34 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
~Pooling2dLayer()=default
Default destructor.
Pooling2dLayer(const Pooling2dDescriptor ¶m, const char *name)
Constructor to create a Pooling2dLayer.
Copyright (c) 2020 ARM Limited.
void Accept(ILayerVisitor &visitor) const override
Apply a visitor to this layer.
Pooling2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
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.
This layer represents a pooling 2d operation.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Pooling2dLayer.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Pooling2d type.
A Pooling2dDescriptor for the Pooling2dLayer.