40 auto layer = CloneBase<BatchToSpaceNdLayer>(graph,
m_Param,
GetName());
41 return std::move(layer);
50 BOOST_ASSERT(inferredShapes.size() == 1);
52 ConditionalThrowIfNotEqual<LayerValidationException>(
53 "BatchToSpaceLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
59 BOOST_ASSERT(inputShapes.size() == 1);
69 BOOST_ASSERT(inputShape[0] % accumulatedBlockShape == 0);
71 outputShape[0] = inputShape[0] / accumulatedBlockShape;
83 BOOST_ASSERT_MSG(heightCrop <= outputHeight,
84 "BatchToSpaceLayer: Overall height crop should be less than or equal to the uncropped output height.");
86 BOOST_ASSERT_MSG(widthCrop <= outputWidth,
87 "BatchToSpaceLayer: Overall width crop should be less than or equal to the uncropped output width.");
89 outputShape[heightIndex] = outputHeight - heightCrop;
90 outputShape[widthIndex] = outputWidth - widthCrop;
92 return std::vector<TensorShape>({ outputShape });
virtual std::unique_ptr< IWorkload > CreateBatchToSpaceNd(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &Info) const
BatchToSpaceNdDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
const BatchToSpaceNdDescriptor & GetParameters() 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, otherwise infers the output shapes from given input shapes and layer properties.
unsigned int GetWidthIndex() const
const TensorShape & GetShape() const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the BatchToSpaceNd type.
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
BatchToSpaceNdLayer(const BatchToSpaceNdDescriptor ¶m, const char *name)
Constructor to create a BatchToSpaceNdLayer.
Copyright (c) 2020 ARM Limited.
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
unsigned int GetHeightIndex() const
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.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of BatchToSpaceNdLayer.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
std::vector< unsigned int > m_BlockShape
Block shape values.
Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...
This layer represents a BatchToSpaceNd operation.
virtual void VisitBatchToSpaceNdLayer(const IConnectableLayer *layer, const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)=0
Function that a batch to space ND layer should call back to when its Accept(ILayerVisitor&) function ...
BatchToSpaceNdLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
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.
void BatchToSpaceNd(const DataLayoutIndexed &dataLayout, const TensorInfo &inputTensorInfo, const TensorInfo &outputTensorInfo, const std::vector< unsigned int > &blockShape, const std::vector< std::pair< unsigned int, unsigned int >> &cropsData, Decoder< float > &inputDecoder, Encoder< float > &outputEncoder)
const TensorInfo & GetTensorInfo() const override