diff --git a/python/tvm/relay/backend/interpreter.py b/python/tvm/relay/backend/interpreter.py
index 7a70a6e45e17..e927df22b201 100644
--- a/python/tvm/relay/backend/interpreter.py
+++ b/python/tvm/relay/backend/interpreter.py
@@ -95,7 +95,7 @@ def __init__(self, value):
 
 def _arg_to_ast(arg):
     if isinstance(arg, TensorValue):
-        return Constant(arg.data.copyto(_nd.cpu(0)))
+        return Constant(arg.data.copyto(nd.cpu(0)))
     elif isinstance(arg, np.ndarray):
         return Constant(nd.array(arg))
     elif isinstance(arg, Constant):
diff --git a/tests/python/relay/test_backend_interpreter.py b/tests/python/relay/test_backend_interpreter.py
index 801b3068eff0..773af1f9fe0e 100644
--- a/tests/python/relay/test_backend_interpreter.py
+++ b/tests/python/relay/test_backend_interpreter.py
@@ -2,7 +2,7 @@
 import tvm
 import tvm.testing
 from tvm import relay
-from tvm.relay.backend.interpreter import Value, TupleValue
+from tvm.relay.backend.interpreter import Value, TupleValue, TensorValue
 from tvm.relay.scope_builder import ScopeBuilder
 from tvm.relay import testing, create_executor
 
@@ -135,6 +135,11 @@ def test_binds():
     tvm.testing.assert_allclose(xx + xx, res)
 
 
+def test_tensor_value():
+    x = relay.var("x", shape=(1, 10))
+    xx = np.ones((1, 10)).astype("float32")
+    check_eval(relay.Function([x], x), [TensorValue(xx)], xx)
+
 def test_kwargs_params():
     x = relay.var("x", shape=(1, 10))
     y = relay.var("y", shape=(1, 10))
@@ -159,3 +164,4 @@ def test_kwargs_params():
     test_binds()
     test_kwargs_params()
     test_ref()
+    test_tensor_value()