{ "info": { "author": "akimacho", "author_email": "kimura.akimasa@gmail.com", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3.3", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "tfgraphviz\n================\n\n.. image:: https://img.shields.io/github/license/akimach/tfgraphviz.svg\n :alt: GitHub license\n :target: https://github.com/akimach/tfgraphviz/blob/master/LICENSE\n\n.. image:: https://badge.fury.io/py/tfgraphviz.svg\n :target: https://badge.fury.io/py/tfgraphviz\n\ntfgraphviz is a module to visualize a TensorFlow's data flow graph like TensorBoard using Graphviz. tfgraphviz enables to provide a visualization of tensorflow graph on Jupyter Notebook without TensorBoard.\n\nLinks\n-----\n\n- GitHub: http://github.com/akimach/tfgraphviz\n- PyPI: https://pypi.python.org/pypi/tfgraphviz\n- Jupyter Notebook:\n\n .. image:: https://mybinder.org/badge.svg\n :target: https://mybinder.org/v2/gh/akimach/tfgraphviz/master?filepath=examples%2Fjupyter_sample.ipynb\n\n .. image:: https://img.shields.io/badge/view%20on-nbviewer-brightgreen.svg\n :target: https://nbviewer.jupyter.org/github/akimach/tfgraphviz/blob/master/examples/jupyter_sample.ipynb\n\nInstallation\n------------\n\nUse pip to install:\n\n.. code-block:: bash\n\n $ pip install graphviz\n $ pip install tfgraphviz\n\nThe only dependency is Graphviz.\n\nmacOS:\n\n.. code-block:: bash\n\n $ brew install graphviz\n\nUbuntu:\n\n.. code-block:: bash\n\n $ apt-get install graphviz\n\nQuickstart\n----------\n\n.. code-block:: python\n\n import tensorflow as tf\n import tfgraphviz as tfg\n a = tf.constant(1, name=\"a\")\n b = tf.constant(2, name=\"b\")\n c = tf.add(a, b, name=\"add\")\n g = tfg.board(tf.get_default_graph())\n g.view()\n\n.. image:: 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