diff --git a/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst b/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
index 2b8a8bc5..d7833e59 100644
--- a/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
+++ b/media/docs/pythonDSL/cute_dsl_general/compile_with_tvm_ffi.rst
@@ -296,7 +296,9 @@ composed of the types that are supported by TVM FFI. The example below shows how
 Limitations
 -----------
 
-The Fake Tensor flow is ONLY compatible with TVM FFI because TVM FFI support more flexible constraints on Tensor arguments.
+The Fake Tensor flow supports more flexible constraints on Tensor arguments than the `from_dlpack` flow.
+TVM FFI backend is recommended when fake tensor is used as TVM FFI support flexible constraints on Tensor arguments.
+
 For instance, fake tensor can specify per-mode static shape or constraints on shape and strides which is not supported by 
 existing `from_dlpack` flow. It's expected that JIT function compiled with fake tensor may have different ABI with
 tensor converted by `from_dlpack`.
diff --git a/python/CuTeDSL/cutlass/cute/runtime.py b/python/CuTeDSL/cutlass/cute/runtime.py
index 19815b5c..07fe03d0 100644
--- a/python/CuTeDSL/cutlass/cute/runtime.py
+++ b/python/CuTeDSL/cutlass/cute/runtime.py
@@ -617,7 +617,8 @@ def make_fake_compact_tensor(
     :param shape: Shape of the tensor.
     :type shape: tuple[int, ...]
     :param stride_order: Order in which strides (memory layout) are assigned to the tensor dimensions.
-        If None, the default layout is col-major. Otherwise, it should be a permutation of the dimension indices.
+        If None, the default layout is left-to-right order (known as column-major order for flatten layout).
+        Otherwise, it should be a permutation order of the dimension indices.
     :type stride_order: tuple[int, ...], optional
     :param memspace: Memory space where the fake tensor resides. Optional.
     :type memspace: str, optional