Spaces:
Sleeping
Sleeping
File size: 917 Bytes
9e93243 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | """
PyTorch related util functions
"""
import torch
import os
def allocate_gpu(id=None):
'''
choose the free gpu in the node
'''
v = torch.empty(1)
if id is not None:
return torch.device("cuda:{}".format(str(id)))
else:
for i in range(8):
try:
dev_name = "cuda:{}".format(str(i))
v = v.to(dev_name)
print("Allocating cuda:{}.".format(i))
return v.device
except Exception as e:
pass
print("CUDA error: all CUDA-capable devices are busy or unavailable")
return v.device
def allocate_gpu_multi(id=None):
os.environ['CUDA_VISIBLE_DEVICES']='1'
device=torch.device("cuda:1" if torch.cuda.is_available() else 'cpu')
os.environ['CUDA_VISIBLE_DEVICES']='0'
device=torch.device("cuda:1" if torch.cuda.is_available() else 'cpu')
return device
|