A visualization tool to show a graph like TensorFlow and TensorBoard

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  • License: MIT License (MIT)
  • Author: akimacho
  • Tags tensorflow, tensor, machine-learning, graphviz, ml, deep-learning, neural-network
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Project description

GitHub license https://badge.fury.io/py/tfgraphviz.svg

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.

Installation

Use pip to install:

$ pip install graphviz
$ pip install tfgraphviz

The only dependency is Graphviz.

macOS:

$ brew install graphviz

Ubuntu:

$ apt-get install graphviz

Quickstart

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)
https://raw.githubusercontent.com/akimach/tfgraphviz/master/img/graph.jpg

License

This package is distributed under the MIT license.

Author

Akimasa KIMURA

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