diff --git a/docs/how_to/tutorials/customize_opt.py b/docs/how_to/tutorials/customize_opt.py
index 2e2747d61fc5..c175f43c6fcf 100644
--- a/docs/how_to/tutorials/customize_opt.py
+++ b/docs/how_to/tutorials/customize_opt.py
@@ -103,7 +103,16 @@ def forward(self, x):
 
 
 # Import cublas pattern
-import tvm.relax.backend.cuda.cublas as _cublas
+try:
+    import tvm.relax.backend.cuda.cublas as _cublas
+except ImportError as e:
+    raise ImportError(
+        "This tutorial requires TVM built with CUDA support.\n"
+        "If you hit missing 'tvm_ffi', try: pip install apache-tvm-ffi\n"
+        "Otherwise build TVM with CUDA enabled:\n"
+        "  https://tvm.apache.org/docs/install/from_source.html\n"
+        f"Original error: {e}"
+    ) from e
 
 
 # Define a new pass for CUBLAS dispatch
@@ -174,7 +183,7 @@ def transform_module(self, mod: IRModule, _ctx: tvm.transform.PassContext) -> IR
 # e.g. language model, DLight provides excellent performance, while for generic models,
 # it achieves a balance between performance and compilation time.
 
-from tvm import dlight as dl
+from tvm.s_tir import dlight as dl
 
 # Apply DLight rules
 with target: