From 0d2f2734024ccd1c44aead7608214b924bffbebe Mon Sep 17 00:00:00 2001
From: Emmanuel Ferdman <emmanuelferdman@gmail.com>
Date: Tue, 10 Jun 2025 13:03:23 +0300
Subject: [PATCH] Resolve Python Logger warnings (#2379)

Signed-off-by: Emmanuel Ferdman <emmanuelferdman@gmail.com>
---
 GPT_SoVITS/AR/modules/optim.py | 6 +++---
 GPT_SoVITS/utils.py            | 4 ++--
 api.py                         | 4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/GPT_SoVITS/AR/modules/optim.py b/GPT_SoVITS/AR/modules/optim.py
index aeebbee..fb87848 100644
--- a/GPT_SoVITS/AR/modules/optim.py
+++ b/GPT_SoVITS/AR/modules/optim.py
@@ -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},"
diff --git a/GPT_SoVITS/utils.py b/GPT_SoVITS/utils.py
index 14955fd..08e1838 100644
--- a/GPT_SoVITS/utils.py
+++ b/GPT_SoVITS/utils.py
@@ -283,7 +283,7 @@ def get_hparams_from_file(config_path):
 def check_git_hash(model_dir):
     source_dir = os.path.dirname(os.path.realpath(__file__))
     if not os.path.exists(os.path.join(source_dir, ".git")):
-        logger.warn(
+        logger.warning(
             "{} is not a git repository, therefore hash value comparison will be ignored.".format(
                 source_dir,
             )
@@ -296,7 +296,7 @@ def check_git_hash(model_dir):
     if os.path.exists(path):
         saved_hash = open(path).read()
         if saved_hash != cur_hash:
-            logger.warn(
+            logger.warning(
                 "git hash values are different. {}(saved) != {}(current)".format(
                     saved_hash[:8],
                     cur_hash[:8],
diff --git a/api.py b/api.py
index 164a1f1..7354ff7 100644
--- a/api.py
+++ b/api.py
@@ -1071,10 +1071,10 @@ default_refer = DefaultRefer(args.default_refer_path, args.default_refer_text, a
 # 模型路径检查
 if sovits_path == "":
     sovits_path = g_config.pretrained_sovits_path
-    logger.warn(f"未指定SoVITS模型路径, fallback后当前值: {sovits_path}")
+    logger.warning(f"未指定SoVITS模型路径, fallback后当前值: {sovits_path}")
 if gpt_path == "":
     gpt_path = g_config.pretrained_gpt_path
-    logger.warn(f"未指定GPT模型路径, fallback后当前值: {gpt_path}")
+    logger.warning(f"未指定GPT模型路径, fallback后当前值: {gpt_path}")
 
 # 指定默认参考音频, 调用方 未提供/未给全 参考音频参数时使用
 if default_refer.path == "" or default_refer.text == "" or default_refer.language == "":