reworked network arch diagrams

thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.tex

@@ -29,6 +29,7 @@
         name=input,
         caption=Input,
         xlabel={{1, }},
+        zlabeloffset=0.15,
         zlabel={{2048×32}},
         fill=\ConvColor,
         height=26,
@@ -43,7 +44,8 @@
         name=conv1,
         caption=Conv1,
         xlabel={{8, }},
-        zlabel={{1024×16}},
+        zlabeloffset=0.15,
+        zlabel={{2048×32}},
         fill=\ConvColor,
         height=26,
         width=4,
@@ -55,6 +57,9 @@
 \pic[shift={ (0,0,0) }] at (conv1-east) 
     {Box={
         name=pool1,
+        xlabel={{, }},
+        zlabeloffset=0.3,
+        zlabel={{1024×16}},
         caption=,
         fill=\PoolColor,
         opacity=0.5,
@@ -70,7 +75,8 @@
         name=conv2,
         caption=Conv2,
         xlabel={{4, }},
-        zlabel={{512×8}},
+        zlabeloffset=0.4,
+        zlabel={{1024×16\hspace{2.5em}512×8}},
         fill=\ConvColor,
         height=18,
         width=2,
@@ -82,6 +88,9 @@
 \pic[shift={ (0,0,0) }] at (conv2-east) 
     {Box={
         name=pool2,
+        xlabel={{, }},
+        zlabeloffset=0.3,
+        zlabel={{}},
         caption=,
         fill=\PoolColor,
         opacity=0.5,
@@ -97,6 +106,7 @@
         name=fc1,
         caption=FC,
         xlabel={{" ","dummy"}},
+        zlabeloffset=0.5,
         zlabel={{4×512×8}},
         fill=\FcColor,
         opacity=0.8,
@@ -112,6 +122,7 @@
         name=latent,
         caption=Latent Space,
         xlabel={{, }},
+        zlabeloffset=0.3,
         zlabel=latent dim,
         fill=\ConvColor,
         height=19.200000000000003,