A visualization tool to show a TensorFlow's graph like TensorBoard

Overview

tfgraphviz

GitHub license

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

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

Comments
  • Add Binder support

    Add Binder support

    To get the example working in Binder the only required pip installable package is tensorflow and from apt-get is graphviz. The postBuild will install tfgraphviz from GitHub so that it always gets the master HEAD, so that if there is something broken for a bit on PyPI it won't continue to be a problem until a new release is made.

    opened by matthewfeickert 2
  • added pan and zoom support for jupyter

    added pan and zoom support for jupyter

    Added tfg.jupyter_pan_and_zoom helper to wrap generated SVG object In order to enable pan and zoom functionality in Jupyter:

    tfg.jupyter_pan_and_zoom(tfg.board(graph))
    

    Tested in JupyterLab and Colab.

    opened by vlasenkoalexey 1
  • Extending functionality

    Extending functionality

    • Added proper tooltips
    • Fixed logic to render function names to check op type, not op name
    • Added ability to override functions to create digraph, node and edge like:
    def custom_add_digraph_node(digraph, name, op, attributes=None):
        attributes=[]
        if op is not None and 'PartitionedCall' in op.type:
            attributes.append(('fillcolor', 'blue'))
        tfg.add_digraph_node(digraph, name, op, attributes)
    
    tfg.board(tf_g, depth=10, name_regex=".*", add_digraph_node_func=custom_add_digraph_node)
    
    opened by vlasenkoalexey 1
  • For Python3.x

    For Python3.x

    Fixed to work on Python 3.x:

    • Change IMPLICIT relative imports (from graphviz_wrapper import board) to EXPLICIT relative imports (from .graphviz_wrapper import board).
    • (In addition, ) remove unnecessary imports.

    Checked to work both Python 2.7.x/3.5.x with TensorFlow 1.0.

    opened by antimon2 1
  • UnicodeDecodeError on loading the graph.

    UnicodeDecodeError on loading the graph.

    I am getting the following error. Is unicode in tf variable/scope names not supported?

    <ipython-input-2-b2099ef84663> in load(self)
        143         # sess = tf.Session(graph=tf.get_default_graph())
        144         self.sess.run(self.init)
    --> 145         g = tfg.board(tf.get_default_graph())
        146         g.view()
        147         self.saver.restore(self.sess, model_path)
    
    /Users/activeai/.local/share/virtualenvs/spotter-67LXOL6z/lib/python2.7/site-packages/tfgraphviz/graphviz_wrapper.pyc in board(tfgraph, depth, name, style)
        212     _node_inpt_table, _node_inpt_shape_table = node_input_table(tfgraph, depth=depth)
        213     digraph = add_nodes(_node_table, name=name, style=style)
    --> 214     digraph = add_edges(digraph, _node_inpt_table, _node_inpt_shape_table)
        215     return digraph
    
    /Users/activeai/.local/share/virtualenvs/spotter-67LXOL6z/lib/python2.7/site-packages/tfgraphviz/graphviz_wrapper.pyc in add_edges(digraph, node_inpt_table, node_inpt_shape_table)
        195             else:
        196                 shape = node_inpt_shape_table[ni]
    --> 197                 digraph.edge(ni, node, label=edge_label(shape))
        198     return digraph
        199 
    
    /Users/activeai/.local/share/virtualenvs/spotter-67LXOL6z/lib/python2.7/site-packages/graphviz/dot.pyc in edge(self, tail_name, head_name, label, _attributes, **attrs)
        145         head_name = self._quote_edge(head_name)
        146         attr_list = self._attr_list(label, attrs, _attributes)
    --> 147         line = self._edge % (tail_name, head_name, attr_list)
        148         self.body.append(line)
        149 
    
    UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 10: ordinal not in range(128)
    
    opened by malarinv 0
Releases(0.0.8)
efficient neural audio synthesis in the waveform domain

neural waveshaping synthesis real-time neural audio synthesis in the waveform domain paper • website • colab • audio by Ben Hayes, Charalampos Saitis,

Ben Hayes 169 Dec 23, 2022
AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models

AI-UPV at IberLEF-2021 EXIST task: Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models Descrip

Angel de Paula 1 Jun 08, 2022
CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.

SMPLify-XMC This repo is part of our project: On Self-Contact and Human Pose. [Project Page] [Paper] [MPI Project Page] License Software Copyright Lic

Lea Müller 83 Dec 14, 2022
Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Implementing Graph Convolutional Networks and Information Retrieval Mechanisms using pure Python and NumPy

Noah Getz 3 Jun 22, 2022
Job-Recommend-Competition - Vectorwise Interpretable Attentions for Multimodal Tabular Data

SiD - Simple Deep Model Vectorwise Interpretable Attentions for Multimodal Tabul

Jungwoo Park 40 Dec 22, 2022
TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos? Source: Improving Vision Transformer Efficiency and Accuracy by Learning to Tokenize

Aritra Roy Gosthipaty 23 Dec 24, 2022
An OpenAI Gym environment for Super Mario Bros

gym-super-mario-bros An OpenAI Gym environment for Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The Nintendo Entertainment System (NES) us

Andrew Stelmach 1 Jan 05, 2022
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

This repository holds NVIDIA-maintained utilities to streamline mixed precision and distributed training in Pytorch. Some of the code here will be included in upstream Pytorch eventually. The intenti

NVIDIA Corporation 6.9k Jan 03, 2023
Copy Paste positive polyp using poisson image blending for medical image segmentation

Copy Paste positive polyp using poisson image blending for medical image segmentation According poisson image blending I've completely used it for bio

Phạm Vũ Hùng 2 Oct 19, 2021
Pytorch implementation of DeePSiM

Pytorch implementation of DeePSiM

1 Nov 05, 2021
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8

FGVC8 Exploring Vision Transformers for Fine-grained Classification paper presented at the CVPR 2021, The Eight Workshop on Fine-Grained Visual Catego

Marcos V. Conde 19 Dec 06, 2022
A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

Spiking Neural Network training with EventProp This is an unofficial PyTorch implemenation of EventProp, a method to compute exact gradients for Spiki

Pedro Savarese 35 Jul 29, 2022
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.

ChebLieNet: Invariant spectral graph NNs turned equivariant by Riemannian geometry on Lie groups Hugo Aguettaz, Erik J. Bekkers, Michaël Defferrard We

haguettaz 12 Dec 10, 2022
Time-Optimal Planning for Quadrotor Waypoint Flight

Time-Optimal Planning for Quadrotor Waypoint Flight This is an example implementation of the paper "Time-Optimal Planning for Quadrotor Waypoint Fligh

Robotics and Perception Group 38 Dec 02, 2022
This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Developed By Google!

Machine Learning Hand Detector This is a Machine Learning Based Hand Detector Project, It Uses Machine Learning Models and Modules Like Mediapipe, Dev

Popstar Idhant 3 Feb 25, 2022
Demo code for paper "Learning optical flow from still images", CVPR 2021.

Depthstillation Demo code for "Learning optical flow from still images", CVPR 2021. [Project page] - [Paper] - [Supplementary] This code is provided t

130 Dec 25, 2022
Put blind watermark into a text with python

text_blind_watermark Put blind watermark into a text. Can be used in Wechat dingding ... How to Use install pip install text_blind_watermark Alice Pu

郭飞 164 Dec 30, 2022
A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.

A-ESRGAN: Training Real-World Blind Super-Resolution with Attention-based U-net Discriminators The authors are hidden for the purpose of double blind

77 Dec 16, 2022
(AAAI2022) Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

SM-PPM This is a Pytorch implementation of our paper "Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Seman

W-zx-Y 10 Dec 07, 2022
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation

TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation Zhaoyun Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li

DamoCV 25 Dec 16, 2022