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Convert submodule PlotNeuralNet into a regular folder

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This commit is contained in:
Jan Kowalczyk
2025-08-13 14:13:00 +02:00
parent bb875cc08e
commit ef0ce7db89
42 changed files with 3856 additions and 0 deletions
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0
thesis/third_party/PlotNeuralNet/pycore/__init__.py vendored Normal file
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thesis/third_party/PlotNeuralNet/pycore/__init__.pyc vendored Normal file
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thesis/third_party/PlotNeuralNet/pycore/blocks.py vendored Normal file
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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 )
)
]
def block_Res( num, name, botton, top, s_filer=256, n_filer=64, offset="(0,0,0)", size=(32,32,3.5), opacity=0.5 ):
lys = []
layers = [ *[ '{}_{}'.format(name,i) for i in range(num-1) ], top]
for name in layers:
ly = [ to_Conv(
name='{}'.format(name),
offset=offset,
to="({}-east)".format( botton ),
s_filer=str(s_filer),
n_filer=str(n_filer),
width=size[2],
height=size[0],
depth=size[1]
),
to_connection(
"{}".format( botton ),
"{}".format( name )
)
]
botton = name
lys+=ly
lys += [
to_skip( of=layers[1], to=layers[-2], pos=1.25),
]
return lys

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thesis/third_party/PlotNeuralNet/pycore/tikzeng.py vendored Normal file
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import os
def to_head(projectpath):
pathlayers = os.path.join(projectpath, "layers/").replace("\\", "/")
return (
r"""
\documentclass[border=8pt, multi, tikz]{standalone}
\usepackage{import}
\subimport{"""
+ pathlayers
+ r"""}{init}
\usetikzlibrary{positioning}
\usetikzlibrary{3d} %for including external image
"""
)
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\SumColor{rgb:blue,5;green,15}
"""
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
def to_input(pathfile, to="(-3,0,0)", width=8, height=8, name="temp"):
return (
r"""
\node[canvas is zy plane at x=0] ("""
+ name
+ """) at """
+ to
+ """ {\includegraphics[width="""
+ str(width)
+ "cm"
+ """,height="""
+ str(height)
+ "cm"
+ """]{"""
+ pathfile
+ """}};
"""
)
# 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_Sum(name, offset="(0,0,0)", to="(0,0,0)", radius=2.5, opacity=0.6):
return (
r"""
\pic[shift={"""
+ offset
+ """}] at """
+ to
+ """
{Ball={
name="""
+ name
+ """,
fill=\SumColor,
opacity="""
+ str(opacity)
+ """,
radius="""
+ str(radius)
+ """,
logo=$+$
}
};
"""
)
def to_fc(
name,
n_filer=120,
offset="(0,0,0)",
to="(0,0,0)",
width=2,
height=2,
depth=10,
caption=" ",
# titlepos=0,
):
return (
r"""
\pic[shift={"""
+ offset
+ """}] at """
+ to
+ """
{Box={
name="""
+ name
+ """,
caption="""
+ caption
+ """,
xlabel={{" ","dummy"}},
zlabel="""
+ str(n_filer)
+ """,
fill=\FcColor,
opacity=0.8,
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="""
+ str(pos)
+ """] ("""
+ 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)

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thesis/third_party/PlotNeuralNet/pycore/tikzeng.pyc vendored Normal file
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