Detailed Description

This structure define the parameters CNN/Deep learning net in TIDL.

Data Fields
int32_t	netVersion

int32_t	numLayers

int32_t	weightsElementSize

int32_t	slopeElementSize

int32_t	biasElementSize

int32_t	dataElementSize

int32_t	interElementSize

int32_t	quantizationStyle

int32_t	dataFlowInfo

int32_t	isQuantStatsAvailable

int32_t	reserved

sTIDL_Layer_t	TIDLLayers [TIDL_NUM_MAX_LAYERS]

Field Documentation

◆ netVersion

int32_t sTIDL_Network_t::netVersion

Version Number for TIDl net format

◆ numLayers

int32_t sTIDL_Network_t::numLayers

Number of layers in the network including the input and output data Layers

◆ weightsElementSize

int32_t sTIDL_Network_t::weightsElementSize

Size of compute layer weight parameters in bytes

◆ slopeElementSize

int32_t sTIDL_Network_t::slopeElementSize

Size of PRelU layer weight/slope parameters in bytes

◆ biasElementSize

int32_t sTIDL_Network_t::biasElementSize

Size of compute layer Bias parameters in bytes

◆ dataElementSize

int32_t sTIDL_Network_t::dataElementSize

Size of compute layer input and data buffers in bytes

◆ interElementSize

int32_t sTIDL_Network_t::interElementSize

Size of compute layer intermediate data in bytes

◆ quantizationStyle

int32_t sTIDL_Network_t::quantizationStyle

Variable to indicate different types of quantization Styles

◆ dataFlowInfo

int32_t sTIDL_Network_t::dataFlowInfo

dataFlow Info from offline Analysis

◆ isQuantStatsAvailable

int32_t sTIDL_Network_t::isQuantStatsAvailable

Quantization statistics availability - Updated with tidl_quant_stats_tool

◆ reserved

int32_t sTIDL_Network_t::reserved

Reserved Parameters

◆ TIDLLayers

sTIDL_Layer_t sTIDL_Network_t::TIDLLayers[TIDL_NUM_MAX_LAYERS]

Layer Parameter for each layer