PyTorch数据集国内镜像
一、使用方法
只需要在使用数据集之前导入torch_dataset_mirror模块即可，如下：
import torch
import torch_dataset_mirror
import torchvision.datasets.mnist as mnist
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_DATASET_MIRROR环境变量即可，如下：
export PYTORCH_DATASET_MIRROR=http://192.168.0.100:8080
1 maintainer
Release files for torch-dataset-mirror 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| torch_dataset_mirror-0.2.1.tar.gz | 3.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_dataset_mirror-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 kB
Release files / torch_dataset_mirror-0.2.1.tar.gz
| Download URL | torch_dataset_mirror-0.2.1.tar.gz |
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| Size | 3.0 kB |
| Tags | Source |
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Release files / torch_dataset_mirror-0.2.1-py3-none-any.whl
| Download URL | torch_dataset_mirror-0.2.1-py3-none-any.whl |
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| Size | 7.4 kB |
| Tags | Python 3 |
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