diff --git a/tests/unit/test_fmha_v3_stage_c_full.py b/tests/unit/test_fmha_v3_stage_c_full.py
index 1c5b1fc5..13e8798a 100644
--- a/tests/unit/test_fmha_v3_stage_c_full.py
+++ b/tests/unit/test_fmha_v3_stage_c_full.py
@@ -302,18 +302,19 @@ class FmhaV3StageC:
                 cute.arch.fence_view_async_tmem_store()
 
                 # O rescale: if kt > 0, rescale O in TMEM by exp2((old_max - new_max) * scale_log2)
-                if kt > 0:
-                    corr_scale = cute.math.exp2(old_row_max - row_max_safe, fastmath=True)
-                    o_col_tiles = self.pv_mma_tiler[1] // corr_tile_size
-                    for i in range(o_col_tiles):
-                        tTMEM_LOAD_O_i = cute.make_tensor(tTMEM_LOAD_OtO.iterator + i * corr_tile_size, tTMEM_LOAD_OtO.layout)
-                        tTMEM_STORE_O_i = cute.make_tensor(tTMEM_STORE_OtO.iterator + i * corr_tile_size, tTMEM_STORE_OtO.layout)
-                        tTMrO = cute.make_rmem_tensor(tTMEM_LOAD_OcO.shape, self.acc_dtype)
-                        cute.copy(tiled_tmem_load_o, tTMEM_LOAD_O_i, tTMrO)
-                        for k in cutlass.range(cute.size(tTMrO), vectorize=True):
-                            tTMrO[k] = tTMrO[k] * corr_scale
-                        cute.copy(tiled_tmem_store_o, tTMrO, tTMEM_STORE_O_i)
-                    cute.arch.fence_view_async_tmem_store()
+                # TEMPORARILY DISABLED FOR DEBUGGING
+                # if kt > 0:
+                #     corr_scale = cute.math.exp2(old_row_max - row_max_safe, fastmath=True)
+                #     o_col_tiles = self.pv_mma_tiler[1] // corr_tile_size
+                #     for i in range(o_col_tiles):
+                #         tTMEM_LOAD_O_i = cute.make_tensor(tTMEM_LOAD_OtO.iterator + i * corr_tile_size, tTMEM_LOAD_OtO.layout)
+                #         tTMEM_STORE_O_i = cute.make_tensor(tTMEM_STORE_OtO.iterator + i * corr_tile_size, tTMEM_STORE_OtO.layout)
+                #         tTMrO = cute.make_rmem_tensor(tTMEM_LOAD_OcO.shape, self.acc_dtype)
+                #         cute.copy(tiled_tmem_load_o, tTMEM_LOAD_O_i, tTMrO)
+                #         for k in cutlass.range(cute.size(tTMrO), vectorize=True):
+                #             tTMrO[k] = tTMrO[k] * corr_scale
+                #         cute.copy(tiled_tmem_store_o, tTMrO, tTMEM_STORE_O_i)
+                #     cute.arch.fence_view_async_tmem_store()
 
                 si_handle.release()
                 softmax_done_bar.arrive()