[Time Series] use mean scaler when scaling is a boolean True (#24237)

* use mean scaler when scaling is boolean True

* remove debug

src/transformers/models/autoformer/modeling_autoformer.py

@@ -1495,7 +1495,7 @@ class AutoformerModel(AutoformerPreTrainedModel):
     def __init__(self, config: AutoformerConfig):
         super().__init__(config)
 
-        if config.scaling == "mean" or config.scaling:
+        if config.scaling == "mean" or config.scaling is True:
             self.scaler = AutoformerMeanScaler(dim=1, keepdim=True)
         elif config.scaling == "std":
             self.scaler = AutoformerStdScaler(dim=1, keepdim=True)

src/transformers/models/informer/modeling_informer.py

@@ -1504,7 +1504,7 @@ class InformerModel(InformerPreTrainedModel):
     def __init__(self, config: InformerConfig):
         super().__init__(config)
 
-        if config.scaling == "mean" or config.scaling:
+        if config.scaling == "mean" or config.scaling is True:
             self.scaler = InformerMeanScaler(dim=1, keepdim=True)
         elif config.scaling == "std":
             self.scaler = InformerStdScaler(dim=1, keepdim=True)

src/transformers/models/time_series_transformer/modeling_time_series_transformer.py

@@ -1229,7 +1229,7 @@ class TimeSeriesTransformerModel(TimeSeriesTransformerPreTrainedModel):
     def __init__(self, config: TimeSeriesTransformerConfig):
         super().__init__(config)
 
-        if config.scaling == "mean" or config.scaling:
+        if config.scaling == "mean" or config.scaling is True:
             self.scaler = TimeSeriesMeanScaler(dim=1, keepdim=True)
         elif config.scaling == "std":
             self.scaler = TimeSeriesStdScaler(dim=1, keepdim=True)