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Bug in gradient of fft.rfft #969

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ricardoV94 opened this issue Aug 12, 2024 · 0 comments · Fixed by #979

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ricardoV94 commented Aug 12, 2024 •

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Reported in https://discourse.pymc.io/t/cannot-drop-a-non-broadcastable-dimension-and-rfft/14920

import pytensor.tensor as pt
from pytensor.tensor import fft

p = pt.vector("p", shape=(4,))
out = fft.rfft(p[None, :])
pt.grad(out.sum(), p)   # Cannot drop a non-broadcastable dimension: (False, False), [1]

ricardoV94 added bug gradients labels

ricardoV94 mentioned this issue

Dimshuffle does not need input broadcastable info #979

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ricardoV94 closed this as completed in #979

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