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)
A collection of random and hastily hacked together scripts for investigating EU-DCC

A collection of random and hastily hacked together scripts for investigating EU-DCC

Ryan Barrett 8 Mar 01, 2022
Pytorch implementation of ICASSP 2022 paper Attention Probe: Vision Transformer Distillation in the Wild

Attention Probe: Vision Transformer Distillation in the Wild Jiahao Wang, Mingdeng Cao, Shuwei Shi, Baoyuan Wu, Yujiu Yang In ICASSP 2022 This code is

IIGROUP 6 Sep 21, 2022
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

63 Oct 17, 2022
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Method Overview Cite

DavidHuang 126 Dec 30, 2022
A Python script that creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editing software such as FinalCut Pro for further adjustments.

Text to Subtitles - Python This python file creates subtitles of a given length from text paragraphs that can be easily imported into any Video Editin

Dmytro North 9 Dec 24, 2022
Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)

A Unified Objective for Novel Class Discovery This is the official repository for the paper: A Unified Objective for Novel Class Discovery Enrico Fini

Enrico Fini 118 Dec 26, 2022
"SOLQ: Segmenting Objects by Learning Queries", SOLQ is an end-to-end instance segmentation framework with Transformer.

SOLQ: Segmenting Objects by Learning Queries This repository is an official implementation of the paper SOLQ: Segmenting Objects by Learning Queries.

MEGVII Research 179 Jan 02, 2023
Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Skeletal-GNN Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21 Various deep learning techniques have been propose

37 Oct 23, 2022
A project studying the influence of communication in multi-objective normal-form games

Communication in Multi-Objective Normal-Form Games This repo consists of five different types of agents that we have used in our study of communicatio

Willem Röpke 0 Dec 17, 2021
LegoDNN: a block-grained scaling tool for mobile vision systems

Table of contents 1 Introduction 1.1 Major features 1.2 Architecture 2 Code and Installation 2.1 Code 2.2 Installation 3 Repository of DNNs in vision

41 Dec 24, 2022
Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking."

Expert-Linking Pytorch implementation of the paper "COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking." This is

BoChen 12 Jan 01, 2023
Aircraft design optimization made fast through modern automatic differentiation

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

Peter Sharpe 394 Dec 23, 2022
Soft actor-critic is a deep reinforcement learning framework for training maximum entropy policies in continuous domains.

This repository is no longer maintained. Please use our new Softlearning package instead. Soft Actor-Critic Soft actor-critic is a deep reinforcement

Tuomas Haarnoja 752 Jan 07, 2023
[ACM MM 2021] Yes, "Attention is All You Need", for Exemplar based Colorization

Transformer for Image Colorization This is an implemention for Yes, "Attention Is All You Need", for Exemplar based Colorization, and the current soft

Wang Yin 30 Dec 07, 2022
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

pgmpy 2.2k Jan 03, 2023
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Antoine Caillon 589 Jan 02, 2023
Source code for the GPT-2 story generation models in the EMNLP 2020 paper "STORIUM: A Dataset and Evaluation Platform for Human-in-the-Loop Story Generation"

Storium GPT-2 Models This is the official repository for the GPT-2 models described in the EMNLP 2020 paper [STORIUM: A Dataset and Evaluation Platfor

Nader Akoury 27 Dec 20, 2022
Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

Zero-DCE and Zero-DCE++(Lite architechture for Mobile and edge Devices) Papers Abstract The paper presents a novel method, Zero-Reference Deep Curve E

Tauhid Khan 15 Dec 10, 2022
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals, CVPR2021

End-to-End Object Detection with Learnable Proposal, CVPR2021

Peize Sun 1.2k Dec 27, 2022
Code for the CVPR2022 paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

Introduction This is an official release of the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity" (arxiv link). Abstrac

Leo 21 Nov 23, 2022