def get_loggers(self) -> Dict[str, ILogger]:
"""Returns the logger for a run."""
loggers = self._loggers or {}
is_logger_exists = lambda logger_fn: any(
isinstance(x, logger_fn) for x in loggers.values())
if not is_logger_exists(ConsoleLogger):
loggers["_console"] = ConsoleLogger()
if self._logdir is not None and not is_logger_exists(CSVLogger):
loggers["_csv"] = CSVLogger(logdir=self._logdir)
if self._logdir is not None and not is_logger_exists(
TensorboardLogger):
loggers["_tensorboard"] = TensorboardLogger(
logdir=os.path.join(self._logdir, "tensorboard"))
return loggers
def get_loggers(self) -> Dict[str, ILogger]:
"""Returns the loggers for the experiment."""
loggers = self._loggers or {}
logger_exists = lambda logger_fn: any(
isinstance(x, logger_fn) for x in loggers.values()
)
if not logger_exists(ConsoleLogger):
loggers["_console"] = ConsoleLogger()
if self._logdir is not None and not logger_exists(CSVLogger):
# @TODO: remove postfix
loggers["_csv"] = CSVLogger(logdir=self._logdir, use_logdir_postfix=True)
if self._logdir is not None and not logger_exists(TensorboardLogger):
# @TODO: remove postfix
loggers["_tensorboard"] = TensorboardLogger(
logdir=self._logdir, use_logdir_postfix=True
)
return loggers
def get_loggers(self) -> Dict[str, ILogger]:
"""Returns the loggers for the run."""
loggers_params = self._config.get("loggers", {})
loggers = REGISTRY.get_from_params(**loggers_params)
is_logger_exists = lambda logger_fn: any(
isinstance(x, logger_fn) for x in loggers.values())
if not is_logger_exists(ConsoleLogger):
loggers["_console"] = ConsoleLogger()
if self._logdir is not None and not is_logger_exists(CSVLogger):
loggers["_csv"] = CSVLogger(logdir=self._logdir,
use_logdir_postfix=True)
if self._logdir is not None and not is_logger_exists(
TensorboardLogger):
loggers["_tensorboard"] = TensorboardLogger(
logdir=self._logdir, use_logdir_postfix=True)
return loggers
def get_loggers(self) -> Dict[str, ILogger]:
"""Returns the loggers for the run."""
loggers_params = self._config.loggers or {}
loggers = {key: hydra.utils.instantiate(params) for key, params in loggers_params.items()}
is_logger_exists = lambda logger_fn: any(
isinstance(x, logger_fn) for x in loggers.values()
)
if not is_logger_exists(ConsoleLogger):
loggers["_console"] = ConsoleLogger()
if self._logdir is not None and not is_logger_exists(CSVLogger):
loggers["_csv"] = CSVLogger(logdir=self._logdir, use_logdir_postfix=True)
if self._logdir is not None and not is_logger_exists(TensorboardLogger):
loggers["_tensorboard"] = TensorboardLogger(
logdir=self._logdir, use_logdir_postfix=True
)
return loggers
def get_loggers(self) -> Dict[str, ILogger]:
"""Returns the loggers for the run."""
loggers_params = self._config.get("loggers", {})
loggers = {
key: REGISTRY.get_from_params(**params)
for key, params in loggers_params.items()
}
is_logger_exists = lambda logger_fn: any(
isinstance(x, logger_fn) for x in loggers.values())
if not is_logger_exists(ConsoleLogger):
loggers["_console"] = ConsoleLogger()
if self._logdir is not None and not is_logger_exists(CSVLogger):
loggers["_csv"] = CSVLogger(logdir=self._logdir)
if self._logdir is not None and not is_logger_exists(
TensorboardLogger):
loggers["_tensorboard"] = TensorboardLogger(
logdir=os.path.join(self._logdir, "tensorboard"))
return loggers
