{
    "info": {
        "author": "Amartya Sanyal",
        "author_email": "amartya18x@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 2.7",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "[![Build Status](https://travis-ci.org/amartya18x/easyGrad.svg?branch=master)](https://travis-ci.org/amartya18x/easyGrad)\n# Easy Grad\n\nThis library aims to provide an easy implementation of doing symbolic operations in python\n## Operators allowed\n\n- *exp(x)* and *log(x)*\n```Python\ndef testOps():\n    x = Integer('x')\n    y = ops.log(x)\n    z = ops.exp(y)\n    graph = GradGraph(z)\n    graph.getOutput({x: 1})\n    graph.getGradients(wrt=x)\n    print x.gradient\n```\n- *Sigmoid(x)*\n```Python\n\ndef activ_fns():\n    x = Double('x')\n    z = ops.sigmoid(x)\n    graph = GradGraph(z)\n    graph.getOutput({x: 110.5})\n    graph.getGradients(wrt=x)\n    print x.gradient\n```\n- *Tanh(x)*\n```Python\n\ndef activ_fns():\n    x = Double('x')\n    z = ops.tanh(x)\n    graph = GradGraph(z)\n    graph.getOutput({x: 110.5})\n    graph.getGradients(wrt=x)\n    print x.gradient\n```\n\n## Testing\n\n```Python\ndef gradTestSimple():  \n    a = Integer(\"a\")  \n    b = Integer(\"b\")  \n    c = a + b  \n    d = b + 6  \n    e = c * d  \n    graph = GradGraph(e)  \n    graph.getOutput({a: 32,  \n                     b: 11})  \n    graph.getGradients(wrt=b)  \n    print a.gradient, b.gradient  \n```\n### Here is a more complex example.\n```Python\ndef gradTest():  \n    x = Integer(\"Int1x\")  \n    y = Integer(\"Int2y\")  \n    z = Integer(\"Int3z\")  \n    p = Integer(\"Int4p\")  \n    k = p * z  \n    t = y * k  \n    m = k + t  \n    n = m * z  \n    graph = GradGraph(n)  \n    graph.getOutput({x: 9,  \n                     y: 9,  \n                     z: 9,  \n                     p: 2})  \n    graph.getGradients(wrt=z)  \n    print x.gradient, y.gradient, z.gradient, p.gradient\n```\n### This is the same examples as above but the commands are not three op commands.\n\n```Python\ndef gradTestLong():  \n    x = Integer(\"Int1x\")  \n    y = Integer(\"Int2y\")  \n    z = Integer(\"Int3z\")  \n    p = Integer(\"Int4p\")  \n    k = p * z  \n    n = (k + (y * p * z)) * z  \n    graph = GradGraph(n)  \n    graph.getOutput({x: 9,  \n                     y: 9,  \n                     z: 9,  \n                     p: 2})  \n    graph.getGradients(wrt=z)  \n    print x.gradient, y.gradient, z.gradient, p.gradient\n```\nTensor Operations\n```Python\n\ndef dotProduct():\n    x = DoubleTensor(\"Tensor1\")\n    y = x.dot([3, 4])\n    z = y.dot([4, 5])\n    graph = GradGraph(z)\n    output = graph.getOutput({x: [3, 4]})\n    graph.getGradients(wrt=x)\n    assert(np.all(output == [100, 125]))\n    assert(np.all(x.gradient == [[ 12., 16.], [ 15., 20.]]))\n\t\n\n\ndef TensorOp():\n    x = DoubleTensor(\"Tensor1\")\n    y = x - [3, 4]\n    z = ops.log(y * x)\n    graph = GradGraph(z)\n    output = graph.getOutput({x: [10]})\n    assert(np.all(np.isclose(output, np.log(10 * (10 - np.asarray([3, 4]))))))\n    graph.getGradients(wrt=x)\n    a = 2 * 10 - np.asarray([3, 4])\n    b = 1.0/np.exp(np.asarray(output))\n    assert(np.all(np.isclose(x.gradient, a * b)))\n\n\n```",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://packages.python.org/easyGrad",
        "keywords": "autodiff machine-learning deep learning",
        "license": "License.md",
        "maintainer": "",
        "maintainer_email": "",
        "name": "easyGrad",
        "package_url": "https://pypi.org/project/easyGrad/",
        "platform": "",
        "project_url": "https://pypi.org/project/easyGrad/",
        "project_urls": {
            "Homepage": "http://packages.python.org/easyGrad"
        },
        "release_url": "https://pypi.org/project/easyGrad/1.0.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "A python package to do auto differentiation.",
        "version": "1.0.0"
    },
    "last_serial": 3128688,
    "releases": {
        "0.0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "26db512487fabfd803102f676589759b",
                    "sha256": "d17f2dcee4c7d4f6ccf99cc0befdefdedd4d73d3d1cf862000d510e223ec0c45"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.1.tar.gz",
                "has_sig": false,
                "md5_digest": "26db512487fabfd803102f676589759b",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5307,
                "upload_time": "2017-08-09T21:38:43",
                "url": "https://files.pythonhosted.org/packages/53/3b/10de158a4ba36aaf9b5e2be7553506c4d3accf04b5e09b6ef51acca62b11/easyGrad-0.0.1.tar.gz"
            }
        ],
        "0.0.2": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "98daf4123676af045f63358592531feb",
                    "sha256": "f30219129e99103fa1b4322022477ca45bf4f8f541b5b76cbcf5fcf5818e2be2"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.2.tar.gz",
                "has_sig": false,
                "md5_digest": "98daf4123676af045f63358592531feb",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 2026,
                "upload_time": "2017-08-09T21:51:50",
                "url": "https://files.pythonhosted.org/packages/18/43/c79644f30a481553929a9af00044c5fbc11bdc27f771a858def632c71416/easyGrad-0.0.2.tar.gz"
            }
        ],
        "0.0.3": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2f77864ca1b8e3c2613db549a293988d",
                    "sha256": "224629cf7fd746582f292a8ee17824b1430c4a453526e5d0b9aafc3bca8167fb"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.3.tar.gz",
                "has_sig": false,
                "md5_digest": "2f77864ca1b8e3c2613db549a293988d",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 3350,
                "upload_time": "2017-08-09T22:00:34",
                "url": "https://files.pythonhosted.org/packages/4d/49/30aac53ee0957873de2faaf1ac31a3bf2fa14c2dff0c121d9f877553bbb0/easyGrad-0.0.3.tar.gz"
            }
        ],
        "0.0.4": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "ae0902d44c4e17fce7a047c85254d3b1",
                    "sha256": "bbee61d3481a1ec6b6e5fcb7340eec7b6d29993e78c46e60f6e1fbfe4348519d"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.4-py2.7.egg",
                "has_sig": false,
                "md5_digest": "ae0902d44c4e17fce7a047c85254d3b1",
                "packagetype": "bdist_egg",
                "python_version": "2.7",
                "requires_python": null,
                "size": 20432,
                "upload_time": "2017-08-28T05:07:03",
                "url": "https://files.pythonhosted.org/packages/28/7e/b74c2a0a1ed9de5da66dab305df198bf5ba80c936819e37abce62d54da5a/easyGrad-0.0.4-py2.7.egg"
            },
            {
                "comment_text": "",
                "digests": {
                    "md5": "e9af9519c7c8318ecb57bfee4844ddb7",
                    "sha256": "843f676b6670cf2f325b16600551e29ec2572f57a9fc52ff47bbbe22107dfcc4"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.4.tar.gz",
                "has_sig": false,
                "md5_digest": "e9af9519c7c8318ecb57bfee4844ddb7",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 5507,
                "upload_time": "2017-08-28T04:21:39",
                "url": "https://files.pythonhosted.org/packages/7b/e2/6de72c5162b314f1c36e87f612e3bc201ed595b499d7efe9907002d0d65c/easyGrad-0.0.4.tar.gz"
            }
        ],
        "0.0.5": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "2116439d14dc0f7093e781e9ab27cef5",
                    "sha256": "9fa8e70c99bfbc5c718c1f7de41fa501cc6cdcf2f64245b46828a7c8928f3c11"
                },
                "downloads": -1,
                "filename": "easyGrad-0.0.5.tar.gz",
                "has_sig": false,
                "md5_digest": "2116439d14dc0f7093e781e9ab27cef5",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 6144,
                "upload_time": "2017-08-28T05:07:35",
                "url": "https://files.pythonhosted.org/packages/33/53/111367356d0fd107e6d38c5763bce349151d831d6d6eb9835e0550dd18c7/easyGrad-0.0.5.tar.gz"
            }
        ],
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "1461ba82e8a6e64ebdae601aadaf0941",
                    "sha256": "85cce77651587aae25851aa8f2b3654f5f98f8197c427f686e786247ffca7cc1"
                },
                "downloads": -1,
                "filename": "easyGrad-1.0.0.tar.gz",
                "has_sig": false,
                "md5_digest": "1461ba82e8a6e64ebdae601aadaf0941",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 6361,
                "upload_time": "2017-08-28T10:40:03",
                "url": "https://files.pythonhosted.org/packages/9a/99/35c5846e0942c7a0b82aa100b983bb1ca244c22060d7a9fd09b43d035594/easyGrad-1.0.0.tar.gz"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "1461ba82e8a6e64ebdae601aadaf0941",
                "sha256": "85cce77651587aae25851aa8f2b3654f5f98f8197c427f686e786247ffca7cc1"
            },
            "downloads": -1,
            "filename": "easyGrad-1.0.0.tar.gz",
            "has_sig": false,
            "md5_digest": "1461ba82e8a6e64ebdae601aadaf0941",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 6361,
            "upload_time": "2017-08-28T10:40:03",
            "url": "https://files.pythonhosted.org/packages/9a/99/35c5846e0942c7a0b82aa100b983bb1ca244c22060d7a9fd09b43d035594/easyGrad-1.0.0.tar.gz"
        }
    ]
}