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40 if (inputShapes.size() != 1)
42 throw armnn::Exception(
"inputShapes' size is \"" + std::to_string(inputShapes.size()) +
43 "\" - should be \"1\".");
60 if (inferredShapes.size() != 1)
63 + std::to_string(inferredShapes.size()) +
64 " elements - should only have 1.");
PermuteLayer(const PermuteDescriptor ¶m, const char *name)
Constructor to create a PermuteLayer.
const TensorInfo & GetTensorInfo() const override
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)
armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
const PermuteDescriptor & GetParameters() const override
const char * GetName() const override
Returns the name of the layer.
PermuteLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Permute type.
PermuteDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of PermuteLayer.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
A PermuteDescriptor for the PermuteLayer.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Base class for all ArmNN exceptions so that users can filter to just those.
PermutationVector m_DimMappings
Indicates how to translate tensor elements from a given source into the target destination,...
const TensorShape & GetShape() const
Copyright (c) 2021 ARM Limited and Contributors.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
This layer represents a permutation operation.
ShapeInferenceMethod m_ShapeInferenceMethod
LayerType
When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.
virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0
Backends should implement their own CreateWorkload function with a switch statement.
virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0