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有bug #72

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ZouRuia opened this issue Feb 7, 2022 · 0 comments
Open

有bug #72

ZouRuia opened this issue Feb 7, 2022 · 0 comments

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@ZouRuia
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ZouRuia commented Feb 7, 2022

tools.py里
我用cpu进行训练,n_gpu=‘’,
def prepare_device(use_gpu):
"""
setup GPU device if available, move model into configured device
# 如果n_gpu_use为数字,则使用range生成list
# 如果输入的是一个list,则默认使用list[0]作为controller
Example:
use_gpu = '' : cpu
use_gpu = '0': cuda:0
use_gpu = '0,1' : cuda:0 and cuda:1
"""
# use_gpu = ''
n_gpu_use = [int(x) for x in use_gpu.split(",")]
if not use_gpu:
device_type = 'cpu'
else:
device_type = f"cuda:{n_gpu_use[0]}"
n_gpu = torch.cuda.device_count()
if len(n_gpu_use) > 0 and n_gpu == 0:
logger.warning("Warning: There's no GPU available on this machine, training will be performed on CPU.")
device_type = 'cpu'
if len(n_gpu_use) > n_gpu:
msg = f"Warning: The number of GPU's configured to use is {n_gpu}, but only {n_gpu} are available on this machine."
logger.warning(msg)
n_gpu_use = range(n_gpu)
device = torch.device(device_type)
list_ids = n_gpu_use
return device, list_ids
这里n_gpu_use = [int(x) for x in use_gpu.split(",")]会报错,原因是use_gpu是空的字符串,不能int.

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