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In the e2e trainning mode of opencpop, skip_decoder is true and the decoder part is not trainned at all, right?
But in the inference, you still use run_decoder to get mel_out and use it as a start for q_sample, right?
Why run_decoder can also used here?
Is that why you use k=60 in cascade mode but k=1000 in e2e mode?
The text was updated successfully, but these errors were encountered:
In the e2e trainning mode of opencpop, skip_decoder is true and the decoder part is not trainned at all, right?
But in the inference, you still use run_decoder to get mel_out and use it as a start for q_sample, right?
Why run_decoder can also used here?
Is that why you use k=60 in cascade mode but k=1000 in e2e mode?
The text was updated successfully, but these errors were encountered: