Delete non_rectified_operation_test

tests/python/mkl/test_mkldnn.py

@@ -92,7 +92,7 @@ def __getitem__(self, key):
     # below line triggers different execution thread
     for _ in loader:
         y = net(mx.nd.array(np.ones(X))).asnumpy()
-        # output should be 016711406 (non-mkldnn mode output) 
+        # output should be 016711406 (non-mkldnn mode output)
         assert_almost_equal(y[0, 0, 0, 0], 0.016711406)
         break
 
@@ -256,25 +256,6 @@ def check_softmax_training(stype):
     for stype in stypes:
         check_softmax_training(stype)
 
-@with_seed()
-def test_SoftmaxOutput():
-    def check_SoftmaxOutput_training(stype):
-        for shape in [(10, 3)]:
-            data_tmp = np.random.normal(-0.1, 0.1, size=shape)
-            label_tmp = np.random.randint(2,size=shape[0])
-
-            data = mx.symbol.Variable('data', stype=stype)
-            label = mx.symbol.Variable('label',stype=stype)
-
-            in_location = [mx.nd.array(data_tmp).tostype(stype),mx.nd.array(label_tmp).tostype(stype)]
-
-            test = mx.symbol.SoftmaxOutput(data,label)
-            check_numeric_gradient(test, in_location, numeric_eps=1e-2,rtol=0.16, atol=1e-4)
-
-    stypes = ['row_sparse', 'default']
-    for stype in stypes:
-        check_SoftmaxOutput_training(stype)
-
 @with_seed()
 def test_pooling():
     def check_pooling_training(stype):