diff --git a/python/tvm/relay/frontend/tensorflow_ops.py b/python/tvm/relay/frontend/tensorflow_ops.py
index df8b7438af88..9b36d712e9ec 100644
--- a/python/tvm/relay/frontend/tensorflow_ops.py
+++ b/python/tvm/relay/frontend/tensorflow_ops.py
@@ -2454,6 +2454,7 @@ def _impl(inputs, attr, params, mod):
                 delta = inputs[2]
 
         # if all attributes are constant, evalute the range function and return relay.const
+        dtype = attr["Tidx"].name if "Tidx" in attr else str(start.dtype)
         if all(
             [
                 isinstance(start, (np.int32, np.int64, int, np.float32, np.float64, float)),
@@ -2461,9 +2462,8 @@ def _impl(inputs, attr, params, mod):
                 isinstance(delta, (np.int32, np.int64, int, np.float32, np.float64, float)),
             ]
         ):
-            return tvm.relay.const(list(range(int(start), int(limit), int(delta))))
+            return tvm.relay.const(list(range(int(start), int(limit), int(delta))), dtype=dtype)
 
-        dtype = attr["Tidx"].name if "Tidx" in attr else str(start.dtype)
         if isinstance(start, (np.int32, np.int64, int, np.float32, np.float64, float)):
             start = _expr.const(start, dtype=dtype)
         if isinstance(limit, (np.int32, np.int64, int, np.float32, np.float64, float)):