2023-04-01 10:42:19 +02:00
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("--port", type=int, default=7865, help="Listen port")
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parser.add_argument("--pycmd", type=str, default="python", help="Python command")
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parser.add_argument("--colab", action='store_true', help="Launch in colab")
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parser.add_argument("--noparallel", action='store_true', help="Disable parallel processing")
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cmd_opts = parser.parse_args()
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2023-03-31 11:54:38 +02:00
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############离线VC参数
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inp_root=r"白鹭霜华长条"#对输入目录下所有音频进行转换，别放非音频文件
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opt_root=r"opt"#输出目录
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f0_up_key=0#升降调，整数，男转女12，女转男-12
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person=r"weights\洛天依v3.pt"#目前只有洛天依v3
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############硬件参数
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device = "cuda:0"#填写cuda:x或cpu，x指代第几张卡，只支持N卡加速
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is_half=True#9-10-20-30-40系显卡无脑True，不影响质量，>=20显卡开启有加速
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n_cpu=0#默认0用上所有线程，写数字限制CPU资源使用
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2023-04-01 10:42:19 +02:00
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############python命令路径
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python_cmd=cmd_opts.pycmd
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listen_port=cmd_opts.port
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iscolab=cmd_opts.colab
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noparallel=cmd_opts.noparallel
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2023-03-31 11:54:38 +02:00
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############下头别动
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import torch
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if(torch.cuda.is_available()==False):
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2023-04-01 10:42:19 +02:00
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print("没有发现支持的N卡, 使用CPU进行推理")
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2023-03-31 11:54:38 +02:00
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device="cpu"
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is_half=False
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if(device!="cpu"):
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gpu_name=torch.cuda.get_device_name(int(device.split(":")[-1]))
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if("16"in gpu_name or "MX"in gpu_name):
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print("16系显卡/MX系显卡强制单精度")
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is_half=False
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from multiprocessing import cpu_count
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if(n_cpu==0):n_cpu=cpu_count()
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if(is_half==True):
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#6G显存配置
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x_pad = 3
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x_query = 10
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x_center = 60
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x_max = 65
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else:
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#5G显存配置
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x_pad = 1
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# x_query = 6
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# x_center = 30
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# x_max = 32
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#6G显存配置
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x_query = 6
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x_center = 38
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x_max = 41
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