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From GitBox <...@apache.org>
Subject [GitHub] [incubator-mxnet] wuxun-zhang commented on a change in pull request #16184: Add large tensor nightly tests for MKL-DNN operators
Date Fri, 01 Nov 2019 04:39:45 GMT
wuxun-zhang 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_r341419961
 
 

 ##########
 File path: tests/nightly/test_large_array.py
 ##########
 @@ -210,8 +210,12 @@ def test_dot():
 def test_FullyConnected():
     a = nd.ones(shape=(LARGE_X, SMALL_Y))
     b = nd.ones(shape=(SMALL_Y, SMALL_Y))
-    res = nd.FullyConnected(a, b, num_hidden=b.shape[1], no_bias=True)
-    assert np.sum(res[-1].asnumpy() == SMALL_Y) == b.shape[1]
+    c = nd.ones(shape=(b.shape[0],))
+    res = nd.FullyConnected(a, b, num_hidden=b.shape[0], no_bias=True)
+    assert np.sum(res[-1].asnumpy() == a.shape[1]) == b.shape[0]
+
+    res = nd.FullyConnected(a, b, c, num_hidden=b.shape[0], no_bias=False)
 
 Review comment:
   Just want to cover `w/ bias` and `w/o bias`

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