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pedro
2019-01-31 18:11:55 -03:00
parent 595cd2b4fe
commit 3ec6f4c617
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.gitignore
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*.aux
*.log
*.gz
__pycache__
books
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
README.md
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# PlotNeuralNet
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2526396.svg)](https://doi.org/10.5281/zenodo.2526396)
Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.
Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.
## TODO
- [X] Python interfaz
- [ ] Pytorch generate graph arquiture
- [ ] Add easy legend functionality
- [ ] Add more layer shapes like TruncatedPyramid, 2DSheet etc
## Usage
mkdir my_project
cd my_project
vim my_arch.py
import sys
sys.path.append('../')
from core.tikzeng import *
# defined your arch
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
to_Conv( 'conv1', 572, 64, offset="(0,0,0)", to="(0,0,0)" ),
to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"),
to_SoftMax( "soft1", "SOFT", 10 ,"(3,0,0)", "(pool1-east)" ),
to_connection( "pool1", "soft1"),
to_end()
]
def main():
namefile = str(sys.argv[0]).split('.')[0]
to_generate(arch, namefile + '.tex' )
if __name__ == '__main__':
main()
bash ../tikzmake.sh my_arch
## Examples
Following are some network representations:
<p align="center"><img src="https://user-images.githubusercontent.com/17570785/50308846-c2231880-049c-11e9-8763-3daa1024de78.png" width="85%" height="85%"></p>
core/__init__.py
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core/blocks.py
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from .tikzeng import *
#define new block
def block_2ConvPool( name, botton, top, s_filer=256, n_filer=64, offset="(1,0,0)", size=(32,32,3.5), opacity=0.5 ):
return [
to_ConvConvRelu(
name="ccr_{}".format( name ),
s_filer=str(s_filer),
n_filer=(n_filer,n_filer),
offset=offset,
to="({}-east)".format( botton ),
width=(size[2],size[2]),
height=size[0],
depth=size[1],
),
to_Pool(
name="{}".format( top ),
offset="(0,0,0)",
to="(ccr_{}-east)".format( name ),
width=1,
height=size[0] - int(size[0]/4),
depth=size[1] - int(size[0]/4),
opacity=opacity, ),
to_connection(
"{}".format( botton ),
"ccr_{}".format( name )
)
]
def block_Unconv( name, botton, top, s_filer=256, n_filer=64, offset="(1,0,0)", size=(32,32,3.5), opacity=0.5 ):
return [
to_UnPool( name='unpool_{}'.format(name), offset=offset, to="({}-east)".format(botton), width=1, height=size[0], depth=size[1], opacity=opacity ),
to_ConvRes( name='ccr_res_{}'.format(name), offset="(0,0,0)", to="(unpool_{}-east)".format(name), s_filer=str(s_filer), n_filer=str(n_filer), width=size[2], height=size[0], depth=size[1], opacity=opacity ),
to_Conv( name='ccr_{}'.format(name), offset="(0,0,0)", to="(ccr_res_{}-east)".format(name), s_filer=str(s_filer), n_filer=str(n_filer), width=size[2], height=size[0], depth=size[1] ),
to_ConvRes( name='ccr_res_c_{}'.format(name), offset="(0,0,0)", to="(ccr_{}-east)".format(name), s_filer=str(s_filer), n_filer=str(n_filer), width=size[2], height=size[0], depth=size[1], opacity=opacity ),
to_Conv( name='{}'.format(top), offset="(0,0,0)", to="(ccr_res_c_{}-east)".format(name), s_filer=str(s_filer), n_filer=str(n_filer), width=size[2], height=size[0], depth=size[1] ),
to_connection(
"{}".format( botton ),
"unpool_{}".format( name )
)
]
core/tikzeng.py
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import os
def to_head( projectpath ):
pathlayers = os.path.join( projectpath, 'layers/' )
return r"""
\documentclass[border=8pt, multi, tikz]{standalone}
\usepackage{import}
\subimport{"""+ pathlayers + r"""}{init}
\usetikzlibrary{positioning}
"""
def to_cor():
return r"""
\def\ConvColor{rgb:yellow,5;red,2.5;white,5}
\def\ConvReluColor{rgb:yellow,5;red,5;white,5}
\def\PoolColor{rgb:red,1;black,0.3}
\def\UnpoolColor{rgb:blue,2;green,1;black,0.3}
\def\FcColor{rgb:blue,5;red,2.5;white,5}
\def\FcReluColor{rgb:blue,5;red,5;white,4}
\def\SoftmaxColor{rgb:magenta,5;black,7}
"""
def to_begin():
return r"""
\newcommand{\copymidarrow}{\tikz \draw[-Stealth,line width=0.8mm,draw={rgb:blue,4;red,1;green,1;black,3}] (-0.3,0) -- ++(0.3,0);}
\begin{document}
\begin{tikzpicture}
\tikzstyle{connection}=[ultra thick,every node/.style={sloped,allow upside down},draw=\edgecolor,opacity=0.7]
\tikzstyle{copyconnection}=[ultra thick,every node/.style={sloped,allow upside down},draw={rgb:blue,4;red,1;green,1;black,3},opacity=0.7]
"""
# layers definition
# Conv
def to_Conv( name, s_filer=256, n_filer=64, offset="(0,0,0)", to="(0,0,0)", width=1, height=40, depth=40, caption=" " ):
return r"""
\pic[shift={"""+ offset +"""}] at """+ to +"""
{Box={
name=""" + name +""",
caption="""+ caption +r""",
xlabel={{"""+ str(n_filer) +""", }},
zlabel="""+ str(s_filer) +""",
fill=\ConvColor,
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
# Conv,Conv,relu
# Bottleneck
def to_ConvConvRelu( name, s_filer=256, n_filer=(64,64), offset="(0,0,0)", to="(0,0,0)", width=(2,2), height=40, depth=40, caption=" " ):
return r"""
\pic[shift={ """+ offset +""" }] at """+ to +"""
{RightBandedBox={
name="""+ name +""",
caption="""+ caption +""",
xlabel={{ """+ str(n_filer[0]) +""", """+ str(n_filer[1]) +""" }},
zlabel="""+ str(s_filer) +""",
fill=\ConvColor,
bandfill=\ConvReluColor,
height="""+ str(height) +""",
width={ """+ str(width[0]) +""" , """+ str(width[1]) +""" },
depth="""+ str(depth) +"""
}
};
"""
# Pool
def to_Pool(name, offset="(0,0,0)", to="(0,0,0)", width=1, height=32, depth=32, opacity=0.5, caption=" "):
return r"""
\pic[shift={ """+ offset +""" }] at """+ to +"""
{Box={
name="""+name+""",
caption="""+ caption +r""",
fill=\PoolColor,
opacity="""+ str(opacity) +""",
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
# unpool4,
def to_UnPool(name, offset="(0,0,0)", to="(0,0,0)", width=1, height=32, depth=32, opacity=0.5, caption=" "):
return r"""
\pic[shift={ """+ offset +""" }] at """+ to +"""
{Box={
name="""+ name +r""",
caption="""+ caption +r""",
fill=\UnpoolColor,
opacity="""+ str(opacity) +""",
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
def to_ConvRes( name, s_filer=256, n_filer=64, offset="(0,0,0)", to="(0,0,0)", width=6, height=40, depth=40, opacity=0.2, caption=" " ):
return r"""
\pic[shift={ """+ offset +""" }] at """+ to +"""
{RightBandedBox={
name="""+ name + """,
caption="""+ caption + """,
xlabel={{ """+ str(n_filer) + """, }},
zlabel="""+ str(s_filer) +r""",
fill={rgb:white,1;black,3},
bandfill={rgb:white,1;black,2},
opacity="""+ str(opacity) +""",
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
# ConvSoftMax
def to_ConvSoftMax( name, s_filer=40, offset="(0,0,0)", to="(0,0,0)", width=1, height=40, depth=40, caption=" " ):
return r"""
\pic[shift={"""+ offset +"""}] at """+ to +"""
{Box={
name=""" + name +""",
caption="""+ caption +""",
zlabel="""+ str(s_filer) +""",
fill=\SoftmaxColor,
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
# SoftMax
def to_SoftMax( name, s_filer=10, offset="(0,0,0)", to="(0,0,0)", width=1.5, height=3, depth=25, opacity=0.8, caption=" " ):
return r"""
\pic[shift={"""+ offset +"""}] at """+ to +"""
{Box={
name=""" + name +""",
caption="""+ caption +""",
xlabel={{"","dummy"}},
zlabel="""+ str(s_filer) +""",
fill=\SoftmaxColor,
opacity="""+ str(opacity) +""",
height="""+ str(height) +""",
width="""+ str(width) +""",
depth="""+ str(depth) +"""
}
};
"""
def to_connection( of, to):
return r"""
\draw [connection] ("""+of+"""-east) -- node {\midarrow} ("""+to+"""-west);
"""
def to_skip( of, to, pos=1.25):
return r"""
\path ("""+ of +"""-southeast) -- ("""+ of +"""-northeast) coordinate[pos="""+ str(pos) +"""] ("""+ of +"""-top) ;
\path ("""+ to +"""-south) -- ("""+ to +"""-north) coordinate[pos=1.25] ("""+ to +"""-top) ;
\draw [copyconnection] ("""+of+"""-northeast)
-- node {\copymidarrow}("""+of+"""-top)
-- node {\copymidarrow}("""+to+"""-top)
-- node {\copymidarrow} ("""+to+"""-north);
"""
def to_end():
return r"""
\end{tikzpicture}
\end{document}
"""
def to_generate( arch, pathname="file.tex" ):
with open(pathname, "w") as f:
for c in arch:
print(c)
f.write( c )
test/test_simple.py
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import sys
sys.path.append('../')
from core.tikzeng import *
# defined your arch
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
to_Conv( 'conv1', 572, 64, offset="(0,0,0)", to="(0,0,0)" ),
to_Pool("pool1", offset="(0,0,0)", to="(conv1-east)"),
to_SoftMax( "soft1", "SOFT", 10 ,"(3,0,0)", "(pool1-east)" ),
to_connection( "pool1", "soft1"),
to_end()
]
def main():
namefile = str(sys.argv[0]).split('.')[0]
to_generate(arch, namefile + '.tex' )
if __name__ == '__main__':
main()
test/unet.py
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import sys
sys.path.append('../')
from core.tikzeng import *
from core.blocks import *
arch = [
to_head('..'),
to_cor(),
to_begin(),
#input
## code here
#block-001
to_ConvConvRelu( name='ccr_b1', s_filer=500, n_filer=(64,64), offset="(0,0,0)", to="(0,0,0)", width=(2,2), height=40, depth=40 ),
to_Pool(name="pool_b1", offset="(0,0,0)", to="(ccr_b1-east)", width=1, height=32, depth=32, opacity=0.5),
*block_2ConvPool( name='b2', botton='pool_b1', top='pool_b2', s_filer=256, n_filer=128, offset="(1,0,0)", size=(32,32,3.5), opacity=0.5 ),
*block_2ConvPool( name='b3', botton='pool_b2', top='pool_b3', s_filer=128, n_filer=256, offset="(1,0,0)", size=(25,25,4.5), opacity=0.5 ),
*block_2ConvPool( name='b4', botton='pool_b3', top='pool_b4', s_filer=64, n_filer=512, offset="(1,0,0)", size=(16,16,5.5), opacity=0.5 ),
#Bottleneck
#block-005
to_ConvConvRelu( name='ccr_b5', s_filer=32, n_filer=(1024,1024), offset="(2,0,0)", to="(pool_b4-east)", width=(8,8), height=8, depth=8, caption="Bottleneck" ),
to_connection( "pool_b4", "ccr_b5"),
#Decoder
*block_Unconv( name="b6", botton="ccr_b5", top='end_b6', s_filer=64, n_filer=512, offset="(2.1,0,0)", size=(16,16,5.0), opacity=0.5 ),
to_skip( of='ccr_b4', to='ccr_res_b6', pos=1.25),
*block_Unconv( name="b7", botton="end_b6", top='end_b7', s_filer=128, n_filer=256, offset="(2.1,0,0)", size=(25,25,4.5), opacity=0.5 ),
to_skip( of='ccr_b3', to='ccr_res_b7', pos=1.25),
*block_Unconv( name="b8", botton="end_b7", top='end_b8', s_filer=256, n_filer=128, offset="(2.1,0,0)", size=(32,32,3.5), opacity=0.5 ),
to_skip( of='ccr_b2', to='ccr_res_b8', pos=1.25),
*block_Unconv( name="b9", botton="end_b8", top='end_b9', s_filer=512, n_filer=64, offset="(2.1,0,0)", size=(40,40,2.5), opacity=0.5 ),
to_skip( of='ccr_b1', to='ccr_res_b9', pos=1.25),
to_ConvSoftMax( name="soft1", s_filer=512, offset="(0.75,0,0)", to="(end_b9-east)", width=1, height=40, depth=40, caption="SOFT" ),
to_connection( "end_b9", "soft1"),
to_end()
]
def main():
namefile = str(sys.argv[0]).split('.')[0]
to_generate(arch, namefile + '.tex' )
if __name__ == '__main__':
main()
tikzmake.sh
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#!/bin/bash
python $1.py
pdflatex $1.tex
rm *.aux *.log *.vscodeLog
rm *.tex
evince $1.pdf