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 });
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)
This layer represents a BatchToSpaceNd operation.
const char * GetName() const override
A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer.
virtual const TensorInfo & GetTensorInfo() const =0
unsigned int GetHeightIndex() const
DataLayout m_DataLayout
The data layout to be used (NCHW, NHWC).
unsigned int GetWidthIndex() const
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
const BatchToSpaceNdDescriptor & GetParameters() const
BatchToSpaceNdLayer(const BatchToSpaceNdDescriptor ¶m, const char *name)
BatchToSpaceNdDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *LayerCreateWorkload.
BatchToSpaceNdLayer * Clone(Graph &graph) const override
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
virtual std::unique_ptr< IWorkload > CreateBatchToSpaceNd(const BatchToSpaceNdQueueDescriptor &descriptor, const WorkloadInfo &Info) const
void Accept(ILayerVisitor &visitor) const override
std::vector< std::pair< unsigned int, unsigned int > > m_Crops
The values to crop from the input dimension.
const TensorShape & GetShape() const
const TensorInfo & GetTensorInfo() const override
virtual void VisitBatchToSpaceNdLayer(const IConnectableLayer *layer, const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)=0
void ValidateTensorShapesFromInputs() override
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
std::vector< unsigned int > m_BlockShape
Block shape values.
const InputSlot & GetInputSlot(unsigned int index) const override