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Hi, thanks to your work!
But I have got a problem when running this code with an 8*GPU(A100) server, it just stuck on this two line model = torch.nn.DataParallel(model).cuda() for iter, pack in enumerate(train_data_loader):
And also it cost a lot of time to run evert option in the traning process like F.interpolate
I wonder if there is something wrong with my conda env?
The text was updated successfully, but these errors were encountered:
hyalvin
changed the title
How
Huge Time Cost When Running the Code
Sep 29, 2021
OK, I have solved this problem with the help of my mentor.
It must be that when creating a new conda env, the version of CUDA in this env is not matched with that in the server home, and thus when moving the model to GPU, something wrong happened, what a terrible problem!
Hi, thanks to your work!
But I have got a problem when running this code with an 8*GPU(A100) server, it just stuck on this two line
model = torch.nn.DataParallel(model).cuda()
for iter, pack in enumerate(train_data_loader):
And also it cost a lot of time to run evert option in the traning process like
F.interpolate
I wonder if there is something wrong with my conda env?
The text was updated successfully, but these errors were encountered: