As discussed in issue #8, the torch setup with use_expectations=False now behaves the same as for Tensorflow models.
Btw, I had to add num_samples-1 in the fraction as well, because the range(0, num_samples) now ranges from 0 to num_samples-1. I checked the output of the two model types and the output is now the same.
As discussed in issue #8, the torch setup with
use_expectations=False
now behaves the same as for Tensorflow models.Btw, I had to add
num_samples-1
in the fraction as well, because therange(0, num_samples)
now ranges from 0 tonum_samples-1
. I checked the output of the two model types and the output is now the same.