dmet/ai-voice-cloning
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mrq 2023-02-28 01:08:07 +00:00
parent bc0d9ab3ed
commit fda47156ec
1 changed files with 3 additions and 3 deletions
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6
src/utils.py
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@ -543,7 +543,7 @@ class TrainingState():
print("Removing", path) print("Removing", path)
os.remove(path) os.remove(path)
def parse(self, line, verbose=False, buffer_size=8, progress=None ): def parse(self, line, verbose=False, buffer_size=8, keep_x_past_datasets=0, progress=None ):
self.buffer.append(f'{line}') self.buffer.append(f'{line}')
# rip out iteration info # rip out iteration info
@ -646,7 +646,7 @@ class TrainingState():
print(f'{"{:.3f}".format(percent*100)}% {message}') print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}') self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}')
self.cleanup_old() self.cleanup_old(keep=keep_x_past_datasets)
self.buffer = self.buffer[-buffer_size:] self.buffer = self.buffer[-buffer_size:]
if verbose or not self.training_started: if verbose or not self.training_started:
@ -668,7 +668,7 @@ def run_training(config_path, verbose=False, buffer_size=8, keep_x_past_datasets
for line in iter(training_state.process.stdout.readline, ""): for line in iter(training_state.process.stdout.readline, ""):
res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, progress=progress ) res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, keep_x_past_datasets=keep_x_past_datasets, progress=progress )
print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}") print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}")
if res: if res:
yield res yield res