replace print with algo_log

MI/Algorithm/conformer_2class_cpu.py

@@ -22,6 +22,7 @@ from einops import rearrange
 from einops.layers.torch import Rearrange, Reduce
 from torch.backends import cudnn
 from sklearn.model_selection import train_test_split
+from logs.log import algo_log
 # writer = SummaryWriter('./TensorBoardX/')
 
 
@@ -190,7 +191,7 @@ class ExP():
         # 自动选择设备：有 GPU 用 GPU，否则用 CPU
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         # self.device = torch.device("cpu")
-        print(f"Using device: {self.device}")
+        algo_log(f"Using device: {self.device}", level="debug")
 
         # 定义张量类型（不再强制使用 cuda）
         self.Tensor = torch.FloatTensor