diff --git a/learnware/market/heterogeneous/organizer/hetero_map/__init__.py b/learnware/market/heterogeneous/organizer/hetero_map/__init__.py
index dc3b90e..37b5d3e 100644
--- a/learnware/market/heterogeneous/organizer/hetero_map/__init__.py
+++ b/learnware/market/heterogeneous/organizer/hetero_map/__init__.py
@@ -274,9 +274,7 @@ class HeteroMap(nn.Module):
         if isinstance(x, pd.DataFrame):
             inputs = self.feature_tokenizer(x)
         elif isinstance(x, torch.Tensor):
-            logger.info(f"extract features, input device:{x.device}")
             inputs = self.feature_tokenizer.forward(cols, x)
-            logger.info(f"extract features, output device:{inputs['x_num'].device}")
         else:
             raise ValueError(f"feature_tokenizer takes inputs with dict or pd.DataFrame, find {type(x)}.")