diff --git a/tests/python/frontend/tensorflow/test_forward.py b/tests/python/frontend/tensorflow/test_forward.py
index c80da18133601..3c3d39274dc52 100644
--- a/tests/python/frontend/tensorflow/test_forward.py
+++ b/tests/python/frontend/tensorflow/test_forward.py
@@ -36,6 +36,20 @@
 import tvm.relay.testing.tf as tf_testing
 import tvm.testing
 
+from tensorflow.python.framework import constant_op
+from tensorflow.python.framework import graph_util
+from tensorflow.python.ops import nn_ops
+from tensorflow.python.ops import nn
+from tensorflow.python.ops import array_ops
+from tensorflow.python.ops import math_ops
+from tensorflow.python.ops import variable_scope
+from tensorflow.python.ops import variables
+from tensorflow.python.ops import init_ops
+from tensorflow.python.framework import function
+from tensorflow.python.framework import ops
+from tensorflow.python.framework import dtypes
+from tensorflow.python.ops import gen_functional_ops
+
 try:
     import tensorflow.compat.v1 as tf
 
@@ -4666,7 +4680,7 @@ def _check_op(tf_op, ishape, axis, keepdims, dtype="float32"):
             compare_tf_with_tvm([np_data], ["in_data:0"], reduce_op.name)
 
     def _test_math_op(op, dtypes=["int32", "float32"]):
-        # pylint: disable=dangerous-default-value
+        # pylint: disable=dangerous-default-value, redefined-outer-name
         for dtype in dtypes:
             _check_op(op, (3, 10), axis=(-1), keepdims=False, dtype=dtype)
             _check_op(op, (8, 16, 32), axis=(-1), keepdims=False, dtype=dtype)
@@ -4710,7 +4724,7 @@ def _check_op(tf_op, ishape, axis, keepdims, range_axis=False, dtype="float32"):
             compare_tf_with_tvm([np_data], ["in_data:0"], reduce_op.name)
 
     def _test_raw_reduce_op(op, dtypes=["int32", "float32"]):
-        # pylint: disable=dangerous-default-value
+        # pylint: disable=dangerous-default-value, redefined-outer-name
         for dtype in dtypes:
             _check_op(op, (3, 10), axis=(-1), keepdims=False, dtype=dtype)
             _check_op(op, (8, 16, 32), axis=(-1), keepdims=False, dtype=dtype)
diff --git a/tests/python/frontend/tflite/test_forward.py b/tests/python/frontend/tflite/test_forward.py
index abea76acbc8ac..fc67a58e740f5 100644
--- a/tests/python/frontend/tflite/test_forward.py
+++ b/tests/python/frontend/tflite/test_forward.py
@@ -2234,16 +2234,28 @@ def __test_elemwise(in_data):
                 out = math_op(inq_data[0], inq_data[1])
                 out = with_fused_activation_function(out, fused_activation_function)
 
-            # Note same_qnn_params uses experimental_new_converter as toco failed
-            compare_tflite_with_tvm(
-                [x[1] for x in zip(in_data, data) if x[0] is not None],
-                [x + ":0" for x in input_range.keys()],
-                [x[1] for x in zip(in_data, inq_data) if x[0] is not None],
-                [out],
-                quantized=True,
-                input_range=input_range,
-                experimental_new_converter=same_qnn_params,
-            )
+                compare_tflite_with_tvm(
+                    [x[1] for x in zip(in_data, data) if x[0] is not None],
+                    [x + ":0" for x in input_range.keys()],
+                    [x[1] for x in zip(in_data, inq_data) if x[0] is not None],
+                    [out],
+                )
+            else:
+                out = math_op(inq_data[0], inq_data[1])
+                out = with_fused_activation_function(out, fused_activation_function)
+                out = tf.quantization.fake_quant_with_min_max_args(
+                    out, min=out_min, max=out_max, name="out"
+                )
+                # Note same_qnn_params uses experimental_new_converter as toco failed
+                compare_tflite_with_tvm(
+                    [x[1] for x in zip(in_data, data) if x[0] is not None],
+                    [x + ":0" for x in input_range.keys()],
+                    [x[1] for x in zip(in_data, inq_data) if x[0] is not None],
+                    [out],
+                    quantized=True,
+                    input_range=input_range,
+                    experimental_new_converter=same_qnn_params,
+                )
         else:
             out = math_op(
                 in_data[0]
@@ -5003,6 +5015,8 @@ def test_forward_nms_v5():
 # Main
 # ----
 if __name__ == "__main__":
+    test_all_elemwise()
+    assert 0
     # BatchToSpaceND
     test_forward_batch_to_space_nd()