semvec/pypi-packages huggingface dataset:
tfgraphviz 0.0.8
A visualization tool to show a graph like TensorFlow and TensorBoard
License: MIT
Keywords: tensorflow tensor machine-learning graphviz ml deep-learning neural-network

tfgraphviz
================

.. image:: https://img.shields.io/github/license/akimach/tfgraphviz.svg
   :alt: GitHub license
   :target: https://github.com/akimach/tfgraphviz/blob/master/LICENSE

.. image:: https://badge.fury.io/py/tfgraphviz.svg
   :target: https://badge.fury.io/py/tfgraphviz

tfgraphviz 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.

Links
-----

- GitHub: http://github.com/akimach/tfgraphviz
- PyPI: https://pypi.python.org/pypi/tfgraphviz
- Jupyter Notebook:

  .. image:: https://mybinder.org/badge.svg
   :target: https://mybinder.org/v2/gh/akimach/tfgraphviz/master?filepath=examples%2Fjupyter_sample.ipynb

  .. image:: https://img.shields.io/badge/view%20on-nbviewer-brightgreen.svg
   :target: https://nbviewer.jupyter.org/github/akimach/tfgraphviz/blob/master/examples/jupyter_sample.ipynb

Installation
------------

Use pip to install:

.. code-block:: bash

    $ pip install graphviz
    $ pip install tfgraphviz

The only dependency is  Graphviz.

macOS:

.. code-block:: bash

    $ brew install graphviz

Ubuntu:

.. code-block:: bash

    $ apt-get install graphviz

Quickstart
----------

.. code-block:: python

    import tensorflow as tf
    import tfgraphviz as tfg

    g = tf.Graph()
    with g.as_default():
        a = tf.constant(1, name="a")
        b = tf.constant(2, name="b")
        c = tf.add(a, b, name="add")
    tfg.board(g)

.. image:: https://raw.githubusercontent.com/akimach/tfgraphviz/master/img/graph.jpg
    :align: center

License
-------

This package is distributed under the `MIT license <https://raw.githubusercontent.com/akimach/tfgraphviz/master/LICENSE>`_.

Author
-------

`Akimasa KIMURA <https://github.com/akimach>`_