Medix-AI/coqui-tts
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coqui-tts
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fix stop condition

This commit is contained in:
Eren Golge 2019-09-24 15:38:28 +02:00
parent 7e5c20500b
commit e8d29613f1
1 changed files with 2 additions and 8 deletions
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10
layers/tacotron2.py
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@ -255,7 +255,6 @@ class Decoder(nn.Module):
outputs, stop_tokens, alignments, t = [], [], [], 0
stop_flags = [True, False, False]
stop_count = 0
while True:
memory = self.prenet(memory)
mel_output, stop_token, alignment = self.decode(memory)
@ -269,9 +268,7 @@ class Decoder(nn.Module):
and t > inputs.shape[1])
stop_flags[2] = t > inputs.shape[1] * 2
if all(stop_flags):
stop_count += 1
if stop_count > 20:
break
break
elif len(outputs) == self.max_decoder_steps:
print(" | > Decoder stopped with 'max_decoder_steps")
break
@ -298,7 +295,6 @@ class Decoder(nn.Module):
self.attention.init_states(inputs)
outputs, stop_tokens, alignments, t = [], [], [], 0
stop_flags = [True, False, False]
stop_count = 0
while True:
memory = self.prenet(self.memory_truncated)
mel_output, stop_token, alignment = self.decode(memory)
@ -312,9 +308,7 @@ class Decoder(nn.Module):
and t > inputs.shape[1])
stop_flags[2] = t > inputs.shape[1] * 2
if all(stop_flags):
stop_count += 1
if stop_count > 20:
break
break
elif len(outputs) == self.max_decoder_steps:
print(" | > Decoder stopped with 'max_decoder_steps")
break