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https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI.git
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Format code (#275)
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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@@ -31,7 +31,8 @@ from data_utils import (
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TextAudioCollate,
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DistributedBucketSampler,
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)
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if(hps.version=="v1"):
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if hps.version == "v1":
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from infer_pack.models import (
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SynthesizerTrnMs256NSFsid as RVC_Model_f0,
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SynthesizerTrnMs256NSFsid_nono as RVC_Model_nof0,
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@@ -519,14 +520,25 @@ def train_and_evaluate(
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epoch,
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os.path.join(hps.model_dir, "D_{}.pth".format(2333333)),
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)
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if(rank==0 and hps.save_every_weights=="1"):
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if rank == 0 and hps.save_every_weights == "1":
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if hasattr(net_g, "module"):
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ckpt = net_g.module.state_dict()
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else:
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ckpt = net_g.state_dict()
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logger.info(
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"saving ckpt %s_e%s:%s"
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% (hps.name,epoch,savee(ckpt, hps.sample_rate, hps.if_f0, hps.name+"_e%s"%epoch, epoch,hps.version))
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% (
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hps.name,
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epoch,
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savee(
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ckpt,
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hps.sample_rate,
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hps.if_f0,
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hps.name + "_e%s" % epoch,
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epoch,
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hps.version,
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),
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)
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)
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if rank == 0:
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@@ -540,7 +552,7 @@ def train_and_evaluate(
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ckpt = net_g.state_dict()
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logger.info(
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"saving final ckpt:%s"
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% (savee(ckpt, hps.sample_rate, hps.if_f0, hps.name, epoch,hps.version))
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% (savee(ckpt, hps.sample_rate, hps.if_f0, hps.name, epoch, hps.version))
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)
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sleep(1)
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os._exit(2333333)
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