Liker/ai-voice-cloning
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when you have three separate machines running and you test one one, but you accidentally revert changes because you then test on another

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mrq 2023-03-09 03:26:18 +00:00
parent ef75dba995
commit 3b4f4500d1
1 changed files with 5 additions and 2 deletions
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7
src/utils.py
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@ -1149,7 +1149,7 @@ def prepare_dataset( files, outdir, language=None, skip_existings=False, progres
continue continue
if match[0] not in previous_list: if match[0] not in previous_list:
previous_list.append(f'{match[0]}.wav') previous_list.append(f'{match[0].split("/")[-1]}.wav')
for file in enumerate_progress(files, desc="Iterating through voice files", progress=progress): for file in enumerate_progress(files, desc="Iterating through voice files", progress=progress):
basename = os.path.basename(file) basename = os.path.basename(file)
@ -1257,12 +1257,13 @@ def optimize_training_settings( **kwargs ):
settings['batch_size'] = lines settings['batch_size'] = lines
messages.append(f"Batch size is larger than your dataset, clamping batch size to: {settings['batch_size']}") messages.append(f"Batch size is larger than your dataset, clamping batch size to: {settings['batch_size']}")
"""
if lines % settings['batch_size'] != 0: if lines % settings['batch_size'] != 0:
settings['batch_size'] = int(lines / settings['batch_size']) settings['batch_size'] = int(lines / settings['batch_size'])
if settings['batch_size'] == 0: if settings['batch_size'] == 0:
settings['batch_size'] = 1 settings['batch_size'] = 1
messages.append(f"Batch size not neatly divisible by dataset size, adjusting batch size to: {settings['batch_size']}") messages.append(f"Batch size not neatly divisible by dataset size, adjusting batch size to: {settings['batch_size']}")
"""
if settings['gradient_accumulation_size'] == 0: if settings['gradient_accumulation_size'] == 0:
settings['gradient_accumulation_size'] = 1 settings['gradient_accumulation_size'] = 1
@ -1399,6 +1400,8 @@ def save_training_settings( **kwargs ):
if settings['gpus'] > get_device_count(): if settings['gpus'] > get_device_count():
settings['gpus'] = get_device_count() settings['gpus'] = get_device_count()
settings['optimizer'] = 'adamw' if settings['gpus'] == 1 else 'adamw_zero'
LEARNING_RATE_SCHEMES = ["MultiStepLR", "CosineAnnealingLR_Restart"] LEARNING_RATE_SCHEMES = ["MultiStepLR", "CosineAnnealingLR_Restart"]
if 'learning_rate_scheme' not in settings or settings['learning_rate_scheme'] not in LEARNING_RATE_SCHEMES: if 'learning_rate_scheme' not in settings or settings['learning_rate_scheme'] not in LEARNING_RATE_SCHEMES:
settings['learning_rate_scheme'] = LEARNING_RATE_SCHEMES[0] settings['learning_rate_scheme'] = LEARNING_RATE_SCHEMES[0]