Hello,
I am not sure where to ask this, but here seem the most appropiate place.
I have a little question about the working of the Multiple GPUs; would it
be equally fast this option (the one in the example on the
http://deeplearning.net/software/theano/tutorial/using_multi_gpu.html):
import numpyimport theano
v01 = theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')v02 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')v11 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev1')v12 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev1')
f = theano.function([], [theano.tensor.dot(v01, v02),
theano.tensor.dot(v11, v12)])
f()
Or this one where I am using the same device for both dots:
import numpyimport theano
v01 = theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')v02 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')v11 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')v12 =
theano.shared(numpy.random.random((1024, 1024)).astype('float32'),
target='dev0')
f = theano.function([], [theano.tensor.dot(v01, v02),
theano.tensor.dot(v11, v12)])
f()
Thanks for your time
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