inputShapes) const override |
Infer the shape of the output(s) based on the provided input shape(s) More... | |
virtual void | SerializeLayerParameters (ParameterStringifyFunction &fn) const |
Helper to serialize the layer parameters to string. More... | |
virtual void | ReleaseConstantData () |
template<typename Op > | |
void | OperateOnConstantTensors (Op op) |
const char * | GetName () const override |
Returns the name of the layer. More... | |
unsigned int | GetNumInputSlots () const override |
Returns the number of connectable input slots. More... | |
unsigned int | GetNumOutputSlots () const override |
Returns the number of connectable output slots. More... | |
const InputSlot & | GetInputSlot (unsigned int index) const override |
Get a const input slot handle by slot index. More... | |
InputSlot & | GetInputSlot (unsigned int index) override |
Get the input slot handle by slot index. More... | |
const OutputSlot & | GetOutputSlot (unsigned int index=0) const override |
Get the const output slot handle by slot index. More... | |
OutputSlot & | GetOutputSlot (unsigned int index=0) override |
Get the output slot handle by slot index. More... | |
void | SetGuid (LayerGuid guid) |
LayerGuid | GetGuid () const final |
Returns the unique id of the layer. More... | |
void | AddRelatedLayerName (const std::string layerName) |
const std::list< std::string > & | GetRelatedLayerNames () |
virtual void | Reparent (Graph &dest, std::list< Layer *>::const_iterator iterator)=0 |
void | BackendSelectionHint (Optional< BackendId > backend) final |
Provide a hint for the optimizer as to which backend to prefer for this layer. More... | |
Optional< BackendId > | GetBackendHint () const |
void | SetShapeInferenceMethod (ShapeInferenceMethod shapeInferenceMethod) |
template<typename T > | |
std::shared_ptr< T > | GetAdditionalInformation () const |
void | SetAdditionalInfoForObject (const AdditionalInfoObjectPtr &additionalInfo) |
Protected Member Functions | |
DequantizeLayer (const char *name) | |
Constructor to create a DequantizeLayer. More... | |
~DequantizeLayer ()=default | |
Default destructor. More... | |
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virtual | ~Layer ()=default |
template<typename QueueDescriptor > | |
void | CollectQueueDescriptorInputs (QueueDescriptor &descriptor, WorkloadInfo &info) const |
template<typename QueueDescriptor > | |
void | CollectQueueDescriptorOutputs (QueueDescriptor &descriptor, WorkloadInfo &info) const |
void | ValidateAndCopyShape (const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0) |
void | VerifyShapeInferenceType (const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod) |
template<typename QueueDescriptor > | |
WorkloadInfo | PrepInfoAndDesc (QueueDescriptor &descriptor) const |
Helper function to reduce duplication in *LayerCreateWorkload. More... | |
template<typename LayerType , typename ... Params> | |
LayerType * | CloneBase (Graph &graph, Params &&... params) const |
virtual ConstantTensors | GetConstantTensorsByRef () |
void | SetAdditionalInfo (QueueDescriptor &descriptor) const |
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~IConnectableLayer () | |
Objects are not deletable via the handle. More... | |
Additional Inherited Members | |
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using | ConstantTensors = std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> |
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AdditionalInfoObjectPtr | m_AdditionalInfoObject |
std::vector< OutputHandler > | m_OutputHandlers |
ShapeInferenceMethod | m_ShapeInferenceMethod |
This layer dequantizes the input tensor.
Definition at line 13 of file DequantizeLayer.hpp.
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protected |
Constructor to create a DequantizeLayer.
[in] | name | Optional name for the layer. |
Definition at line 15 of file DequantizeLayer.cpp.
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protecteddefault |
Default destructor.
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overridevirtual |
Apply a visitor to this layer.
Implements IConnectableLayer.
Definition at line 49 of file DequantizeLayer.cpp.
References Layer::GetName(), and ILayerVisitor::VisitDequantizeLayer().
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overridevirtual |
Creates a dynamically-allocated copy of this layer.
[in] | graph | The graph into which this layer is being cloned. |
Implements Layer.
Definition at line 28 of file DequantizeLayer.cpp.
References Layer::GetName().
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overridevirtual |
Makes a workload for the Dequantize type.
[in] | graph | The graph where this layer can be found. |
[in] | factory | The workload factory which will create the workload. |
Implements Layer.
Definition at line 19 of file DequantizeLayer.cpp.
References IWorkloadFactory::CreateDequantize(), Layer::PrepInfoAndDesc(), and Layer::SetAdditionalInfo().
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overridevirtual |
Check if the input tensor shape(s) will lead to a valid configuration of DequantizeLayer.
[in] | shapeInferenceMethod | Indicates if output shape shall be overwritten or just validated. |
Implements Layer.
Definition at line 33 of file DequantizeLayer.cpp.
References ARMNN_ASSERT, CHECK_LOCATION, InputSlot::GetConnection(), Layer::GetInputSlot(), Layer::GetOutputSlot(), TensorInfo::GetShape(), IOutputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), Layer::InferOutputShapes(), Layer::m_ShapeInferenceMethod, Layer::ValidateAndCopyShape(), Layer::VerifyLayerConnections(), and Layer::VerifyShapeInferenceType().