After fetching each tensor from dataloader, I need to feed to GPU, ... From: https://pytorch.org/docs/stable/data.html#multi-process-data- ... ... <看更多>
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After fetching each tensor from dataloader, I need to feed to GPU, ... From: https://pytorch.org/docs/stable/data.html#multi-process-data- ... ... <看更多>
You can modify the collate_fn to handle several items at once: from torch.utils.data.dataloader import default_collate device ... ... <看更多>
Once you have selected which device you want PyTorch to use then you can ... If you are using the PyTorch DataLoader() class to load your data in each ... ... <看更多>
It's very easy to use GPUs with PyTorch. You can put the model on a GPU: .. code:: python device = torch.device("cuda:0") model.to(device). ... <看更多>
... <看更多>