[Run] Storing before testing main

main.py

 import dataloader
 import model
 import test
-import train
+from train import train
 import yaml
+import losses
+import models
 
 if __name__ == "__main__":
     config_file = open("config.yml")
@@ -27,11 +29,25 @@ if __name__ == "__main__":
         max_num_samples=max_num_samples,
     )
 
+    if use_cuda :
+        device = torch.device('cuda')
+    else :
+        device = toch.device('cpu')
+
     model = model.build_model(cfg, input_size)
 
+    f_loss = losses.RMSLE.RMSLE()
+
+    optimizer = models.choose_optimizer.optimizer(cfg)
+
+    train(model = model, loader = train_loader, f_loss = f_loss, optimizer = optimizer, device = device)
+
     
+
+    """
     logdir = generate_unique_logpath(top_logdir, "linear")
     print("Logging to {}".format(logdir))
     # -> Prints out     Logging to   ./logs/linear_1
     if not os.path.exists(logdir):
-        os.mkdir(logdir)
\ No newline at end of file
+        os.mkdir(logdir)
+    """
\ No newline at end of file