SqueezeBrains SDK 1.13
sb_cs::SbSvlPar Class Reference

Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure More...

#include <cs_par.h>

Collaboration diagram for sb_cs::SbSvlPar:

Data Fields

String project_path
 Path of the project, where the SVL will find the images. More...
 
String image_ext
 Extensions of the images. More...
 
float free_memory_percentage
 Percentage of system memory that the svl tries to leave free. More...
 
int num_threads
 Maximum number of OpenMP threads that SVL can use. More...
 
int reproducibility
 Enable the reproducibility of the training. More...
 
SbImageCircularityType image_circularity_type
 Image circularity type. More...
 
SbDevicesPar devices
 Devices used for training. More...
 
SbSvlSlPar sl
 Shallow Learning modules parameters. More...
 
SbSvlDlPar dl
 Deep Learning modules parameters. More...
 
sb_fp_svl_progress fp_progress
 The SVL calls this callback to notify the user the results of SVL. More...
 
sb_fp_svl_command fp_command
 Callback called by SVL to allow the user to decide how to continue when particular situations happen, see sb_t_svl_stop_reason . More...
 
void * user_data
 Pointer to data which is passed to the callbacks. More...
 

Detailed Description

Svl parameters (not used at the moment) that wraps the sb_t_svl_par structure

Definition at line 577 of file cs_par.h.

Field Documentation

◆ devices

SbDevicesPar sb_cs::SbSvlPar::devices

Devices used for training.

See also
sb_t_svl_par::devices

Definition at line 615 of file cs_par.h.

◆ dl

SbSvlDlPar sb_cs::SbSvlPar::dl

Deep Learning modules parameters.

See also
sb_t_svl_par::dl

Definition at line 625 of file cs_par.h.

◆ fp_command

sb_fp_svl_command sb_cs::SbSvlPar::fp_command

Callback called by SVL to allow the user to decide how to continue when particular situations happen, see sb_t_svl_stop_reason .

See also
SVL Callbacks

Definition at line 641 of file cs_par.h.

◆ fp_progress

sb_fp_svl_progress sb_cs::SbSvlPar::fp_progress

The SVL calls this callback to notify the user the results of SVL.

See also
SVL Callbacks

Definition at line 636 of file cs_par.h.

◆ free_memory_percentage

float sb_cs::SbSvlPar::free_memory_percentage

Percentage of system memory that the svl tries to leave free.

See also
sb_t_svl_par::free_memory_percentage

Definition at line 595 of file cs_par.h.

◆ image_circularity_type

SbImageCircularityType sb_cs::SbSvlPar::image_circularity_type

Image circularity type.

See also
sb_t_svl_par::image_circularity_type

Definition at line 610 of file cs_par.h.

◆ image_ext

String sb_cs::SbSvlPar::image_ext

Extensions of the images.

See also
sb_t_svl_par::image_ext

Definition at line 590 of file cs_par.h.

◆ num_threads

int sb_cs::SbSvlPar::num_threads

Maximum number of OpenMP threads that SVL can use.

See also
sb_t_svl_par::num_threads

Definition at line 600 of file cs_par.h.

◆ project_path

String sb_cs::SbSvlPar::project_path

Path of the project, where the SVL will find the images.

See also
sb_t_svl_par::user_data

Definition at line 585 of file cs_par.h.

◆ reproducibility

int sb_cs::SbSvlPar::reproducibility

Enable the reproducibility of the training.

See also
sb_t_svl_par::reproducibility

Definition at line 605 of file cs_par.h.

◆ sl

SbSvlSlPar sb_cs::SbSvlPar::sl

Shallow Learning modules parameters.

See also
sb_t_svl_par::sl

Definition at line 620 of file cs_par.h.

◆ user_data

void* sb_cs::SbSvlPar::user_data

Pointer to data which is passed to the callbacks.

See also
SVL Callbacks

Definition at line 646 of file cs_par.h.


The documentation for this class was generated from the following file: