pytorch_revgrad

Name	pytorch_revgrad JSON
Version	0.2.0 JSON
	download
home_page	https://github.com/janfreyberg/pytorch-revgrad
Summary	A pytorch module (and function) to reverse gradients.
upload_time	2021-01-09 17:35:49
maintainer
docs_url	None
author	Jan Freyberg
requires_python	>=3.5
license
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI
coveralls test coverage	No coveralls.

            # `pytorch-revgrad`

[![PyPI version](https://badge.fury.io/py/pytorch-revgrad.svg)](https://badge.fury.io/py/pytorch-revgrad)
[![Coverage Status](https://coveralls.io/repos/github/janfreyberg/pytorch-revgrad/badge.svg?branch=master)](https://coveralls.io/github/janfreyberg/pytorch-revgrad?branch=master)
[![ci status](https://travis-ci.org/janfreyberg/pytorch-revgrad.svg?branch=master)](https://travis-ci.com/janfreyberg/pytorch-revgrad)
![python version](https://camo.githubusercontent.com/0a3ef56c3f80aca9bc6bafeab605803d81fe2284/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d332e352532422d626c75652e737667)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

This package implements a gradient reversal layer for pytorch modules.

## Example usage

```python
import torch

from pytorch_revgrad import RevGrad

model = torch.nn.Sequential(
    torch.nn.Linear(10, 5),
    torch.nn.Linear(5, 2),
    RevGrad()
)
```

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/janfreyberg/pytorch-revgrad",
    "name": "pytorch_revgrad",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "",
    "author": "Jan Freyberg",
    "author_email": "jan.freyberg@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/90/c3/aecc90deea743b93757e05e235f70eef479509eb3eb11b19f3aa0d528541/pytorch_revgrad-0.2.0.tar.gz",
    "platform": "",
    "description": "# `pytorch-revgrad`\n\n[![PyPI version](https://badge.fury.io/py/pytorch-revgrad.svg)](https://badge.fury.io/py/pytorch-revgrad)\n[![Coverage Status](https://coveralls.io/repos/github/janfreyberg/pytorch-revgrad/badge.svg?branch=master)](https://coveralls.io/github/janfreyberg/pytorch-revgrad?branch=master)\n[![ci status](https://travis-ci.org/janfreyberg/pytorch-revgrad.svg?branch=master)](https://travis-ci.com/janfreyberg/pytorch-revgrad)\n![python version](https://camo.githubusercontent.com/0a3ef56c3f80aca9bc6bafeab605803d81fe2284/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d332e352532422d626c75652e737667)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nThis package implements a gradient reversal layer for pytorch modules.\n\n## Example usage\n\n```python\nimport torch\n\nfrom pytorch_revgrad import RevGrad\n\nmodel = torch.nn.Sequential(\n    torch.nn.Linear(10, 5),\n    torch.nn.Linear(5, 2),\n    RevGrad()\n)\n```\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A pytorch module (and function) to reverse gradients.",
    "version": "0.2.0",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "0cca2daedc6b24de9a6063d2be189b31",
                "sha256": "2276fb189b2ce26f756a97effe2a6bcf8f7fdc60542c5dfb45c53f09ef123aa7"
            },
            "downloads": -1,
            "filename": "pytorch_revgrad-0.2.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0cca2daedc6b24de9a6063d2be189b31",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.5",
            "size": 4564,
            "upload_time": "2021-01-09T17:35:47",
            "upload_time_iso_8601": "2021-01-09T17:35:47.543075Z",
            "url": "https://files.pythonhosted.org/packages/ec/e9/10b11b186b99c40213dca68cf6c38051b6704a74e1056d3f3ca4c12f14b9/pytorch_revgrad-0.2.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "md5": "3ea51b11a52967d8e261d328dcb24932",
                "sha256": "9cf097a7d18cbadddeaec9fef74b258d70b6cb8d0c77f524baab18bffc7d7be9"
            },
            "downloads": -1,
            "filename": "pytorch_revgrad-0.2.0.tar.gz",
            "has_sig": false,
            "md5_digest": "3ea51b11a52967d8e261d328dcb24932",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 7086,
            "upload_time": "2021-01-09T17:35:49",
            "upload_time_iso_8601": "2021-01-09T17:35:49.131899Z",
            "url": "https://files.pythonhosted.org/packages/90/c3/aecc90deea743b93757e05e235f70eef479509eb3eb11b19f3aa0d528541/pytorch_revgrad-0.2.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2021-01-09 17:35:49",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "janfreyberg",
    "github_project": "pytorch-revgrad",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "lcname": "pytorch_revgrad"
}