PyTorch模型、数据集国内镜像
一、使用方法
只需要在使用模型或数据集之前导入torchmirror.dataset或torchmirror.model模块即可，如下：
import torch
import torchvision.datasets.mnist as mnist
from torchmirror import dataset, model
train_dataset = mnist.MNIST("./data", train=True, download=True)
test_dataset = mnist.MNIST("./data", train=False, download=True)
二、使用其他镜像
要使用其他镜像，只需要修改PYTORCH_MODEL_MIRROR或PYTORCH_DATASET_MIRROR环境变量即可，如下：
export PYTORCH_MODEL_MIRROR=http://192.168.0.100:8080
export PYTORCH_DATASET_MIRROR=http://192.168.0.100:8080
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Release files for pytorch-mirror 0.5.1
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