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#!/usr/bin/env python

from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time

vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000

rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print f.maker.fgraph.toposort()
t0 = time.time()
for i in range(iters):
    r = f() 
t1 = time.time()
print "Looping %d times took %f seconds" % (iters, t1 - t0) 
print "Result is %s" % r 
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
    print "Used the cpu"
else:
    print "Used the gpu"