Fix: drop the stale N_UNROLL value from the unroll orchestration headers

examples/a2a3/tensormap_and_ringbuffer/paged_attention_unroll_manual_scope/README.md

@@ -34,8 +34,7 @@ Softmax becomes a two-pass over a wider buffer, which is why that kernel is
 rewritten rather than adjusted.
 
 `N_UNROLL` is a `#define` at the top of the orchestration source, currently
-**64**. (The file's header comment still says `N_UNROLL=8`; the `#define` is
-what takes effect.)
+**64**.
 
 Dependencies are declared explicitly inside
 `PTO2_SCOPE(PTO2ScopeMode::MANUAL)`, using the primitive

examples/a2a3/tensormap_and_ringbuffer/paged_attention_unroll_manual_scope/kernels/orchestration/paged_attention_orch.cpp

@@ -9,7 +9,7 @@
  * -----------------------------------------------------------------------------------------------------------
  */
 /**
- * Paged Attention Orchestration Function V2 - N_UNROLL=8, 4 Tasks Per Group
+ * Paged Attention Orchestration Function V2 - 4 Tasks Per Group
  *
  * Batches up to N_UNROLL blocks per group. Each group submits exactly 4 tasks:
  *   1. QK matmul:  qi @ K^T for n_blocks → sij_buf (q_tile, n_blocks * block_size)

examples/a5/tensormap_and_ringbuffer/paged_attention_unroll_manual_scope/kernels/orchestration/paged_attention_orch.cpp

@@ -9,7 +9,7 @@
  * -----------------------------------------------------------------------------------------------------------
  */
 /**
- * Paged Attention Orchestration Function V2 - N_UNROLL=8, 4 Tasks Per Group
+ * Paged Attention Orchestration Function V2 - 4 Tasks Per Group
  *
  * Batches up to N_UNROLL blocks per group. Each group submits exactly 4 tasks:
  *   1. QK matmul:  qi @ K^T for n_blocks -> sij_buf (q_tile, n_blocks * block_size)

tests/st/a2a3/tensormap_and_ringbuffer/paged_attention_unroll/kernels/orchestration/paged_attention_orch.cpp

@@ -9,7 +9,7 @@
  * -----------------------------------------------------------------------------------------------------------
  */
 /**
- * Paged Attention Orchestration Function V2 - N_UNROLL=8, 4 Tasks Per Group
+ * Paged Attention Orchestration Function V2 - 4 Tasks Per Group
  *
  * Batches up to N_UNROLL blocks per group. Each group submits exactly 4 tasks:
  *   1. QK matmul:  qi @ K^T for n_blocks → sij_buf (q_tile, n_blocks * block_size)

tests/st/a5/tensormap_and_ringbuffer/paged_attention_unroll/kernels/orchestration/paged_attention_orch.cpp

@@ -9,7 +9,7 @@
  * -----------------------------------------------------------------------------------------------------------
  */
 /**
- * Paged Attention Orchestration Function V2 - N_UNROLL=8, 4 Tasks Per Group
+ * Paged Attention Orchestration Function V2 - 4 Tasks Per Group
  *
  * Batches up to N_UNROLL blocks per group. Each group submits exactly 4 tasks:
  *   1. QK matmul:  qi @ K^T for n_blocks → sij_buf (q_tile, n_blocks * block_size)