[Enhancement] Align dynamic shared memory allocations in phase.py (#644)

- Added a comment to clarify the alignment of dynamic shared memory allocations in the `OptimizeForTarget` function.
- Refactored the handling of shared memory allocation merging and synchronization to streamline the process, ensuring consistent behavior regardless of the aggressive merge flag.
- Improved code clarity by removing redundant conditional checks related to synchronization and memory allocation.

tilelang/engine/phase.py

@@ -80,6 +80,7 @@ def LowerAndLegalize(mod: IRModule, target: Target) -> IRModule:
     mod = tilelang.transform.LegalizeVectorizedLoop()(mod)
     # Add safety checks for memory accesses
     mod = tilelang.transform.LegalizeSafeMemoryAccess()(mod)
+    # Align dynamic shared memory allocations
     # Simplify again to clean up any duplicated conditions
     # that may have been introduced by safety checks
     # use an enhanced pass to simplify the dynamic symbolics
@@ -167,19 +168,12 @@ def OptimizeForTarget(mod: IRModule, target: Target) -> IRModule:
     # Hopper Swizzling requires dynamic shared memory address to be aligned to 1024 bytes
     # For other devices, we align to 16 bytes
     smem_align_bytes = 1024 if have_tma(target) else 16
-    if enable_aggressive_merge:
     # Workaround, wait for a element wise synchronization pass
     mod = tilelang.transform.MergeSharedMemoryAllocations(
         enable_aggressive_merge=enable_aggressive_merge, align_bytes=smem_align_bytes)(
             mod)
     mod = tilelang.transform.ThreadSync("shared")(mod)
     mod = tilelang.transform.ThreadSync("shared.dyn")(mod)
-    else:
-        mod = tilelang.transform.ThreadSync("shared")(mod)
-        mod = tilelang.transform.ThreadSync("shared.dyn")(mod)
-        mod = tilelang.transform.MergeSharedMemoryAllocations(
-            enable_aggressive_merge=enable_aggressive_merge, align_bytes=smem_align_bytes)(
-                mod)
 
     # Inject PTX async copy must behind the thread sync pass
     # as ptx async copy won't be recognized as a valid buffer load