35 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
38 void Accept(ILayerVisitor& visitor)
const override;
~Pooling3dLayer()=default
Default destructor.
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Pooling3dLayer.
#define ARMNN_NO_DEPRECATE_WARN_BEGIN
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Pooling3d type.
Pooling3dLayer(const Pooling3dDescriptor ¶m, const char *name)
Constructor to create a Pooling3dLayer.
Copyright (c) 2021 ARM Limited and Contributors.
#define ARMNN_NO_DEPRECATE_WARN_END
This layer represents a pooling 3d operation.
A Pooling3dDescriptor for the Pooling3dLayer.
ARMNN_NO_DEPRECATE_WARN_BEGIN void Accept(ILayerVisitor &visitor) const override
Pooling3dLayer * 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.