from theano import function, config, shared, tensor
import numpy
import time
def test_if_using_GPU(verbose=False):
dtype = config.floatX # @UndefinedVariable
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 100
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), dtype))
f = function([], tensor.exp(x))
# print(f.maker.fgraph.toposort())
t0 = time.time()
for _ in range(iters):
r = f()
t1 = time.time()
dur = t1 - t0
if verbose:
print("Looping %d times took %f seconds" % (iters, dur))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, tensor.Elemwise) and
('Gpu' not in type(x.op).__name__)
for x in f.maker.fgraph.toposort()]):
print('Using the cpu')
return False
else:
print('Using the gpu')
return True
