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DPS921/PyTorch: Convolutional Neural Networks

111 bytes added, 14:10, 30 November 2020
Data Parallelism
=== Data Parallelism ===
The data can be parallelized with <code>DataParallel</code> is a single-machine parallel model, that uses multiple GPUs. It is more convenient than a multi-machine, distributed training model. You can easily put your model on a GPU by writing:
device = torch.device("cuda:0")
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