Shape mismatch for mel input and decoder output

[JRMeyer]

>>> alchemi5t
[November 1, 2019, 5:41am]

slash
I was trying out the latest branch with the sound norm, and for some odd
reason, the mel_input and the decoder_output shapes don't match.
mel_inputs are exactly 3.5x larger than the decoder. Any ideas on how to
fix this?

RuntimeError: input and target shapes do not match: input [32 x 102 x 80], target [32 x 357 x 80] at /pytorch/aten/src/THCUNN/generic/MSECriterion.cu:12
RuntimeError: input and target shapes do not match: input [32 x 66 x 80], target [32 x 231 x 80] at /pytorch/aten/src/THCUNN/generic/MSECriterion.cu:12

[This is an archived TTS discussion thread from discourse.mozilla.org/t/shape-mismatch-for-mel-input-and-decoder-output]

[JRMeyer]

>>> alchemi5t
[November 1, 2019, 5:46am]

Nevermind, Figured it out. The problem was with the 'r' value set in
gradual training. I can't use r=7. I'll post here if i figure out why it
caused the problem.

[Archived Post]