pytorch multiple gpu

Combative Crocodile answered on August 25, 2021 Popularity 9/10 Helpfulness 6/10

answer pytorch multiple gpu

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pytorch multiple gpu

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# all GPUs
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = CreateModel()
model= nn.DataParallel(model)
model.to(device)
# specific GPUS
device = torch.device("cuda:1,3" if torch.cuda.is_available() else "cpu") ## specify the GPU id's, GPU id's start from 0.
model = CreateModel()
model= nn.DataParallel(model,device_ids = [1, 3])
model.to(device)
# OS way - programming like all GPUs
export CUDA_VISIBLE_DEVICES=1,3

Popularity 9/10 Helpfulness 6/10 Language python

Source: stackoverflow.com

Tags: multiple-gpu python pytorch

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Contributed on Nov 22 2022

Combative Crocodile

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pytorch use multiple gpu

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#easiest solution is to wrap you model in DataParallel like so:

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model = Model(input_size, output_size)
if torch.cuda.device_count() > 1:
  print("Let's use", torch.cuda.device_count(), "GPUs!")
  model = nn.DataParallel(model)

model.to(device)

Popularity 10/10 Helpfulness 5/10 Language python

Source: pytorch.org

Tags: multiple-gpu multiple-g

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Contributed on Aug 25 2021

Friendly Hawk

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pytorch multiple gpu

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