Metadata-Version: 1.0
Name: stackeddag
Version: 0.3.2
Summary: A visualization tool to show a ascii graph from Graphviz-Dot-file or Tensorflow
Home-page: https://github.com/junjihashimoto/py-stacked-dag
Author: Junji Hashimoto
Author-email: junji.hashimoto@gmail.com
License: MIT
Description: 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
        
Keywords: tensorflow tensor machine-learning graphviz ascii dag ml deep-learning neural-network
Platform: UNKNOWN
