39 BOOST_ASSERT(inputShapes.size() == 1);
47 unsigned int outBatch = inputShape[0];
50 TensorShape( { outBatch, outHeight, outWidth, outChannels } ) :
51 TensorShape( { outBatch, outChannels, outHeight, outWidth });
53 return std::vector<TensorShape>({ tensorShape });
62 BOOST_ASSERT(inferredShapes.size() == 1);
64 ConditionalThrowIfNotEqual<LayerValidationException>(
65 "ResizeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of ResizeLayer.
ResizeDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const ResizeDescriptor & GetParameters() const
const TensorShape & GetShape() const
ResizeLayer(const ResizeDescriptor ¶m, const char *name)
Constructor to create a ResizeLayer.
Copyright (c) 2020 ARM Limited.
A ResizeDescriptor for the ResizeLayer.
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
virtual std::unique_ptr< IWorkload > CreateResize(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info) const
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
uint32_t m_TargetWidth
Target width value.
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, otherwise infers the output shapes from given input shapes and layer properties.
void Resize(Decoder< float > &in, const TensorInfo &inputInfo, Encoder< float > &out, const TensorInfo &outputInfo, DataLayoutIndexed dataLayout, armnn::ResizeMethod resizeMethod, bool alignCorners)
uint32_t m_TargetHeight
Target height value.
virtual void VisitResizeLayer(const IConnectableLayer *layer, const ResizeDescriptor &resizeDescriptor, const char *name=nullptr)=0
Function that a resize layer should call back to when its Accept(ILayerVisitor&) function is invoked...
ResizeLayer * 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 Resize type.
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
virtual const TensorInfo & GetTensorInfo() const =0
const char * GetName() const override
Returns the name of the layer.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
const TensorInfo & GetTensorInfo() const override
unsigned int GetChannelsIndex() const
This layer represents a resize operation.