unignored pdfs, added network arch diagrams
This commit is contained in:
Jan Kowalczyk
@@ -1,6 +1,6 @@
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# ====== CONFIG ======
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# Add names (without extension). Example: NAMES = report thesis notes
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NAMES = subter_lenet_arch subter_ef_arch
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NAMES = subter_lenet_arch subter_ef_arch arch_ef_encoder arch_ef_decoder arch_lenet_encoder arch_lenet_decoder
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TEX = $(NAMES:%=%.tex)
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PDF = $(NAMES:%=%.pdf)
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189
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_decoder.py
vendored
Normal file
189
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_decoder.py
vendored
Normal file
@@ -0,0 +1,189 @@
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# subter_lenet_arch.py
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# Requires running from inside the PlotNeuralNet repo, like: python3 ../subter_lenet_arch.py
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import sys, argparse
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sys.path.append("../") # import pycore from repo root
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from pycore.tikzeng import *
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parser = argparse.ArgumentParser()
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parser.add_argument("--rep_dim", type=int, default=1024, help="latent size for FC")
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args = parser.parse_args()
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REP = int(args.rep_dim)
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# Visual scales so the huge width doesn't dominate the figure
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H32, H16, H8, H1 = 26, 18, 12, 1
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D2048, D1024, D512, D256, D128, D1 = 52, 36, 24, 12, 6, 1
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W1, W4, W8, W16, W32 = 1, 2, 2, 4, 8
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arch = [
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to_head(".."),
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to_cor(),
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to_begin(),
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to_Conv(
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"latent",
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n_filer="",
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s_filer="latent dim",
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offset="(2,0,0)",
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to="(0,0,0)",
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height=H8 * 1.6,
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depth=D1,
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width=W1,
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caption=f"Latent Space",
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),
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# to_connection("fc1", "latent"),
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# --------------------------- DECODER ---------------------------
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# FC back to 16384
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to_fc(
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"fc3",
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n_filer="{{8×128×8}}",
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offset="(2,0,0)",
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to="(latent-east)",
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height=H1,
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depth=D512,
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width=W1,
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caption=f"FC",
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),
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to_Conv(
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"unsqueeze",
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s_filer="",
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n_filer=32,
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offset="(2,0,0)",
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to="(fc3-east)",
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height=H8,
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depth=D128,
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width=W32,
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caption="unsqueeze",
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),
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# to_connection("latent", "fc3"),
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# Reshape to 4×8×512
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to_UnPool(
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"up1",
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offset="(2,0,0)",
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to="(unsqueeze-east)",
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height=H16,
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depth=D256,
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width=W32,
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caption="",
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),
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to_Conv(
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"dwdeconv1",
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s_filer="",
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n_filer=1,
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offset="(0,0,0)",
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to="(up1-east)",
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height=H16,
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depth=D256,
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width=W1,
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caption="deconv1",
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),
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to_Conv(
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"dwdeconv2",
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s_filer="{{256×16}}",
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n_filer=32,
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offset="(0,0,0)",
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to="(dwdeconv1-east)",
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height=H16,
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depth=D256,
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width=W32,
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caption="",
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),
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to_UnPool(
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"up2",
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offset="(2,0,0)",
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to="(dwdeconv2-east)",
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height=H16,
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depth=D1024,
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width=W32,
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caption="",
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),
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to_Conv(
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"dwdeconv3",
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s_filer="",
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n_filer=1,
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offset="(0,0,0)",
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to="(up2-east)",
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height=H16,
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depth=D1024,
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width=W1,
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caption="deconv2",
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),
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to_Conv(
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"dwdeconv4",
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s_filer="{{1024×16}}",
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n_filer=16,
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offset="(0,0,0)",
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to="(dwdeconv3-east)",
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height=H16,
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depth=D1024,
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width=W16,
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caption="",
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),
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to_UnPool(
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"up3",
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offset="(2,0,0)",
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to="(dwdeconv4-east)",
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height=H32,
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depth=D2048,
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width=W16,
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caption="",
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),
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to_Conv(
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"dwdeconv5",
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s_filer="",
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n_filer=1,
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offset="(0,0,0)",
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to="(up3-east)",
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height=H32,
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depth=D2048,
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width=W1,
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caption="deconv3",
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),
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to_Conv(
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"dwdeconv6",
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s_filer="{{2048×32}}",
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n_filer=8,
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offset="(0,0,0)",
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to="(dwdeconv5-east)",
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height=H32,
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depth=D2048,
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width=W8,
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caption="",
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),
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to_Conv(
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"outconv",
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s_filer="{{2048×32}}",
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n_filer=1,
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offset="(2,0,0)",
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to="(dwdeconv6-east)",
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height=H32,
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depth=D2048,
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width=W1,
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caption="deconv4",
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),
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# to_connection("up2", "deconv2"),
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# Output
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to_Conv(
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"out",
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s_filer="{{2048×32}}",
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n_filer=1,
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offset="(2,0,0)",
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to="(outconv-east)",
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height=H32,
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depth=D2048,
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width=W1,
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caption="output",
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),
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# to_connection("deconv2", "out"),
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to_end(),
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]
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def main():
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name = "subter_lenet_arch"
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to_generate(arch, name + ".tex")
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if __name__ == "__main__":
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main()
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223
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_decoder.tex
vendored
Normal file
223
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_decoder.tex
vendored
Normal file
@@ -0,0 +1,223 @@
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\documentclass[border=8pt, multi, tikz]{standalone}
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\usepackage{import}
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\subimport{../layers/}{init}
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\usetikzlibrary{positioning}
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\usetikzlibrary{3d} %for including external image
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\def\ConvColor{rgb:yellow,5;red,2.5;white,5}
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\def\ConvReluColor{rgb:yellow,5;red,5;white,5}
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\def\PoolColor{rgb:red,1;black,0.3}
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\def\UnpoolColor{rgb:blue,2;green,1;black,0.3}
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\def\FcColor{rgb:blue,5;red,2.5;white,5}
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\def\FcReluColor{rgb:blue,5;red,5;white,4}
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\def\SoftmaxColor{rgb:magenta,5;black,7}
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\def\SumColor{rgb:blue,5;green,15}
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\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);}
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\begin{document}
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\begin{tikzpicture}
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\tikzstyle{connection}=[ultra thick,every node/.style={sloped,allow upside down},draw=\edgecolor,opacity=0.7]
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\tikzstyle{copyconnection}=[ultra thick,every node/.style={sloped,allow upside down},draw={rgb:blue,4;red,1;green,1;black,3},opacity=0.7]
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\pic[shift={(2,0,0)}] at (0,0,0)
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{Box={
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name=latent,
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caption=Latent Space,
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xlabel={{, }},
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zlabel=latent dim,
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fill=\ConvColor,
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height=19.200000000000003,
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width=1,
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depth=1
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}
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};
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\pic[shift={(2,0,0)}] at (latent-east)
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{Box={
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name=fc3,
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caption=FC,
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xlabel={{" ","dummy"}},
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zlabel={{8×128×8}},
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fill=\FcColor,
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opacity=0.8,
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height=1,
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width=1,
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depth=24
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}
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};
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\pic[shift={(2,0,0)}] at (fc3-east)
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{Box={
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name=unsqueeze,
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caption=unsqueeze,
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xlabel={{32, }},
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zlabel=,
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fill=\ConvColor,
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height=12,
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width=8,
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depth=6
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}
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};
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\pic[shift={ (2,0,0) }] at (unsqueeze-east)
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{Box={
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name=up1,
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caption=,
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fill=\UnpoolColor,
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opacity=0.5,
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height=18,
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width=8,
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depth=12
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}
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};
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\pic[shift={(0,0,0)}] at (up1-east)
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{Box={
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name=dwdeconv1,
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caption=deconv1,
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xlabel={{1, }},
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zlabel=,
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fill=\ConvColor,
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height=18,
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width=1,
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depth=12
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}
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};
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\pic[shift={(0,0,0)}] at (dwdeconv1-east)
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{Box={
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name=dwdeconv2,
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caption=,
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xlabel={{32, }},
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zlabel={{256×16}},
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fill=\ConvColor,
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height=18,
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width=8,
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depth=12
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}
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};
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\pic[shift={ (2,0,0) }] at (dwdeconv2-east)
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{Box={
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name=up2,
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caption=,
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fill=\UnpoolColor,
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opacity=0.5,
|
||||
height=18,
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width=8,
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depth=36
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}
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};
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\pic[shift={(0,0,0)}] at (up2-east)
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{Box={
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name=dwdeconv3,
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caption=deconv2,
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xlabel={{1, }},
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zlabel=,
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fill=\ConvColor,
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height=18,
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width=1,
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depth=36
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}
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};
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\pic[shift={(0,0,0)}] at (dwdeconv3-east)
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{Box={
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name=dwdeconv4,
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caption=,
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xlabel={{16, }},
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zlabel={{1024×16}},
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fill=\ConvColor,
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height=18,
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width=4,
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depth=36
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}
|
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};
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\pic[shift={ (2,0,0) }] at (dwdeconv4-east)
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{Box={
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name=up3,
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caption=,
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fill=\UnpoolColor,
|
||||
opacity=0.5,
|
||||
height=26,
|
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width=4,
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depth=52
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}
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};
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\pic[shift={(0,0,0)}] at (up3-east)
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{Box={
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name=dwdeconv5,
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caption=deconv3,
|
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xlabel={{1, }},
|
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zlabel=,
|
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fill=\ConvColor,
|
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height=26,
|
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width=1,
|
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depth=52
|
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}
|
||||
};
|
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|
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\pic[shift={(0,0,0)}] at (dwdeconv5-east)
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{Box={
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name=dwdeconv6,
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caption=,
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xlabel={{8, }},
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zlabel={{2048×32}},
|
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fill=\ConvColor,
|
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height=26,
|
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width=2,
|
||||
depth=52
|
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}
|
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};
|
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|
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|
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\pic[shift={(2,0,0)}] at (dwdeconv6-east)
|
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{Box={
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||||
name=outconv,
|
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caption=deconv4,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (outconv-east)
|
||||
{Box={
|
||||
name=out,
|
||||
caption=output,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\end{tikzpicture}
|
||||
\end{document}
|
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|
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159
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_encoder.py
vendored
Normal file
159
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_encoder.py
vendored
Normal file
@@ -0,0 +1,159 @@
|
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# subter_lenet_arch.py
|
||||
# Requires running from inside the PlotNeuralNet repo, like: python3 ../subter_lenet_arch.py
|
||||
import sys, argparse
|
||||
|
||||
sys.path.append("../") # import pycore from repo root
|
||||
|
||||
from pycore.tikzeng import *
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--rep_dim", type=int, default=1024, help="latent size for FC")
|
||||
args = parser.parse_args()
|
||||
REP = int(args.rep_dim)
|
||||
|
||||
# Visual scales so the huge width doesn't dominate the figure
|
||||
H32, H16, H8, H1 = 26, 18, 12, 1
|
||||
D2048, D1024, D512, D256, D128, D1 = 52, 36, 24, 12, 6, 1
|
||||
W1, W4, W8, W16, W32 = 1, 2, 2, 4, 8
|
||||
|
||||
|
||||
arch = [
|
||||
to_head(".."),
|
||||
to_cor(),
|
||||
to_begin(),
|
||||
# --------------------------- ENCODER ---------------------------
|
||||
# Input 1×32×2048 (caption carries H×W; s_filer is numeric)
|
||||
to_Conv(
|
||||
"input",
|
||||
s_filer="{{2048×32}}",
|
||||
n_filer=1,
|
||||
offset="(0,0,0)",
|
||||
to="(0,0,0)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W1,
|
||||
caption="input",
|
||||
),
|
||||
# Conv1 (5x5, same): 1->8, 32×2048
|
||||
to_Conv(
|
||||
"dwconv1",
|
||||
s_filer="",
|
||||
n_filer=1,
|
||||
offset="(2,0,0)",
|
||||
to="(input-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W1,
|
||||
caption="",
|
||||
),
|
||||
to_Conv(
|
||||
"dwconv2",
|
||||
s_filer="",
|
||||
n_filer=16,
|
||||
offset="(0,0,0)",
|
||||
to="(dwconv1-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W16,
|
||||
caption="conv1",
|
||||
),
|
||||
# Pool1 2×2: 32×2048 -> 16×1024
|
||||
# to_connection("input", "conv1"),
|
||||
to_Pool(
|
||||
"pool1",
|
||||
offset="(0,0,0)",
|
||||
to="(dwconv2-east)",
|
||||
height=H32,
|
||||
depth=D512,
|
||||
width=W16,
|
||||
caption="",
|
||||
),
|
||||
# Conv2 (5x5, same): 8->4, stays 16×1024
|
||||
to_Conv(
|
||||
"dwconv3",
|
||||
s_filer="",
|
||||
n_filer=1,
|
||||
offset="(2,0,0)",
|
||||
to="(pool1-east)",
|
||||
height=H32,
|
||||
depth=D512,
|
||||
width=W1,
|
||||
caption="",
|
||||
),
|
||||
to_Conv(
|
||||
"dwconv4",
|
||||
s_filer="",
|
||||
n_filer=32,
|
||||
offset="(0,0,0)",
|
||||
to="(dwconv3-east)",
|
||||
height=H32,
|
||||
depth=D512,
|
||||
width=W32,
|
||||
caption="conv2",
|
||||
),
|
||||
# Pool2 2×2: 16×1024 -> 8×512
|
||||
# to_connection("pool1", "conv2"),
|
||||
to_Pool(
|
||||
"pool2",
|
||||
offset="(0,0,0)",
|
||||
to="(dwconv4-east)",
|
||||
height=H16,
|
||||
depth=D256,
|
||||
width=W32,
|
||||
caption="",
|
||||
),
|
||||
to_Pool(
|
||||
"pool3",
|
||||
offset="(0,0,0)",
|
||||
to="(pool2-east)",
|
||||
height=H8,
|
||||
depth=D128,
|
||||
width=W32,
|
||||
caption="",
|
||||
),
|
||||
to_Conv(
|
||||
"squeeze",
|
||||
s_filer="",
|
||||
n_filer=8,
|
||||
offset="(2,0,0)",
|
||||
to="(pool3-east)",
|
||||
height=H8,
|
||||
depth=D128,
|
||||
width=W8,
|
||||
caption="squeeze",
|
||||
),
|
||||
# FC -> rep_dim (use numeric n_filer)
|
||||
to_fc(
|
||||
"fc1",
|
||||
n_filer="{{8×128×8}}",
|
||||
offset="(2,0,0)",
|
||||
to="(squeeze-east)",
|
||||
height=H1,
|
||||
depth=D512,
|
||||
width=W1,
|
||||
caption=f"FC",
|
||||
),
|
||||
# to_connection("pool2", "fc1"),
|
||||
# --------------------------- LATENT ---------------------------
|
||||
to_Conv(
|
||||
"latent",
|
||||
n_filer="",
|
||||
s_filer="latent dim",
|
||||
offset="(2,0,0)",
|
||||
to="(fc1-east)",
|
||||
height=H8 * 1.6,
|
||||
depth=D1,
|
||||
width=W1,
|
||||
caption=f"Latent Space",
|
||||
),
|
||||
to_end(),
|
||||
]
|
||||
|
||||
|
||||
def main():
|
||||
name = "subter_lenet_arch"
|
||||
to_generate(arch, name + ".tex")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
181
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_encoder.tex
vendored
Normal file
181
thesis/third_party/PlotNeuralNet/deepsad/arch_ef_encoder.tex
vendored
Normal file
@@ -0,0 +1,181 @@
|
||||
|
||||
\documentclass[border=8pt, multi, tikz]{standalone}
|
||||
\usepackage{import}
|
||||
\subimport{../layers/}{init}
|
||||
\usetikzlibrary{positioning}
|
||||
\usetikzlibrary{3d} %for including external image
|
||||
|
||||
|
||||
\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}
|
||||
|
||||
|
||||
\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]
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (0,0,0)
|
||||
{Box={
|
||||
name=input,
|
||||
caption=input,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (input-east)
|
||||
{Box={
|
||||
name=dwconv1,
|
||||
caption=,
|
||||
xlabel={{1, }},
|
||||
zlabel=,
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (dwconv1-east)
|
||||
{Box={
|
||||
name=dwconv2,
|
||||
caption=conv1,
|
||||
xlabel={{16, }},
|
||||
zlabel=,
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=4,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (dwconv2-east)
|
||||
{Box={
|
||||
name=pool1,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=26,
|
||||
width=4,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool1-east)
|
||||
{Box={
|
||||
name=dwconv3,
|
||||
caption=,
|
||||
xlabel={{1, }},
|
||||
zlabel=,
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (dwconv3-east)
|
||||
{Box={
|
||||
name=dwconv4,
|
||||
caption=conv2,
|
||||
xlabel={{32, }},
|
||||
zlabel=,
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=8,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (dwconv4-east)
|
||||
{Box={
|
||||
name=pool2,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=18,
|
||||
width=8,
|
||||
depth=12
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (pool2-east)
|
||||
{Box={
|
||||
name=pool3,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=12,
|
||||
width=8,
|
||||
depth=6
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool3-east)
|
||||
{Box={
|
||||
name=squeeze,
|
||||
caption=squeeze,
|
||||
xlabel={{8, }},
|
||||
zlabel=,
|
||||
fill=\ConvColor,
|
||||
height=12,
|
||||
width=2,
|
||||
depth=6
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (squeeze-east)
|
||||
{Box={
|
||||
name=fc1,
|
||||
caption=FC,
|
||||
xlabel={{" ","dummy"}},
|
||||
zlabel={{8×128×8}},
|
||||
fill=\FcColor,
|
||||
opacity=0.8,
|
||||
height=1,
|
||||
width=1,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (fc1-east)
|
||||
{Box={
|
||||
name=latent,
|
||||
caption=Latent Space,
|
||||
xlabel={{, }},
|
||||
zlabel=latent dim,
|
||||
fill=\ConvColor,
|
||||
height=19.200000000000003,
|
||||
width=1,
|
||||
depth=1
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\end{tikzpicture}
|
||||
\end{document}
|
||||
|
||||
120
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_decoder.py
vendored
Normal file
120
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_decoder.py
vendored
Normal file
@@ -0,0 +1,120 @@
|
||||
# subter_lenet_arch.py
|
||||
# Requires running from inside the PlotNeuralNet repo, like: python3 ../subter_lenet_arch.py
|
||||
import sys, argparse
|
||||
|
||||
sys.path.append("../") # import pycore from repo root
|
||||
|
||||
from pycore.tikzeng import *
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--rep_dim", type=int, default=1024, help="latent size for FC")
|
||||
args = parser.parse_args()
|
||||
REP = int(args.rep_dim)
|
||||
|
||||
# Visual scales so the huge width doesn't dominate the figure
|
||||
H32, H16, H8 = 26, 18, 12
|
||||
D2048, D1024, D512 = 52, 36, 24
|
||||
W1, W4, W8 = 1, 2, 4
|
||||
|
||||
|
||||
arch = [
|
||||
to_head(".."),
|
||||
to_cor(),
|
||||
to_begin(),
|
||||
to_Conv(
|
||||
"latent",
|
||||
n_filer="",
|
||||
s_filer="latent dim",
|
||||
offset="(2,0,0)",
|
||||
to="(0,0,0)",
|
||||
height=H8 * 1.6,
|
||||
depth=1.3,
|
||||
width=W1,
|
||||
caption=f"Latent Space",
|
||||
),
|
||||
# to_connection("fc1", "latent"),
|
||||
# --------------------------- DECODER ---------------------------
|
||||
# FC back to 16384
|
||||
to_fc(
|
||||
"fc3",
|
||||
n_filer="{{4×512×8}}",
|
||||
offset="(2,0,0)",
|
||||
to="(latent-east)",
|
||||
height=1.3,
|
||||
depth=D512,
|
||||
width=W1,
|
||||
caption=f"FC",
|
||||
),
|
||||
# to_connection("latent", "fc3"),
|
||||
# Reshape to 4×8×512
|
||||
to_UnPool(
|
||||
"up1",
|
||||
offset="(2,0,0)",
|
||||
to="(fc3-east)",
|
||||
height=H16,
|
||||
depth=D1024,
|
||||
width=W4,
|
||||
caption="",
|
||||
),
|
||||
# Up ×2: 8×512 -> 16×1024 (we just draw a labeled box)
|
||||
# DeConv1 (5×5, same): 4->8, 16×1024
|
||||
to_Conv(
|
||||
"deconv1",
|
||||
s_filer="{{1024×16}}",
|
||||
n_filer=8,
|
||||
offset="(0,0,0)",
|
||||
to="(up1-east)",
|
||||
height=H16,
|
||||
depth=D1024,
|
||||
width=W8,
|
||||
caption="deconv1",
|
||||
),
|
||||
# to_connection("fc3", "up1"),
|
||||
# Up ×2: 16×1024 -> 32×2048
|
||||
to_UnPool(
|
||||
"up2",
|
||||
offset="(2,0,0)",
|
||||
to="(deconv1-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W8,
|
||||
caption="",
|
||||
),
|
||||
# to_connection("deconv1", "up2"),
|
||||
# DeConv2 (5×5, same): 8->1, 32×2048
|
||||
to_Conv(
|
||||
"deconv2",
|
||||
s_filer="{{2048×32}}",
|
||||
n_filer=1,
|
||||
offset="(0,0,0)",
|
||||
to="(up2-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W1,
|
||||
caption="deconv2",
|
||||
),
|
||||
# to_connection("up2", "deconv2"),
|
||||
# Output
|
||||
to_Conv(
|
||||
"out",
|
||||
s_filer="{{2048×32}}",
|
||||
n_filer=1,
|
||||
offset="(2,0,0)",
|
||||
to="(deconv2-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=1.0,
|
||||
caption="output",
|
||||
),
|
||||
# to_connection("deconv2", "out"),
|
||||
to_end(),
|
||||
]
|
||||
|
||||
|
||||
def main():
|
||||
name = "subter_lenet_arch"
|
||||
to_generate(arch, name + ".tex")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
126
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_decoder.tex
vendored
Normal file
126
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_decoder.tex
vendored
Normal file
@@ -0,0 +1,126 @@
|
||||
|
||||
\documentclass[border=8pt, multi, tikz]{standalone}
|
||||
\usepackage{import}
|
||||
\subimport{../layers/}{init}
|
||||
\usetikzlibrary{positioning}
|
||||
\usetikzlibrary{3d} %for including external image
|
||||
|
||||
|
||||
\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}
|
||||
|
||||
|
||||
\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]
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (0,0,0)
|
||||
{Box={
|
||||
name=latent,
|
||||
caption=Latent Space,
|
||||
xlabel={{, }},
|
||||
zlabel=latent dim,
|
||||
fill=\ConvColor,
|
||||
height=19.200000000000003,
|
||||
width=1,
|
||||
depth=1.3
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (latent-east)
|
||||
{Box={
|
||||
name=fc3,
|
||||
caption=FC,
|
||||
xlabel={{" ","dummy"}},
|
||||
zlabel={{4×512×8}},
|
||||
fill=\FcColor,
|
||||
opacity=0.8,
|
||||
height=1.3,
|
||||
width=1,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (2,0,0) }] at (fc3-east)
|
||||
{Box={
|
||||
name=up1,
|
||||
caption=,
|
||||
fill=\UnpoolColor,
|
||||
opacity=0.5,
|
||||
height=18,
|
||||
width=2,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (up1-east)
|
||||
{Box={
|
||||
name=deconv1,
|
||||
caption=deconv1,
|
||||
xlabel={{8, }},
|
||||
zlabel={{1024×16}},
|
||||
fill=\ConvColor,
|
||||
height=18,
|
||||
width=4,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (2,0,0) }] at (deconv1-east)
|
||||
{Box={
|
||||
name=up2,
|
||||
caption=,
|
||||
fill=\UnpoolColor,
|
||||
opacity=0.5,
|
||||
height=26,
|
||||
width=4,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (up2-east)
|
||||
{Box={
|
||||
name=deconv2,
|
||||
caption=deconv2,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (deconv2-east)
|
||||
{Box={
|
||||
name=out,
|
||||
caption=output,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1.0,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\end{tikzpicture}
|
||||
\end{document}
|
||||
|
||||
117
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.py
vendored
Normal file
117
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.py
vendored
Normal file
@@ -0,0 +1,117 @@
|
||||
# subter_lenet_arch.py
|
||||
# Requires running from inside the PlotNeuralNet repo, like: python3 ../subter_lenet_arch.py
|
||||
import sys, argparse
|
||||
|
||||
sys.path.append("../") # import pycore from repo root
|
||||
|
||||
from pycore.tikzeng import *
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--rep_dim", type=int, default=1024, help="latent size for FC")
|
||||
args = parser.parse_args()
|
||||
REP = int(args.rep_dim)
|
||||
|
||||
# Visual scales so the huge width doesn't dominate the figure
|
||||
H32, H16, H8 = 26, 18, 12
|
||||
D2048, D1024, D512 = 52, 36, 24
|
||||
W1, W4, W8 = 1, 2, 4
|
||||
|
||||
|
||||
arch = [
|
||||
to_head(".."),
|
||||
to_cor(),
|
||||
to_begin(),
|
||||
# --------------------------- ENCODER ---------------------------
|
||||
# Input 1×32×2048 (caption carries H×W; s_filer is numeric)
|
||||
to_Conv(
|
||||
"input",
|
||||
s_filer="{{2048×32}}",
|
||||
n_filer=1,
|
||||
offset="(0,0,0)",
|
||||
to="(0,0,0)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W1,
|
||||
caption="input",
|
||||
),
|
||||
# Conv1 (5x5, same): 1->8, 32×2048
|
||||
to_Conv(
|
||||
"conv1",
|
||||
s_filer="{{1024×16}}",
|
||||
n_filer=8,
|
||||
offset="(2,0,0)",
|
||||
to="(input-east)",
|
||||
height=H32,
|
||||
depth=D2048,
|
||||
width=W8,
|
||||
caption="conv1",
|
||||
),
|
||||
# Pool1 2×2: 32×2048 -> 16×1024
|
||||
# to_connection("input", "conv1"),
|
||||
to_Pool(
|
||||
"pool1",
|
||||
offset="(0,0,0)",
|
||||
to="(conv1-east)",
|
||||
height=H16,
|
||||
depth=D1024,
|
||||
width=W8,
|
||||
caption="",
|
||||
),
|
||||
# Conv2 (5x5, same): 8->4, stays 16×1024
|
||||
to_Conv(
|
||||
"conv2",
|
||||
s_filer="{{512×8}}",
|
||||
n_filer=4,
|
||||
offset="(2,0,0)",
|
||||
to="(pool1-east)",
|
||||
height=H16,
|
||||
depth=D1024,
|
||||
width=W4,
|
||||
caption="conv2",
|
||||
),
|
||||
# Pool2 2×2: 16×1024 -> 8×512
|
||||
# to_connection("pool1", "conv2"),
|
||||
to_Pool(
|
||||
"pool2",
|
||||
offset="(0,0,0)",
|
||||
to="(conv2-east)",
|
||||
height=H8,
|
||||
depth=D512,
|
||||
width=W4,
|
||||
caption="",
|
||||
),
|
||||
# FC -> rep_dim (use numeric n_filer)
|
||||
to_fc(
|
||||
"fc1",
|
||||
n_filer="{{4×512×8}}",
|
||||
offset="(2,0,0)",
|
||||
to="(pool2-east)",
|
||||
height=1.3,
|
||||
depth=D512,
|
||||
width=W1,
|
||||
caption=f"FC",
|
||||
),
|
||||
# to_connection("pool2", "fc1"),
|
||||
# --------------------------- LATENT ---------------------------
|
||||
to_Conv(
|
||||
"latent",
|
||||
n_filer="",
|
||||
s_filer="latent dim",
|
||||
offset="(2,0,0)",
|
||||
to="(fc1-east)",
|
||||
height=H8 * 1.6,
|
||||
depth=1.3,
|
||||
width=W1,
|
||||
caption=f"Latent Space",
|
||||
),
|
||||
to_end(),
|
||||
]
|
||||
|
||||
|
||||
def main():
|
||||
name = "subter_lenet_arch"
|
||||
to_generate(arch, name + ".tex")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
126
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.tex
vendored
Normal file
126
thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.tex
vendored
Normal file
@@ -0,0 +1,126 @@
|
||||
|
||||
\documentclass[border=8pt, multi, tikz]{standalone}
|
||||
\usepackage{import}
|
||||
\subimport{../layers/}{init}
|
||||
\usetikzlibrary{positioning}
|
||||
\usetikzlibrary{3d} %for including external image
|
||||
|
||||
|
||||
\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}
|
||||
|
||||
|
||||
\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]
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (0,0,0)
|
||||
{Box={
|
||||
name=input,
|
||||
caption=input,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (input-east)
|
||||
{Box={
|
||||
name=conv1,
|
||||
caption=conv1,
|
||||
xlabel={{8, }},
|
||||
zlabel={{1024×16}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=4,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (conv1-east)
|
||||
{Box={
|
||||
name=pool1,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=18,
|
||||
width=4,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool1-east)
|
||||
{Box={
|
||||
name=conv2,
|
||||
caption=conv2,
|
||||
xlabel={{4, }},
|
||||
zlabel={{512×8}},
|
||||
fill=\ConvColor,
|
||||
height=18,
|
||||
width=2,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (conv2-east)
|
||||
{Box={
|
||||
name=pool2,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=12,
|
||||
width=2,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool2-east)
|
||||
{Box={
|
||||
name=fc1,
|
||||
caption=FC,
|
||||
xlabel={{" ","dummy"}},
|
||||
zlabel={{4×512×8}},
|
||||
fill=\FcColor,
|
||||
opacity=0.8,
|
||||
height=1.3,
|
||||
width=1,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (fc1-east)
|
||||
{Box={
|
||||
name=latent,
|
||||
caption=Latent Space,
|
||||
xlabel={{, }},
|
||||
zlabel=latent dim,
|
||||
fill=\ConvColor,
|
||||
height=19.200000000000003,
|
||||
width=1,
|
||||
depth=1.3
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\end{tikzpicture}
|
||||
\end{document}
|
||||
|
||||
@@ -5,7 +5,6 @@
|
||||
\usetikzlibrary{positioning}
|
||||
\usetikzlibrary{3d} %for including external image
|
||||
|
||||
|
||||
\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}
|
||||
@@ -15,7 +14,6 @@
|
||||
\def\SoftmaxColor{rgb:magenta,5;black,7}
|
||||
\def\SumColor{rgb:blue,5;green,15}
|
||||
|
||||
|
||||
\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}
|
||||
@@ -23,91 +21,7 @@
|
||||
\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]
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (0,0,0)
|
||||
{Box={
|
||||
name=input,
|
||||
caption=input,
|
||||
xlabel={{1, }},
|
||||
zlabel={{2048×32}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=1,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (input-east)
|
||||
{Box={
|
||||
name=conv1,
|
||||
caption=conv1,
|
||||
xlabel={{8, }},
|
||||
zlabel={{1024×16}},
|
||||
fill=\ConvColor,
|
||||
height=26,
|
||||
width=4,
|
||||
depth=52
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (conv1-east)
|
||||
{Box={
|
||||
name=pool1,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=18,
|
||||
width=4,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool1-east)
|
||||
{Box={
|
||||
name=conv2,
|
||||
caption=conv2,
|
||||
xlabel={{4, }},
|
||||
zlabel={{512×8}},
|
||||
fill=\ConvColor,
|
||||
height=18,
|
||||
width=2,
|
||||
depth=36
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (0,0,0) }] at (conv2-east)
|
||||
{Box={
|
||||
name=pool2,
|
||||
caption=,
|
||||
fill=\PoolColor,
|
||||
opacity=0.5,
|
||||
height=12,
|
||||
width=2,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (pool2-east)
|
||||
{Box={
|
||||
name=fc1,
|
||||
caption=FC,
|
||||
xlabel={{" ","dummy"}},
|
||||
zlabel={{4×512×8}},
|
||||
fill=\FcColor,
|
||||
opacity=0.8,
|
||||
height=1.3,
|
||||
width=1,
|
||||
depth=24
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (fc1-east)
|
||||
\pic[shift={(2,0,0)}] at (0,0,0)
|
||||
{Box={
|
||||
name=latent,
|
||||
caption=Latent Space,
|
||||
@@ -120,7 +34,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (latent-east)
|
||||
{Box={
|
||||
name=fc3,
|
||||
@@ -135,7 +48,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (2,0,0) }] at (fc3-east)
|
||||
{Box={
|
||||
name=up1,
|
||||
@@ -148,7 +60,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (up1-east)
|
||||
{Box={
|
||||
name=deconv1,
|
||||
@@ -162,7 +73,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={ (2,0,0) }] at (deconv1-east)
|
||||
{Box={
|
||||
name=up2,
|
||||
@@ -175,7 +85,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(0,0,0)}] at (up2-east)
|
||||
{Box={
|
||||
name=deconv2,
|
||||
@@ -189,7 +98,6 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\pic[shift={(2,0,0)}] at (deconv2-east)
|
||||
{Box={
|
||||
name=out,
|
||||
@@ -203,7 +111,5 @@
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
\end{tikzpicture}
|
||||
\end{document}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user