{ "info": { "author": "Jan Freyberg", "author_email": "jan.freyberg@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "# `pytorch-revgrad`\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", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "", "keywords": "", "license": "", "maintainer": "Jan Freyberg", "maintainer_email": "jan.freyberg@gmail.com", "name": "pytorch-revgrad", "package_url": "https://pypi.org/project/pytorch-revgrad/", "platform": "", "project_url": "https://pypi.org/project/pytorch-revgrad/", "project_urls": null, "release_url": "https://pypi.org/project/pytorch-revgrad/0.0.1/", "requires_dist": [ "torch (>=1.0,<2.0)" ], "requires_python": "", "summary": "Gradient reversal layer for pytorch.", "version": "0.0.1" }, "last_serial": 5006991, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "854a365965086a5fc2d2c06a908bd429", "sha256": "b75361d9356ab7e8554cbb6e4d55e33bf84aa07c49a4a3d341bef9b6e30da012" }, "downloads": -1, "filename": "pytorch_revgrad-0.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "854a365965086a5fc2d2c06a908bd429", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 2683, "upload_time": "2019-03-30T12:07:04", "url": "https://files.pythonhosted.org/packages/a8/de/20eea4c69aa03c2f3e27832e0830f25723580336b5210614a3a1fa445d5c/pytorch_revgrad-0.0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a21d8c6ed0eb97731c0faeb1e0d55bb8", "sha256": "9b4ae0042da68d826426f066e77d025306bba719cd6b4a4dd00e9cc1941a2da5" }, "downloads": -1, "filename": "pytorch-revgrad-0.0.1.tar.gz", "has_sig": false, "md5_digest": "a21d8c6ed0eb97731c0faeb1e0d55bb8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1719, "upload_time": "2019-03-30T12:07:02", "url": "https://files.pythonhosted.org/packages/87/95/4367569570608dd6ed76bb63f8a9d7ba380e1b3de5922050c8e8e9e18f26/pytorch-revgrad-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "854a365965086a5fc2d2c06a908bd429", "sha256": "b75361d9356ab7e8554cbb6e4d55e33bf84aa07c49a4a3d341bef9b6e30da012" }, "downloads": -1, "filename": "pytorch_revgrad-0.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "854a365965086a5fc2d2c06a908bd429", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 2683, "upload_time": "2019-03-30T12:07:04", "url": "https://files.pythonhosted.org/packages/a8/de/20eea4c69aa03c2f3e27832e0830f25723580336b5210614a3a1fa445d5c/pytorch_revgrad-0.0.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "a21d8c6ed0eb97731c0faeb1e0d55bb8", "sha256": "9b4ae0042da68d826426f066e77d025306bba719cd6b4a4dd00e9cc1941a2da5" }, "downloads": -1, "filename": "pytorch-revgrad-0.0.1.tar.gz", "has_sig": false, "md5_digest": "a21d8c6ed0eb97731c0faeb1e0d55bb8", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 1719, "upload_time": "2019-03-30T12:07:02", "url": "https://files.pythonhosted.org/packages/87/95/4367569570608dd6ed76bb63f8a9d7ba380e1b3de5922050c8e8e9e18f26/pytorch-revgrad-0.0.1.tar.gz" } ] }