diff --git a/python/tvm/relay/frontend/tensorflow.py b/python/tvm/relay/frontend/tensorflow.py
index 4a7a7da307fc..ca24e1b35374 100644
--- a/python/tvm/relay/frontend/tensorflow.py
+++ b/python/tvm/relay/frontend/tensorflow.py
@@ -1454,9 +1454,9 @@ def _impl(inputs, attr, params, mod):
                 break
 
         if is_symbolic_shape:
-            ret = _op.shape_of(inputs[0], dtype="int32")
+            ret = _op.shape_of(inputs[0], dtype=attr["out_type"].name)
         else:
-            ret = np.array(input_shape, dtype="int32")
+            ret = np.array(input_shape, dtype=attr["out_type"].name)
         return ret
 
     return _impl
@@ -1862,11 +1862,11 @@ def _impl(inputs, attr, params, mod):
 
         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)
+            start = _expr.const(start, dtype=dtype)
         if isinstance(limit, (np.int32, np.int64, int, np.float32, np.float64, float)):
-            limit = _expr.const(limit)
+            limit = _expr.const(limit, dtype=dtype)
         if isinstance(delta, (np.int32, np.int64, int, np.float32, np.float64, float)):
-            delta = _expr.const(delta)
+            delta = _expr.const(delta, dtype=dtype)
 
         return AttrCvt(
             op_name="arange",
diff --git a/tests/python/frontend/tensorflow/test_forward.py b/tests/python/frontend/tensorflow/test_forward.py
index 93bfd0cbaf83..23a4b7abe5ab 100644
--- a/tests/python/frontend/tensorflow/test_forward.py
+++ b/tests/python/frontend/tensorflow/test_forward.py
@@ -2783,10 +2783,11 @@ def test_forward_unpack():
 
 def test_forward_range():
     """test operator Range"""
-    tf.reset_default_graph()
-    with tf.Graph().as_default():
-        tf.range(1, 18, 3, name="range")
-        compare_tf_with_tvm([], [], "range:0")
+    for dtype in [tf.int32, tf.int64]:
+        tf.reset_default_graph()
+        with tf.Graph().as_default():
+            tf.range(1, 18, 3, name="range", dtype=dtype)
+            compare_tf_with_tvm([], [], "range:0")
 
     """test type assignment for operator Range"""
     tf.reset_default_graph()