Last active
January 7, 2020 11:05
-
-
Save orasik/464a1f5df95ae148a4add1ae35afd58e to your computer and use it in GitHub Desktop.
Code to test if theano is using GPU or CPU
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Code to test if theano is using GPU or CPU | |
# Reference: https://stackoverflow.com/questions/34328467/how-can-i-use-my-gpu-on-ipython-notebook | |
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() | |
# if you're using Python3, rename `xrange` to `range` in the following line | |
for i in xrange(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') |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment