diff --git a/utils/generic_utils.py b/utils/generic_utils.py
index c58efd75..18968d9d 100644
--- a/utils/generic_utils.py
+++ b/utils/generic_utils.py
@@ -123,16 +123,13 @@ def save_best_model(model, optimizer, model_loss, best_loss, out_path,
     return best_loss
 
 
-def check_update(model, grad_clip, grad_top):
+def check_update(model, grad_clip):
     r'''Check model gradient against unexpected jumps and failures'''
     skip_flag = False
     grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), grad_clip)
     if np.isinf(grad_norm):
         print(" | > Gradient is INF !!")
         skip_flag = True
-    elif grad_norm > grad_top:
-        print(" | > Gradient is above the top limit !!")
-        skip_flag = True
     return grad_norm, skip_flag