ride.logging

Module Contents

Classes

ResultsLogger

Functions

singleton_experiment_logger(→ ExperimentLoggerCreator)
fig2img(fig)	Convert a Matplotlib figure to a PIL Image and return it
add_experiment_logger(...)
get_log_dir(module)
log_figures(module, d)

Attributes

logger
ExperimentLogger
ExperimentLoggerCreator
experiment_logger
StepOutputs

ride.logging.logger

ride.logging.ExperimentLogger

ride.logging.ExperimentLoggerCreator

ride.logging.singleton_experiment_logger() → ExperimentLoggerCreator

ride.logging.experiment_logger

ride.logging.fig2img(fig)

Convert a Matplotlib figure to a PIL Image and return it

ride.logging.add_experiment_logger(prev_logger: pytorch_lightning.loggers.LightningLoggerBase, new_logger: pytorch_lightning.loggers.LightningLoggerBase) → pytorch_lightning.loggers.LoggerCollection

ride.logging.get_log_dir(module: pytorch_lightning.LightningModule)

ride.logging.log_figures(module: pytorch_lightning.LightningModule, d: ride.metrics.FigureDict)

class ride.logging.ResultsLogger(prefix='test', save_to: str = None)

Bases: pytorch_lightning.loggers.LightningLoggerBase

property experiment

property save_dir: Optional[str]

property name

property version

_fix_name_perfix(s: str, replace='test/') → str

log_hyperparams(params)

log_metrics(metrics: Dict, step)

log_figure(tag: str, fig: matplotlib.figure.Figure)

finalize(status)

ride.logging.StepOutputs