actual better fix

thanks C43H66N12O12S2
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pepe10-gpu 2022-11-08 15:19:09 -08:00 committed by GitHub
parent 29eff4a194
commit 62e9fec3df
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@ -39,12 +39,9 @@ def torch_gc():
def enable_tf32(): def enable_tf32():
if torch.cuda.is_available(): if torch.cuda.is_available():
#TODO: make this better; find a way to check if it is a turing card
turing = ["1630","1650","1660","Quadro RTX 3000","Quadro RTX 4000","Quadro RTX 4000","Quadro RTX 5000","Quadro RTX 5000","Quadro RTX 6000","Quadro RTX 6000","Quadro RTX 8000","Quadro RTX T400","Quadro RTX T400","Quadro RTX T600","Quadro RTX T1000","Quadro RTX T1000","2060","2070","2080","Titan RTX","Tesla T4","MX450","MX550"]
for devid in range(0,torch.cuda.device_count()): for devid in range(0,torch.cuda.device_count()):
for i in turing: if torch.cuda.get_device_capability(devid) == (7, 5):
if i in torch.cuda.get_device_name(devid): shd = True
shd = True
if shd: if shd:
torch.backends.cudnn.benchmark = True torch.backends.cudnn.benchmark = True
torch.backends.cudnn.enabled = True torch.backends.cudnn.enabled = True