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
1 maintainer
Release files for torchmirror 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torchmirror-0.6.0.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torchmirror-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.3 kB
Release files / torchmirror-0.6.0.tar.gz
| Download URL | torchmirror-0.6.0.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
92f5539040a64bd404c083aae259ceea39d0fb4500737b8545e8266c1cad6de3
|
|
BLAKE2b-256 checksum How to use checksums |
3e6f034bc9094d781e3c83b2c71d9c9d4e61d43bbbc3ec81c0d09a012e5218f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.3
|
Release files / torchmirror-0.6.0-py3-none-any.whl
| Download URL | torchmirror-0.6.0-py3-none-any.whl |
|---|---|
| Size | 9.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
856bfb0641de13b0c8e37f8ddfb3fd44a422779717a21def0ef9ddd8921bf8b5
|
|
BLAKE2b-256 checksum How to use checksums |
164a915c30d5a9cf4528442506885f04f8289c1974940476ea19c47792e8f1fc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.3
|
