Fix up since rebase.

theano/gpuarray/tests/test_dnn.py

@@ -1568,10 +1568,10 @@ def test_without_dnn_batchnorm_train_without_running_averages():
     assert any([isinstance(n.op, dnn.GpuElemwise)
                 for n in f_abstract.maker.fgraph.toposort()])
     # run
-    X = 4 + 3 * numpy.random.randn(*data_shape).astype(theano.config.floatX)
-    Dy = -1 + 2 * numpy.random.randn(*data_shape).astype(theano.config.floatX)
-    Scale = numpy.random.randn(*param_shape).astype(theano.config.floatX)
-    Bias = numpy.random.randn(*param_shape).astype(theano.config.floatX)
+    X = 4 + 3 * np.random.randn(*data_shape).astype(theano.config.floatX)
+    Dy = -1 + 2 * np.random.randn(*data_shape).astype(theano.config.floatX)
+    Scale = np.random.randn(*param_shape).astype(theano.config.floatX)
+    Bias = np.random.randn(*param_shape).astype(theano.config.floatX)
     f_abstract(X, Scale, Bias, Dy)