/// }
/// ```
///
-/// The -affine-vectorize pass with the following arguments:
+/// The -affine-super-vectorize pass with the following arguments:
/// ```
-/// -affine-vectorize="virtual-vector-size=256 test-fastest-varying=0"
+/// -affine-super-vectorize="virtual-vector-size=256 test-fastest-varying=0"
/// ```
///
/// produces this standard innermost-loop vectorized code:
/// }
/// ```
///
-/// The -affine-vectorize pass with the following arguments:
+/// The -affine-super-vectorize pass with the following arguments:
/// ```
-/// -affine-vectorize="virtual-vector-size=32,256 test-fastest-varying=1,0"
+/// -affine-super-vectorize="virtual-vector-size=32,256 \
+/// test-fastest-varying=1,0"
/// ```
///
/// produces this more interesting mixed outer-innermost-loop vectorized code:
/// }
/// ```
///
-/// The -affine-vectorize pass with the following arguments:
+/// The -affine-super-vectorize pass with the following arguments:
/// ```
-/// -affine-vectorize="virtual-vector-size=128 test-fastest-varying=0 \
-/// vectorize-reductions=true"
+/// -affine-super-vectorize="virtual-vector-size=128 test-fastest-varying=0 \
+/// vectorize-reductions=true"
/// ```
/// produces the following output:
/// ```mlir