Prior or encoder Loss

[epii2zero]

Thank you for nice work!

I have a question about encoder loss In paper they used MSE for encoder loss (section 3.1)

but in this implementation, use different loss https://github.com/p0p4k/pflowtts_pytorch/blob/297166f518263b2822f52918f86f7d27fa72fe8b/pflow/models/pflow_tts.py#L179C9-L180C74

I think this loss came from Matcha-TTS codes Is this intentional?

Thank you!

[p0p4k]

Essentially it is the same loss, scaled. (at a constant variance of 1, gaussian nle becomes mse)

[epii2zero]

Oh I see, thank you for reply