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23 changes: 11 additions & 12 deletions src/llmcompressor/core/helpers.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@
conditional logging and parameter tracking.
"""

from typing import Any, Generator, Optional, Tuple, Union
from typing import Any, Generator

from llmcompressor.core.state import State
from llmcompressor.metrics import LoggerManager
Expand All @@ -21,7 +21,7 @@ def should_log_model_info(
model: Any,
loggers: LoggerManager,
current_log_step: float,
last_log_step: Optional[float] = None,
last_log_step: float | None = None,
) -> bool:
"""
Check if we should log model level info
Expand Down Expand Up @@ -65,9 +65,7 @@ def log_model_info(state: State, current_log_step):
)


def _log_current_step(
logger_manager: LoggerManager, current_log_step: Union[float, int]
):
def _log_current_step(logger_manager: LoggerManager, current_log_step: float | int):
"""
Log the Current Log Step to the logger_manager

Expand All @@ -80,7 +78,7 @@ def _log_current_step(

def _log_model_loggable_items(
logger_manager: LoggerManager,
loggable_items: Generator[Tuple[str, Any], None, None],
loggable_items: Generator[tuple[str, Any], None, None],
epoch: float,
):
"""
Expand All @@ -93,9 +91,10 @@ def _log_model_loggable_items(
"""
for loggable_item in loggable_items:
log_tag, log_value = loggable_item
if isinstance(log_value, dict):
logger_manager.log_scalars(tag=log_tag, values=log_value, step=epoch)
elif isinstance(log_value, (int, float)):
logger_manager.log_scalar(tag=log_tag, value=log_value, step=epoch)
else:
logger_manager.log_string(tag=log_tag, string=log_value, step=epoch)
match log_value:
case dict():
logger_manager.log_scalars(tag=log_tag, values=log_value, step=epoch)
case int() | float():
logger_manager.log_scalar(tag=log_tag, value=log_value, step=epoch)
case _:
logger_manager.log_string(tag=log_tag, string=log_value, step=epoch)