Initial project scaffold

tasks/02_row_softmax/triton_skeleton.py

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+"""Workbook-local Triton notes for row softmax."""
+
+
+def notes() -> str:
+    return """
+TODO(student):
+1. Decide what one program instance owns: a whole row or a row tile.
+2. Load a row with masking.
+3. Compute row_max = max(x).
+4. Compute exp(x - row_max), then the row sum.
+5. Normalize and store.
+
+Reflection:
+- Why does numerical stability matter here more than in vector add?
+- Where does extra memory traffic appear in a naive multi-kernel approach?
+"""
+
+
+if __name__ == "__main__":
+    print(notes())