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
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pytorch_mirror-0.5.1.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pytorch_mirror-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.3 kB
Release files / pytorch_mirror-0.5.1.tar.gz
| Download URL | pytorch_mirror-0.5.1.tar.gz |
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| Size | 4.3 kB |
| Tags | Source |
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Release files / pytorch_mirror-0.5.1-py3-none-any.whl
| Download URL | pytorch_mirror-0.5.1-py3-none-any.whl |
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| Size | 12.0 kB |
| Tags | Python 3 |
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