Updated numpy as np

doc/tutorial/profiling_example.py

 from __future__ import absolute_import, print_function, division
-import numpy
+import numpy as np
 
 import theano
 
 x, y, z = theano.tensor.vectors('xyz')
 f = theano.function([x, y, z], [(x + y + z) * 2])
-xv = numpy.random.rand(10).astype(theano.config.floatX)
-yv = numpy.random.rand(10).astype(theano.config.floatX)
-zv = numpy.random.rand(10).astype(theano.config.floatX)
+xv = np.random.rand(10).astype(theano.config.floatX)
+yv = np.random.rand(10).astype(theano.config.floatX)
+zv = np.random.rand(10).astype(theano.config.floatX)
 f(xv, yv, zv)