apeforest commented on a change in pull request #16184: Add large tensor 
nightly tests for MKL-DNN operators
URL: https://github.com/apache/incubator-mxnet/pull/16184#discussion_r342922763
 
 

 ##########
 File path: tests/nightly/test_large_array.py
 ##########
 @@ -782,8 +801,30 @@ def test_activation():
 # in future, we could test if mean, var of output
 # matches target output's mean, var
 def test_batchnorm():
-    shape = (LARGE_X, SMALL_Y)
+    def get_ref_mean_var(data, running_mean, running_var, eps, 
use_global_status=True):
 
 Review comment:
   Why use ndarray to get_ref_mean_var? Wouldn't it be simpler and more correct 
to just implement it using numpy?

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