diff --git a/3rdparty/tvm b/3rdparty/tvm
index 8d73b0b34..b63fba41c 160000
--- a/3rdparty/tvm
+++ b/3rdparty/tvm
@@ -1 +1 @@
-Subproject commit 8d73b0b3475d0046b01ae0d03f38ae59f53b7e69
+Subproject commit b63fba41c22d6a1edb0ef4832be272fac68c8968
diff --git a/testing/python/tilelang/test_tilelang_dyanmic_symbolic.py b/testing/python/tilelang/test_tilelang_dyanmic_symbolic.py
index d0587ebef..0dfe07633 100644
--- a/testing/python/tilelang/test_tilelang_dyanmic_symbolic.py
+++ b/testing/python/tilelang/test_tilelang_dyanmic_symbolic.py
@@ -372,13 +372,18 @@ def assert_tl_matmul_block_all_dynamic_correctness(
     )
     mod, params = TL.lower(program)
 
-    A = torch.rand(M, K, device="cuda", dtype=getattr(torch, in_dtype))
-    B = torch.rand(N, K, device="cuda", dtype=getattr(torch, in_dtype))
+    if trans_A:
+        A = torch.rand(K, M, device="cuda", dtype=getattr(torch, in_dtype))
+    else:
+        A = torch.rand(M, K, device="cuda", dtype=getattr(torch, in_dtype))
+    if trans_B:
+        B = torch.rand(N, K, device="cuda", dtype=getattr(torch, in_dtype))
+    else:
+        B = torch.rand(K, N, device="cuda", dtype=getattr(torch, in_dtype))
     C = torch.zeros(M, N, device="cuda", dtype=getattr(torch, out_dtype))
 
     mod = TL.Profiler(mod, params, [], TL.TensorSupplyType.Integer)
     mod(A, B, C)
-    print(mod.mod.imported_modules[0].get_source())
 
     def ref_program(A, B):
         import torch
@@ -419,6 +424,8 @@ def test_assert_tl_matmul_block_all_dynamic():
                                                    "float16", 64, 64, 32)
     assert_tl_matmul_block_all_dynamic_correctness(36, 128, 128, False, False, "float16", "float16",
                                                    "float16", 64, 64, 32)
+    assert_tl_matmul_block_all_dynamic_correctness(36, 115, 103, False, False, "float16", "float16",
+                                                   "float16", 64, 64, 32)
 
 
 if __name__ == "__main__":