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gh-10 --- and numpy tests in general --- is a heavy user of numpy.random. So random need to prioritize replicating it.
Luckily, it is mostly old-style API, so pytorch replacements are mostly available.
Will need at least from numpy.random import rand, randint, randn, shuffle, choice.
The text was updated successfully, but these errors were encountered:
gh-10 --- and numpy tests in general --- is a heavy user of
numpy.random
. So random need to prioritize replicating it.Luckily, it is mostly old-style API, so pytorch replacements are mostly available.
Will need at least
from numpy.random import rand, randint, randn, shuffle, choice
.The text was updated successfully, but these errors were encountered: