24.08
|
Go to the documentation of this file.
28 auto layer = CloneBase<ReverseV2Layer>(graph,
GetName());
30 return std::move(layer);
35 if (inputShapes.size() != 2)
37 throw armnn::Exception(
"inputShapes' size is \"" + std::to_string(inputShapes.size()) +
38 "\" - should be \"2\".");
41 const auto inputDims = inputShapes[0].GetNumDimensions();
43 std::vector<unsigned int> dimSizes(inputDims);
44 for (
unsigned i=0; i<inputDims; i++)
46 dimSizes[i] = inputShapes[0][i];
49 TensorShape outputShape({ inputDims, dimSizes.data() });
51 return std::vector<TensorShape>({ outputShape });
66 if (inferredShapes.size() != 1)
69 + std::to_string(inferredShapes.size()) +
70 " elements - should only have 1.");
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the ReverseV2 type.
ReverseV2Layer(const char *name)
Constructor to create a ReverseV2Layer.
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)
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ReverseV2Layer.
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
const char * GetName() const override
Returns the name of the layer.
void ReverseV2(const TensorInfo &inputInfo, const TensorInfo &axisInfo, Decoder< float > &inputDecoder, Decoder< int > &axisDecoder, Encoder< float > &outputEncoder)
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
This layer represents a ReverseV2 operation.
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Base class for all ArmNN exceptions so that users can filter to just those.
Base class for all descriptors.
const TensorShape & GetShape() const
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,...
Copyright (c) 2021 ARM Limited and Contributors.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
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
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
ReverseV2Layer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.