reworked network arch diagrams

thesis/third_party/PlotNeuralNet/deepsad/arch_lenet_encoder.py

@@ -26,6 +26,7 @@ arch = [
     to_Conv(
         "input",
         s_filer="{{2048×32}}",
+        zlabeloffset=0.15,
         n_filer=1,
         offset="(0,0,0)",
         to="(0,0,0)",
@@ -37,7 +38,8 @@ arch = [
     # Conv1 (5x5, same): 1->8, 32×2048
     to_Conv(
         "conv1",
-        s_filer="{{1024×16}}",
+        s_filer="{{2048×32}}",
+        zlabeloffset=0.15,
         n_filer=8,
         offset="(2,0,0)",
         to="(input-east)",
@@ -51,6 +53,8 @@ arch = [
     to_Pool(
         "pool1",
         offset="(0,0,0)",
+        s_filer="{{1024×16}}",
+        zlabeloffset=0.3,
         to="(conv1-east)",
         height=H16,
         depth=D1024,
@@ -60,7 +64,8 @@ arch = [
     # Conv2 (5x5, same): 8->4, stays 16×1024
     to_Conv(
         "conv2",
-        s_filer="{{512×8}}",
+        s_filer="{{1024×16\hspace{2.5em}512×8}}",
+        zlabeloffset=0.4,
         n_filer=4,
         offset="(2,0,0)",
         to="(pool1-east)",
@@ -73,7 +78,9 @@ arch = [
     # to_connection("pool1", "conv2"),
     to_Pool(
         "pool2",
+        s_filer="{{}}",
         offset="(0,0,0)",
+        zlabeloffset=0.3,
         to="(conv2-east)",
         height=H8,
         depth=D512,
@@ -85,6 +92,7 @@ arch = [
         "fc1",
         n_filer="{{4×512×8}}",
         offset="(2,0,0)",
+        zlabeloffset=0.5,
         to="(pool2-east)",
         height=1.3,
         depth=D512,