#include "ConversionUtils.hpp"
#include <armnnUtils/Permute.hpp>

Include dependency graph for ConversionUtils.cpp:

Namespaces
	armnn_driver
	Helper classes.

Functions
bool	IsWeightsValid (const Operation &operation, uint32_t inputIndex, const Model &model)
	Utility functions. More...

ConstTensorPin	ConvertOperandToConstTensorPin (const Operand &operand, const Model &model, const ConversionData &data, const armnn::PermutationVector &dimensionMappings, const armnn::TensorShape overrideTensorShape, bool optional, const armnn::DataType overrideDataType)

LayerInputHandle	ConvertToLayerInputHandle (const Operation &operation, uint32_t inputIndex, const Model &model, ConversionData &data, const armnn::PermutationVector &dimensionMappings, const LayerInputHandle *inputHandle)

bool	ConvertPaddings (const Operation &operation, const Model &model, ConversionData &data, unsigned int rank, armnn::PadDescriptor &padDescriptor)

bool	ConvertPooling2d (const Operation &operation, const char *operationName, armnn::PoolingAlgorithm poolType, const Model &model, ConversionData &data)

bool	ConvertReduce (const Operation &operation, const Model &model, ConversionData &data, armnn::ReduceOperation reduceOperation)

bool	ConvertToActivation (const Operation &operation, const char *operationName, const armnn::ActivationDescriptor &activationDesc, const Model &model, ConversionData &data)

DequantizeResult	DequantizeIfRequired (size_t operand_index, const Operation &operation, const Model &model, const ConversionData &data)

ConstTensorPin	DequantizeAndMakeConstTensorPin (const Operation &operation, const Model &model, const ConversionData &data, size_t operandIndex, bool optional)

bool	GetInputPaddingScheme (const Operation &operation, uint32_t inputIndex, PaddingScheme &outPaddingScheme, const Model &model, const ConversionData &data)

const void *	GetOperandValueReadOnlyAddress (const Operand &operand, const Model &model, const ConversionData &data, bool optional)

bool	GetTensorInt32Values (const Operand &operand, std::vector< int32_t > &outValues, const Model &model, const ConversionData &data)

armnn::DataLayout	OptionalDataLayout (const Operation &operation, uint32_t inputIndex, const Model &model, ConversionData &data)

armnn::IConnectableLayer *	ProcessActivation (const armnn::TensorInfo &tensorInfo, ActivationFn activation, armnn::IConnectableLayer *prevLayer, ConversionData &data)

bool	SetupAndTrackLayerOutputSlot (const Operation &operation, uint32_t operationOutputIndex, armnn::IConnectableLayer &layer, uint32_t layerOutputIndex, const Model &model, ConversionData &data, const armnn::TensorInfo *overrideOutputInfo, const std::function< void(const armnn::TensorInfo &, bool &)> &validateFunc, const ActivationFn &activationFunction, bool inferOutputShapes)

bool	IsConnectedToDequantize (armnn::IOutputSlot *ioutputSlot)

Namespaces

Functions