def shared_dataset_xy(self, data_xy, nlabels = 10, train = False, task="cls", borrow=True):
"""Load the data to the shared variables of Theano.
Copy for once the data to the shared memory on the GPU.
"""
data_x, data_y = data_xy
if (train) and (task=='cls'):
data_y = np.int32(self.labels(data_y, nlabels))
shared_x = theano.shared(
np.asarray(data_x, dtype = theano.config.floatX),
borrow=borrow)
shared_y = theano.shared (
np.asarray(data_y, dtype = theano.config.floatX),
borrow=borrow)
return shared_x, T.cast(shared_y, 'int32')
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