23.02
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12 class ScopedTensorHandle;
38 std::vector<TensorShape>
InferOutputShapes(
const std::vector<TensorShape>& inputShapes)
const override;
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of Convolution2dLayer.
~Convolution2dLayer()=default
Default destructor.
std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >> ConstantTensors
void ReleaseConstantData() override
This layer does not have any data stored, weights and bias are now stored in constant layers.
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the Convolution2d type.
Copyright (c) 2021 ARM Limited and Contributors.
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to 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,...
ConstantTensors GetConstantTensorsByRef() override
Retrieve the handles to the constant values connected to the layer.
A Convolution2dDescriptor for the Convolution2dLayer.
std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction
void SerializeLayerParameters(ParameterStringifyFunction &fn) const override
Helper to serialize the layer parameters to string.
This layer represents a convolution 2d operation.
Convolution2dLayer(const Convolution2dDescriptor ¶m, const char *name)
Constructor to create a Convolution2dLayer.
Convolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.