Retrieval-based-Voice-Conve.../config.py

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########################硬件参数########################
#填写cuda:x, cpu 或 mps, x指代第几张卡只支持 N卡 / Apple Silicon 加速
device = "cuda:0"
#9-10-20-30-40系显卡无脑True不影响质量>=20显卡开启有加速
is_half = True
#默认0用上所有线程写数字限制CPU资源使用
n_cpu = 0
########################硬件参数########################
##################下为参数处理逻辑,勿动##################
########################命令行参数########################
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=7865, help="Listen port")
parser.add_argument("--pycmd", type=str, default="python", help="Python command")
parser.add_argument("--colab", action='store_true', help="Launch in colab")
parser.add_argument("--noparallel", action='store_true', help="Disable parallel processing")
cmd_opts = parser.parse_args()
python_cmd=cmd_opts.pycmd
listen_port=cmd_opts.port
iscolab=cmd_opts.colab
noparallel=cmd_opts.noparallel
########################命令行参数########################
import sys
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import torch
# has_mps is only available in nightly pytorch (for now) and MasOS 12.3+.
# check `getattr` and try it for compatibility
def has_mps() -> bool:
if sys.platform != "darwin":
return False
else:
if not getattr(torch, 'has_mps', False): return False
try:
torch.zeros(1).to(torch.device("mps"))
return True
except Exception:
return False
if(not torch.cuda.is_available()):
if has_mps():
print("没有发现支持的N卡, 使用MPS进行推理")
device = "mps"
else:
print("没有发现支持的N卡, 使用CPU进行推理")
device = "cpu"
is_half = False
if(device not in ["cpu", "mps"]):
gpu_name = torch.cuda.get_device_name(int(device.split(":")[-1]))
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")
is_half = False
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from multiprocessing import cpu_count
if(n_cpu==0): n_cpu=cpu_count()
if(is_half):
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#6G显存配置
x_pad = 3
x_query = 10
x_center = 60
x_max = 65
else:
#5G显存配置
x_pad = 1
x_query = 6
x_center = 38
x_max = 41