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Update train_diff.py

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Stardust·减 2023-07-22 22:04:44 +08:00 committed by GitHub
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commit 12a3ba587e
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1 changed files with 4 additions and 4 deletions
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train_diff.py
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@ -8,7 +8,7 @@ from diffusion.logger import utils
from diffusion.solver import train from diffusion.solver import train
from diffusion.unit2mel import Unit2Mel from diffusion.unit2mel import Unit2Mel
from diffusion.vocoder import Vocoder from diffusion.vocoder import Vocoder
from loguru import logger
def parse_args(args=None, namespace=None): def parse_args(args=None, namespace=None):
"""Parse command-line arguments.""" """Parse command-line arguments."""
@ -28,8 +28,8 @@ if __name__ == '__main__':
# load config # load config
args = utils.load_config(cmd.config) args = utils.load_config(cmd.config)
print(' > config:', cmd.config) logger.info(' > config:'+ cmd.config)
print(' > exp:', args.env.expdir) logger.info(' > exp:'+ args.env.expdir)
# load vocoder # load vocoder
vocoder = Vocoder(args.vocoder.type, args.vocoder.ckpt, device=args.device) vocoder = Vocoder(args.vocoder.type, args.vocoder.ckpt, device=args.device)
@ -47,7 +47,7 @@ if __name__ == '__main__':
args.model.k_step_max args.model.k_step_max
) )
print(f' > INFO: now model timesteps is {model.timesteps}, and k_step_max is {model.k_step_max}') logger.info(f' > Now model timesteps is {model.timesteps}, and k_step_max is {model.k_step_max}')
# load parameters # load parameters
optimizer = torch.optim.AdamW(model.parameters()) optimizer = torch.optim.AdamW(model.parameters())