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Logger¤

Module: generative_models.utils.logging.logger

Source: generative_models/utils/logging/logger.py

Overview¤

Base logger interface for Workshop.

This module provides a base logger class for logging training progress, metrics, and other information during model training and evaluation.

Classes¤

ConsoleLogger¤

class ConsoleLogger

FileLogger¤

class FileLogger

Logger¤

class Logger

Functions¤

init¤

def __init__()

init¤

def __init__()

close¤

def close()

create_logger¤

def create_logger()

critical¤

def critical()

debug¤

def debug()

error¤

def error()

info¤

def info()

log¤

def log()

log_histogram¤

def log_histogram()

log_histogram¤

def log_histogram()

log_histogram¤

def log_histogram()

log_hyperparams¤

def log_hyperparams()

log_hyperparams¤

def log_hyperparams()

log_hyperparams¤

def log_hyperparams()

log_image¤

def log_image()

log_image¤

def log_image()

log_image¤

def log_image()

log_scalar¤

def log_scalar()

log_scalar¤

def log_scalar()

log_scalar¤

def log_scalar()

log_scalars¤

def log_scalars()

log_scalars¤

def log_scalars()

log_scalars¤

def log_scalars()

log_text¤

def log_text()

log_text¤

def log_text()

log_text¤

def log_text()

warning¤

def warning()

Module Statistics¤

  • Classes: 3
  • Functions: 28
  • Imports: 13