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torch_musa is an extended Python package based on PyTorch. Developing torch_musa in a plug-in way allows torch_musa to be decoupled from PyTorch, which is convenient for code maintenance. Combined with PyTorch, users can take advantage of the strong power of Moore Threads graphics cards through torch_musa.
Training an image classifier. We will do the following steps in order: Load and normalize the CIFAR10 training and test datasets using torchvision. Define a Convolutional Neural Network. Define a loss function. Train the network on the training data. Test the network on the test data. 1. Load and normalize CIFAR10.
Dec 2, 2023 · 在使用 PyTorch 进行深度学习时，通常将模型和相关数据移动到GPU上以加速训练过程。. 以下是一些通常需要放在GPU上的变量和操作：. 模型（Model）：. 将深度学习模型移动到GPU上，可以使用 model.to(device) ，其中 device 是 torch.device 类型，表示设备，可以是 ‘cuda ...
