roywei commented on a change in pull request #16900: introduce  gradient update 
handler to the  base estimator
URL: https://github.com/apache/incubator-mxnet/pull/16900#discussion_r350488360
 
 

 ##########
 File path: tests/python/unittest/test_gluon_estimator.py
 ##########
 @@ -332,39 +332,41 @@ def test_default_handlers():
     train_acc = mx.metric.RMSE()
     loss = gluon.loss.L2Loss()
 
+    gradient_update = GradientUpdateHandler()
     est = Estimator(net=net,
                     loss=loss,
                     metrics=train_acc,
                     trainer=trainer,
                     context=ctx)
-    # no handler(all default handlers), no warning
+    # no handler except gradient update handler (all default handlers), no 
warning
     with warnings.catch_warnings(record=True) as w:
-        est.fit(train_data=train_data, epochs=num_epochs)
+        est.fit(train_data=train_data, epochs=num_epochs, 
event_handlers=[gradient_update])
 
 Review comment:
   you don't need to add `gradient_update` here right? as it's added as a 
default handler?

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