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What does this PR do?
PR #24434 changes
np.random.uniform(0, 1)
totorch.rand([])
. In the forward method ofSpeechT5ForSpeechToSpeech
andSpeechT5ForTextToSpeech
, the linedropout_probability = torch.rand([])
is executed no matter if we are in training/inference mode. So the new change in #24434 will change the random sequences even we set a seed in the beginning ofgenerate
, and we get different outputs now.Hence this PR updates the expected values for doctest.
However, I believe we should only call
dropout_probability = torch.rand([])
under the condition of being in training mode.WDYT?