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Dear Lu Lu:
I have a problem. I am working on a school server which I fail to install horovod. Horever my model and data are too large to fit on a single GPU, and I don't know how the deepxde works to load data to GPU. Using torch.nn.parallel.DistributedDataParallel(model) would cause the problem: "unexpected keyword argument 'lr'" and other problems. I would like to know is there any other solution to use multiple GPUs without horvod. Thanks!
The text was updated successfully, but these errors were encountered:
Dear Lu Lu:
I have a problem. I am working on a school server which I fail to install horovod. Horever my model and data are too large to fit on a single GPU, and I don't know how the deepxde works to load data to GPU. Using torch.nn.parallel.DistributedDataParallel(model) would cause the problem: "unexpected keyword argument 'lr'" and other problems. I would like to know is there any other solution to use multiple GPUs without horvod. Thanks!
The text was updated successfully, but these errors were encountered: