add self-attention.typ converted from self-attention.tex for visualiz…

…ing self-attention mechanism in neural networks

assets/self-attention/self-attention.typ

@@ -0,0 +1,105 @@
+#import "@preview/cetz:0.3.1": canvas, draw
+#import draw: line, content, circle, rect, bezier
+
+#set page(width: auto, height: auto, margin: 3pt)
+
+#canvas({
+  // Define spacing constants
+  let node-spacing = 2
+  let layer-spacing = 2
+  let vertical-spacing = 1.3
+
+  // Input nodes
+  let y1 = 6
+  let y_dots_1 = y1 - vertical-spacing
+  let yj = y_dots_1 - vertical-spacing
+  let y_dots_2 = yj - vertical-spacing
+  let yn = y_dots_2 - vertical-spacing
+  let arrow_style = (end: "stealth", fill: black, scale: 0.7)
+
+  // First column (input vectors)
+  content((0, y1), $arrow(e)_1$, name: "arrow1", padding: 2pt)
+  content((0, y_dots_1), $dots$)
+  content((0, yj), $arrow(e)_j$, name: "arrowj", padding: 2pt)
+  content((0, y_dots_2), $dots$)
+  content((0, yn), $arrow(e)_n$, name: "arrown", padding: 2pt)
+
+  // Second column (attention nodes)
+  let x2 = layer-spacing
+  content((x2, y1), $a_phi$, frame: "rect", padding: (3pt, 4pt), name: "attn1")
+  content((x2, yj), $a_phi$, frame: "rect", padding: (3pt, 4pt), name: "attnj")
+  content((x2, yn), $a_phi$, frame: "rect", padding: (3pt, 4pt), name: "attnn")
+
+  // Third column (alpha values)
+  let x3 = x2 + layer-spacing
+  content((x3, y1), text(fill: rgb(0, 0, 0, 20%))[$alpha_(1j)$], name: "alpha1j", padding: 3pt)
+  content((x3, yj), $alpha_(j j)$, name: "alphajj", padding: 3pt)
+  content((x3, yn), text(fill: rgb(0, 0, 0, 60%))[$alpha_(n j)$], name: "alphanj", padding: 3pt)
+
+  // Fourth column (multiplication nodes)
+  let x4 = x3 + layer-spacing
+  content((x4, y1), name: "times1", $times$, frame: "circle", padding: 3pt, stroke: .7pt)
+  content((x4, yj), name: "timesj", $times$, frame: "circle", padding: 3pt, stroke: .7pt)
+  content((x4, yn), name: "timesn", $times$, frame: "circle", padding: 3pt, stroke: .7pt)
+
+  // Fifth column (sum node)
+  let x5 = x4 + layer-spacing
+  content((x5, yj), $Sigma$, frame: "rect", padding: 4pt, name: "sum")
+
+  // Output node
+  let x6 = x5 + 1
+  content((x6, yj), $arrow(e)'_j$, name: "output", padding: 2pt)
+
+  // Draw connections
+  line("arrow1.east", "attn1.west", mark: arrow_style)
+  line("arrowj.east", "attnj.west", mark: arrow_style)
+  line("arrown.east", "attnn.west", mark: arrow_style)
+  line("arrowj.east", "attn1.west", mark: arrow_style)
+  line("arrowj.east", "attnn.west", mark: arrow_style)
+
+  line("attn1.east", "alpha1j.west", mark: arrow_style)
+  line("attnj.east", "alphajj.west", mark: arrow_style)
+  line("attnn.east", "alphanj.west", mark: arrow_style)
+
+  line("alpha1j.east", "times1.west", mark: arrow_style)
+  line("alphajj.east", "timesj.west", mark: arrow_style)
+  line("alphanj.east", "timesn.west", mark: arrow_style)
+
+  line("times1.east", "sum.north-west", mark: arrow_style)
+  line("timesj.east", "sum.west", mark: arrow_style)
+  line("timesn.east", "sum.south-west", mark: arrow_style)
+
+  line("sum.east", "output.west", mark: arrow_style)
+
+  // Draw f_psi connections with labels
+  for (idx, (start, end)) in (
+    ("arrow1.east", "times1.south-west"),
+    ("arrowj.east", "timesj.south-west"),
+    ("arrown.east", "timesn.south-west"),
+  ).enumerate(start: 1) {
+    bezier(
+      start,
+      end,
+      (
+        (v1, v2) => {
+          let (x1, y1, ..) = v1
+          let (x2, y2, ..) = v2
+          return ((x1 + x2) / 2, (y1 + y2) / 2 - 2)
+        },
+        start,
+        end,
+      ),
+      mark: arrow_style,
+      stroke: 1pt,
+      name: "fpsi" + str(idx),
+    )
+    content(
+      "fpsi" + str(idx) + ".50%",
+      text(fill: rgb(0, 0, 0, 60%))[$f_psi$],
+      frame: "rect",
+      padding: (3pt, 4pt),
+      name: "fpsi",
+      fill: white,
+    )
+  }
+})