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Resolve Python Logger warnings (#2379)

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Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
This commit is contained in:
Emmanuel Ferdman
2025-06-10 13:03:23 +03:00
committed by GitHub
parent d39836b8fa
commit 0d2f273402
3 changed files with 7 additions and 7 deletions
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6
GPT_SoVITS/AR/modules/optim.py
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@@ -354,7 +354,7 @@ class ScaledAdam(BatchedOptimizer):
if ans < 1.0:
first_state["num_clipped"] += 1
if ans < 0.1:
logging.warn(f"Scaling gradients by {ans}, model_norm_threshold={model_norm_threshold}")
logging.warning(f"Scaling gradients by {ans}, model_norm_threshold={model_norm_threshold}")
if self.show_dominant_parameters:
assert p.shape[0] == len(param_names)
self._show_gradient_dominating_parameter(tuples, tot_sumsq)
@@ -362,7 +362,7 @@ class ScaledAdam(BatchedOptimizer):
def _show_gradient_dominating_parameter(self, tuples: List[Tuple[Tensor, dict, List[str]]], tot_sumsq: Tensor):
"""
Show information of parameter wihch dominanting tot_sumsq.
Show information of parameter which dominating tot_sumsq.
Args:
tuples: a list of tuples of (param, state, param_names)
@@ -415,7 +415,7 @@ class ScaledAdam(BatchedOptimizer):
dominant_grad,
) = sorted_by_proportion[dominant_param_name]
logging.info(
f"Parameter Dominanting tot_sumsq {dominant_param_name}"
f"Parameter Dominating tot_sumsq {dominant_param_name}"
f" with proportion {dominant_proportion:.2f},"
f" where dominant_sumsq=(grad_sumsq*orig_rms_sq)"
f"={dominant_sumsq:.3e},"