Updated numpy as np

doc/hpcs2011_tutorial/pycuda_simple.py

 from __future__ import absolute_import, print_function, division
 import pycuda.autoinit
 import pycuda.driver as drv
-import numpy
+import numpy as np
 
 from pycuda.compiler import SourceModule
 mod = SourceModule("""
@@ -14,13 +14,13 @@ __global__ void multiply_them(float *dest, float *a, float *b)
 
 multiply_them = mod.get_function("multiply_them")
 
-a = numpy.random.randn(400).astype(numpy.float32)
-b = numpy.random.randn(400).astype(numpy.float32)
+a = np.random.randn(400).astype(np.float32)
+b = np.random.randn(400).astype(np.float32)
 
-dest = numpy.zeros_like(a)
+dest = np.zeros_like(a)
 multiply_them(
         drv.Out(dest), drv.In(a), drv.In(b),
         block=(400,1,1), grid=(1,1))
 
-assert numpy.allclose(dest, a*b)
+assert np.allclose(dest, a*b)
 print(dest)