srush / Tensor-Puzzles

Solve puzzles. Improve your pytorch.

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Problem with `where` function

zarif98sjs opened this issue · comments

Shouldn't the where function be this?

def where(q, a, b):
    "Use this function to replace an if-statement."
    return (q * a) + (torch.logical_not(q)) * b

Otherwise if we use ~q, technically isn't that incorrect according to the desired function outcome?

If we used ~q,
where(arange(4) * 0, 0, 1) returns tensor([-1, -1, -1, -1]).
But the desired output should be tensor([1, 1, 1, 1])

I agree. ~ is bitwise NOT. So the behavior is unexpected if q is a list of integers.

Oops, will fix if I do a new version.

Ah, nice! When creating the issue I was wondering why nobody noticed all these years 😅 Can send a PR if you want

no I should just do a v2 this summer. lots of small fixes abound