theano not using GPU about source-separation-wavenet

[HelloEgg]

Figured it out.

make sure tensorflow-gpu is installed..

pip list | grep tensorflow-gpu can confirm its existence.

Furthermore, refer to link below for requirements for theano 1.0.1 just in case.

http://deeplearning.net/software/theano/requirements.html

You can check if theano is using gpu with the following python code :

##################### start code
from theano import function, config, shared, tensor
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([], tensor.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, tensor.Elemwise) and
('Gpu' not in type(x.op).name)
for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')

########################### end code
And run
THEANO_FLAGS=device=cuda python test.py