add torch.no_grad when in eval mode (#17020)

* add torch.no_grad when in eval mode

* make style quality

examples/pytorch/image-classification/run_image_classification_no_trainer.py

@@ -469,7 +469,8 @@ def main():
         model.eval()
         samples_seen = 0
         for step, batch in enumerate(eval_dataloader):
-            outputs = model(**batch)
+            with torch.no_grad():
+                outputs = model(**batch)
             predictions = outputs.logits.argmax(dim=-1)
             predictions, references = accelerator.gather((predictions, batch["labels"]))
             # If we are in a multiprocess environment, the last batch has duplicates