| Name | wgpu-native-installer JSON |
| Version |
0.0.1
JSON |
| download |
| home_page | None |
| Summary | Install wgpu-native |
| upload_time | 2024-05-04 09:03:36 |
| maintainer | None |
| docs_url | None |
| author | Asher Jingkong Chen |
| requires_python | >=3.8 |
| license | MIT License Copyright (c) 2024 Asher Jingkong Chen Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
wgpu
installer
cli
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# wgpu-native-installer
> Install wgpu-native
[](https://pypi.org/project/wgpu-native-installer/)
[](https://pypi.org/project/wgpu-native-installer/)
## Introduction
Install the GitHub assets from [gfx-rs/wgpu-native](https://github.com/gfx-rs/wgpu-native).
The installer has additional options to customize the installation.
## Installation
Choose one of the following methods:
1. Install the package from PyPI:
Website [link](https://pypi.org/project/wgpu-native-installer/)
```shell
pip install wgpu-native-installer
```
2. Install the package from GitHub:
Website [link](https://github.com/AsherJingkongChen/wgpu-native-installer/releases/latest)
```shell
curl -LO $ASSET_URL_ends_with_whl
pip install *.whl
```
## Usage
Choose one of the following methods. It depends on your requirements.
1. Download the artifacts of wgpu-native on your machine:
```shell
python -m wgpu_native_installer -v
ls -l
# c++ -L. -lwgpu_native ....
```
2. Import the CLI as a package:
```python
from asyncio import run
from wgpu_native_installer import main as install_wgpu_native
if __name__ == "__main__":
run(install_wgpu_native(["-vv", "--library", "dynamic", "static"]))
```
```python
from asyncio import run
from wgpu_native_installer.github_release import parse_release_latest
async def amain():
release = await parse_release_latest("pytorch", "pytorch")
asset = release.search_assets(r".*\.tar\.gz")[0]
async for _ in asset.download("pytorch-latest.tar.gz", show_progress=True):
pass
if __name__ == "__main__":
run(amain())
```
3. Clone the repository and reuse the codes you like:
```shell
git clone https://github.com/AsherJingkongChen/wgpu-native-installer.git
```
## Details
### Goals
As one of my Python package templates, it should be TSPC-compliant.
- Tested
- Simple
- Performant
- Customizable
## License
[MIT](./LICENSE)
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"description": "# wgpu-native-installer\n\n> Install wgpu-native\n\n[](https://pypi.org/project/wgpu-native-installer/)\n[](https://pypi.org/project/wgpu-native-installer/)\n\n## Introduction\n\nInstall the GitHub assets from [gfx-rs/wgpu-native](https://github.com/gfx-rs/wgpu-native).\n\nThe installer has additional options to customize the installation.\n\n## Installation\n\nChoose one of the following methods:\n\n1. Install the package from PyPI:\n\n Website [link](https://pypi.org/project/wgpu-native-installer/)\n\n ```shell\n pip install wgpu-native-installer\n ```\n\n2. Install the package from GitHub:\n\n Website [link](https://github.com/AsherJingkongChen/wgpu-native-installer/releases/latest)\n\n ```shell\n curl -LO $ASSET_URL_ends_with_whl\n pip install *.whl\n ```\n\n## Usage\n\nChoose one of the following methods. It depends on your requirements.\n\n1. Download the artifacts of wgpu-native on your machine:\n\n ```shell\n python -m wgpu_native_installer -v\n ls -l\n # c++ -L. -lwgpu_native ....\n ```\n\n2. Import the CLI as a package:\n\n ```python\n from asyncio import run\n from wgpu_native_installer import main as install_wgpu_native\n\n if __name__ == \"__main__\":\n run(install_wgpu_native([\"-vv\", \"--library\", \"dynamic\", \"static\"]))\n ```\n\n ```python\n from asyncio import run\n from wgpu_native_installer.github_release import parse_release_latest\n\n async def amain():\n release = await parse_release_latest(\"pytorch\", \"pytorch\")\n asset = release.search_assets(r\".*\\.tar\\.gz\")[0]\n async for _ in asset.download(\"pytorch-latest.tar.gz\", show_progress=True):\n pass\n\n if __name__ == \"__main__\":\n run(amain())\n ```\n\n3. Clone the repository and reuse the codes you like:\n\n ```shell\n git clone https://github.com/AsherJingkongChen/wgpu-native-installer.git\n ```\n\n## Details\n\n### Goals\n\nAs one of my Python package templates, it should be TSPC-compliant.\n\n- Tested\n- Simple\n- Performant\n- Customizable\n\n## License\n\n[MIT](./LICENSE)\n",
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