29 using INetworkQuantizerPtr = std::unique_ptr<class INetworkQuantizer, void(*)(INetworkQuantizer* quantizer)>;
45 virtual void OverrideInputRange(
LayerBindingId layerId,
float min,
float max) = 0;
48 virtual void Refine(
const InputTensors& inputTensors) = 0;
DataType m_ActivationFormat
std::unique_ptr< class INetworkQuantizer, void(*)(INetworkQuantizer *quantizer)> INetworkQuantizerPtr
Main network class which provides the interface for building up a neural network. ...
std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors
QuantizerOptions(DataType activationFormat)
Copyright (c) 2020 ARM Limited.
int LayerBindingId
Type of identifiers for bindable layers (inputs, outputs).
QuantizerOptions(DataType activationFormat, bool preserveType)
virtual ~INetworkQuantizer()
std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr
Quantizer class Quantizes a float32 InputNetwork.
armnn::Runtime::CreationOptions::ExternalProfilingOptions options