semvec/pypi-packages huggingface dataset:
stackeddag 0.3.4
A visualization tool to show a ascii graph from Graphviz-Dot-file or Tensorflow
License: MIT
Keywords: tensorflow tensor machine-learning graphviz ascii dag ml deep-learning neural-network

stacked-dag for python
======================

|Build Status|

Ascii DAG for visualization of dataflow

stacked-dag can show Ascii-DAG(Directed acyclic graph) from a Dot file
of graphviz. Dataflow's direction is from top to bottom. 'o' means a
node. A label of the node is shown to the left side. Other characters
are edges of DAG.

A sample of DAG is below.

::

    o o    l0,l4
    |/
    o    l1
    |
    o    l2
    |
    o    l3

Usage with dot
==============

Write a Dot file of graphviz.

::

    $ cat > sample.dot
    digraph graphname {
      0 [label="l0"];
      1 [label="l1"];
      2 [label="l2"];
      3 [label="l3"];
      4 [label="l4"];
      0->1;
      1->2;
      2->3;
      4->1;
    }

Show ascii DAG by following command.

::

    $ python stackeddag.py sample.dot
    o o    l0,l4
    |/
    o    l1
    |
    o    l2
    |
    o    l3

Usage with tensorflow
=====================

::

    import tensorflow as tf
    import stackeddag.tf as sd

    def mydataflow():
      a = tf.constant(1,name="a")
      b = tf.constant(2,name="b")
      c = tf.add(a,b,name="c")
      return tf.get_default_graph()

    print(sd.fromGraph(mydataflow()),end="")

The output is below.

::

    o o    a,b
    |/
    o    c

Another sample
==============

::

    $ python stackeddag.py sample/test.dot
    o
    |
    o
    |\
    o |
    | |\
    o o |
    |\ \ \
    | | |\ \
    | | | | |\
    o o o o o |
    |/ /_/ / /
    | |  / /
    o o o o
    |/_/_/
    o

.. |Build Status| image:: https://travis-ci.org/junjihashimoto/py-stacked-dag.png?branch=master
   :target: https://travis-ci.org/junjihashimoto/py-stacked-dag