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)
Pytorch Implementation of Residual Vision Transformers(ResViT)

ResViT Official Pytorch Implementation of Residual Vision Transformers(ResViT) which is described in the following paper: Onat Dalmaz and Mahmut Yurt

ICON Lab 41 Dec 08, 2022
Build a small, 3 domain internet using Github pages and Wikipedia and construct a crawler to crawl, render, and index.

TechSEO Crawler Build a small, 3 domain internet using Github pages and Wikipedia and construct a crawler to crawl, render, and index. Play with the r

JR Oakes 57 Nov 24, 2022
Neighborhood Reconstructing Autoencoders

Neighborhood Reconstructing Autoencoders The official repository for Neighborhood Reconstructing Autoencoders (Lee, Kwon, and Park, NeurIPS 2021). T

Yonghyeon Lee 24 Dec 14, 2022
Interactive Image Generation via Generative Adversarial Networks

iGAN: Interactive Image Generation via Generative Adversarial Networks Project | Youtube | Paper Recent projects: [pix2pix]: Torch implementation for

Jun-Yan Zhu 3.9k Dec 23, 2022
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Semantic Segmentation on MIT ADE20K dataset in PyTorch This is a PyTorch implementation of semantic segmentation models on MIT ADE20K scene parsing da

MIT CSAIL Computer Vision 4.5k Jan 08, 2023
Image Captioning on google cloud platform based on iot

Image-Captioning-on-google-cloud-platform-based-on-iot - Image Captioning on google cloud platform based on iot

Shweta_kumawat 1 Jan 20, 2022
Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression

Quantile Regression DQN Quantile Regression DQN a Minimal Working Example, Distributional Reinforcement Learning with Quantile Regression (https://arx

Arsenii Senya Ashukha 80 Sep 17, 2022
TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A good teacher is patient and consistent by Beyer et al.

FunMatch-Distillation TF2 implementation of knowledge distillation using the "function matching" hypothesis from the paper Knowledge distillation: A g

Sayak Paul 67 Dec 20, 2022
TensorFlow-based implementation of "Pyramid Scene Parsing Network".

PSPNet_tensorflow Important Code is fine for inference. However, the training code is just for reference and might be only used for fine-tuning. If yo

HsuanKung Yang 323 Dec 20, 2022
WSDM‘2022: Knowledge Enhanced Sports Game Summarization

Knowledge Enhanced Sports Game Summarization Cooming Soon! :) Data will be released after approval process. Code will be published once the author of

Jiaan Wang 14 Jul 13, 2022
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification

Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification This repository is the official implementation of [Dealing With Misspeci

0 Oct 25, 2021
An open-source Kazakh named entity recognition dataset (KazNERD), annotation guidelines, and baseline NER models.

Kazakh Named Entity Recognition This repository contains an open-source Kazakh named entity recognition dataset (KazNERD), named entity annotation gui

ISSAI 9 Dec 23, 2022
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres

Aaron (Yinghao) Li 282 Jan 01, 2023
This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

1 MAGNN This repo is the official implementation for Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting. 1.1 The frame

SZJ 12 Nov 08, 2022
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation(DANN), support Office-31 and Office-Home dataset

DANN A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation Prerequisites Linux or OSX NVIDIA GPU + CUDA (may CuDNN) and corre

8 Apr 16, 2022
A stock generator that assess a list of stocks and returns the best stocks for investing and money allocations based on users choices of volatility, duration and number of stocks

Stock-Generator Please visit "Stock Generator.ipynb" for a clearer view and "Stock Generator.py" for scripts. The stock generator is designed to allow

jmengnyay 1 Aug 02, 2022
A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up/down.

HandTrackingBrightnessControl A hand tracking demo made with mediapipe where you can control lights with pinching your fingers and moving your hand up

Teemu Laurila 19 Feb 12, 2022
CausaLM: Causal Model Explanation Through Counterfactual Language Models

CausaLM: Causal Model Explanation Through Counterfactual Language Models Authors: Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart Abstract: Understan

Amir Feder 39 Jul 10, 2022
Generating Radiology Reports via Memory-driven Transformer

R2Gen This is the implementation of Generating Radiology Reports via Memory-driven Transformer at EMNLP-2020. Citations If you use or extend our work,

CUHK-SZ NLP Group 101 Dec 13, 2022
Cobalt Strike teamserver detection.

Cobalt-Strike-det Cobalt Strike teamserver detection. usage: cobaltstrike_verify.py [-l TARGETS] [-t THREADS] optional arguments: -h, --help show this

TimWhite 17 Sep 27, 2022