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_GstTensorTrainerProperties Struct Reference

GstTensorTrainer's properties for neural network framework (internal data structure) More...

#include <nnstreamer_plugin_api_trainer.h>

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Public Attributes

GstTensorsInfo input_meta
 
const char * model_config
 
const char * model_save_path
 
const char * model_load_path
 
unsigned int num_inputs
 
unsigned int num_labels
 
unsigned int num_training_samples
 
unsigned int num_validation_samples
 
unsigned int num_epochs
 
unsigned int epoch_count
 
double training_loss
 
double training_accuracy
 
double validation_loss
 
double validation_accuracy
 

Detailed Description

GstTensorTrainer's properties for neural network framework (internal data structure)

Internal data of GstTensorTrainer required by tensor_trainer's custom subplugin.

Definition at line 31 of file nnstreamer_plugin_api_trainer.h.

Member Data Documentation

◆ epoch_count

unsigned int _GstTensorTrainerProperties::epoch_count

Number of currently completed epochs

Definition at line 43 of file nnstreamer_plugin_api_trainer.h.

◆ input_meta

GstTensorsInfo _GstTensorTrainerProperties::input_meta

configured input tensor info

Definition at line 33 of file nnstreamer_plugin_api_trainer.h.

◆ model_config

const char* _GstTensorTrainerProperties::model_config

The configuration file path for creating model

Definition at line 34 of file nnstreamer_plugin_api_trainer.h.

◆ model_load_path

const char* _GstTensorTrainerProperties::model_load_path

The file path to load an existing model to use for training a new model

Definition at line 36 of file nnstreamer_plugin_api_trainer.h.

◆ model_save_path

const char* _GstTensorTrainerProperties::model_save_path

The file path to save the new model

Definition at line 35 of file nnstreamer_plugin_api_trainer.h.

◆ num_epochs

unsigned int _GstTensorTrainerProperties::num_epochs

The number of repetition of total training and validation sample. subplugin must receive total samples((num_training_samples + num_validation_samples) * num_epochs)

Definition at line 41 of file nnstreamer_plugin_api_trainer.h.

◆ num_inputs

unsigned int _GstTensorTrainerProperties::num_inputs

The number of input lists, the input is where framework receive the features to train the model, num_inputs indicates how many inputs there are.

Definition at line 37 of file nnstreamer_plugin_api_trainer.h.

◆ num_labels

unsigned int _GstTensorTrainerProperties::num_labels

The number of label lists, the label is where framework receive the class to train the model, num_labels indicates how many labels there are.

Definition at line 38 of file nnstreamer_plugin_api_trainer.h.

◆ num_training_samples

unsigned int _GstTensorTrainerProperties::num_training_samples

The number of training sample used to train the model.

Definition at line 39 of file nnstreamer_plugin_api_trainer.h.

◆ num_validation_samples

unsigned int _GstTensorTrainerProperties::num_validation_samples

The number of validation sample used to valid the model.

Definition at line 40 of file nnstreamer_plugin_api_trainer.h.

◆ training_accuracy

double _GstTensorTrainerProperties::training_accuracy

Training accuracy of the model being trained in the subplugin

Definition at line 45 of file nnstreamer_plugin_api_trainer.h.

◆ training_loss

double _GstTensorTrainerProperties::training_loss

Training loss of the model being trained in the subplugin

Definition at line 44 of file nnstreamer_plugin_api_trainer.h.

◆ validation_accuracy

double _GstTensorTrainerProperties::validation_accuracy

Validation accuracy of the model being trained in the subplugin

Definition at line 47 of file nnstreamer_plugin_api_trainer.h.

◆ validation_loss

double _GstTensorTrainerProperties::validation_loss

Validation loss of the model being trained in the subplugin

Definition at line 46 of file nnstreamer_plugin_api_trainer.h.

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