torch-cuda-installer


Nametorch-cuda-installer JSON
Version 0.1.0 PyPI version JSON
download
home_pageNone
SummaryA tool to automatically install PyTorch packages with CUDA support if available
upload_time2024-08-05 12:29:14
maintainerNone
docs_urlNone
authorNone
requires_python>=3.6
licenseNone
keywords pytorch torch cuda installer deep-learning nvidia
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
# PyTorch CUDA Installer

PyTorch CUDA Installer is a Python package that simplifies the process of installing PyTorch packages with CUDA support. It automatically detects the available CUDA version on your system and installs the appropriate PyTorch packages.

## Installation

You can install the PyTorch CUDA Installer using pip:

```
pip install torch-cuda-installer
```

## Usage

After installation, you can use the package in two ways:

1. As a command-line tool:

   ```
   torch-cuda-installer --torch --torchvision --torchaudio
   ```

2. As a Python module:

   ```python
   from torch_cuda_installer import install_pytorch

   install_pytorch(cuda_key=None, packages=['torch', 'torchvision', 'torchaudio'])
   ```

Use any combination of `--torch`, `--torchvision`, and `--torchaudio` to select which packages to install.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "torch-cuda-installer",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": null,
    "keywords": "pytorch, torch, cuda, installer, deep-learning, nvidia",
    "author": null,
    "author_email": "G\u00fcven\u00e7 Usanmaz <gusanmaz@gmail.com>",
    "download_url": "https://files.pythonhosted.org/packages/2c/4d/68523a42e3240b600b8ef1b82510cf40d5c3ade7e2106c99422f2df3f7d2/torch_cuda_installer-0.1.0.tar.gz",
    "platform": null,
    "description": "\n# PyTorch CUDA Installer\n\nPyTorch CUDA Installer is a Python package that simplifies the process of installing PyTorch packages with CUDA support. It automatically detects the available CUDA version on your system and installs the appropriate PyTorch packages.\n\n## Installation\n\nYou can install the PyTorch CUDA Installer using pip:\n\n```\npip install torch-cuda-installer\n```\n\n## Usage\n\nAfter installation, you can use the package in two ways:\n\n1. As a command-line tool:\n\n   ```\n   torch-cuda-installer --torch --torchvision --torchaudio\n   ```\n\n2. As a Python module:\n\n   ```python\n   from torch_cuda_installer import install_pytorch\n\n   install_pytorch(cuda_key=None, packages=['torch', 'torchvision', 'torchaudio'])\n   ```\n\nUse any combination of `--torch`, `--torchvision`, and `--torchaudio` to select which packages to install.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "A tool to automatically install PyTorch packages with CUDA support if available",
    "version": "0.1.0",
    "project_urls": {
        "Homepage": "https://github.com/gusanmaz/torch-cuda-installer"
    },
    "split_keywords": [
        "pytorch",
        " torch",
        " cuda",
        " installer",
        " deep-learning",
        " nvidia"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d6b6663168d50f9ee570f798356602d4d2eb6e014494c022371e4a04990d707e",
                "md5": "69a9c3abab987d1759d0a7c0a16fb550",
                "sha256": "1c2312e30624b01516207140894583403a2466623d312da5deed55599623ec8c"
            },
            "downloads": -1,
            "filename": "torch_cuda_installer-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "69a9c3abab987d1759d0a7c0a16fb550",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 3645,
            "upload_time": "2024-08-05T12:29:13",
            "upload_time_iso_8601": "2024-08-05T12:29:13.359784Z",
            "url": "https://files.pythonhosted.org/packages/d6/b6/663168d50f9ee570f798356602d4d2eb6e014494c022371e4a04990d707e/torch_cuda_installer-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2c4d68523a42e3240b600b8ef1b82510cf40d5c3ade7e2106c99422f2df3f7d2",
                "md5": "e5cf126cd313a11395af40920228b5a2",
                "sha256": "fea771c493bc79140e5b2183df267fafb0d51bd578253c40dbe76ebe1592006d"
            },
            "downloads": -1,
            "filename": "torch_cuda_installer-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "e5cf126cd313a11395af40920228b5a2",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 3214,
            "upload_time": "2024-08-05T12:29:14",
            "upload_time_iso_8601": "2024-08-05T12:29:14.938282Z",
            "url": "https://files.pythonhosted.org/packages/2c/4d/68523a42e3240b600b8ef1b82510cf40d5c3ade7e2106c99422f2df3f7d2/torch_cuda_installer-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-08-05 12:29:14",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "gusanmaz",
    "github_project": "torch-cuda-installer",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "torch-cuda-installer"
}
        
Elapsed time: 0.29042s