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XXXXRT666 2024-08-05 23:21:05 +08:00 committed by GitHub
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GPT_SoVITS/prepare_datasets/3-get-semantic.py
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@ -8,6 +8,7 @@ os.environ["CUDA_VISIBLE_DEVICES"] = os.environ.get("_CUDA_VISIBLE_DEVICES")
opt_dir = os.environ.get("opt_dir")
pretrained_s2G = os.environ.get("pretrained_s2G")
s2config_path = os.environ.get("s2config_path")
version=os.environ.get("version","v2")
import torch
is_half = eval(os.environ.get("is_half", "True")) and torch.cuda.is_available()
import math, traceback
@ -50,6 +51,7 @@ if os.path.exists(semantic_path) == False:
hps.data.filter_length // 2 + 1,
hps.train.segment_size // hps.data.hop_length,
n_speakers=hps.data.n_speakers,
version=version,
**hps.model
)
if is_half == True: