change predict to be the same in staging

utils_nlp/models/transformers/common.py

@@ -261,16 +261,11 @@ class Transformer:
     def predict(self, eval_dataloader, get_inputs, n_gpu=1, verbose=True, move_batch_to_device=None):
         device, num_gpus = get_device(num_gpus=n_gpu, local_rank=-1)
 
+        if isinstance(self.model, torch.nn.DataParallel):
+            self.model = self.model.module
+
         if num_gpus > 1:
-            if not isinstance(self.model, torch.nn.DataParallel):
-                self.model = torch.nn.DataParallel(self.model, device_ids=range(0,num_gpus))
-            else:
-                # make sure the prediction can switch between different numbers of multiple gpus
-                self.model = self.model.module
-                self.model = torch.nn.DataParallel(self.model, device_ids=range(0,num_gpus))
-        else:
-            if isinstance(self.model, torch.nn.DataParallel):
-                self.model = self.model.module
+            self.model = torch.nn.DataParallel(self.model, device_ids=list(range(num_gpus)))
 
         self.model.to(device)
         self.model.eval()