diff --git a/python/tvm/relay/frontend/tflite.py b/python/tvm/relay/frontend/tflite.py
index 275d0ce11ef2..bba7d3b1789a 100644
--- a/python/tvm/relay/frontend/tflite.py
+++ b/python/tvm/relay/frontend/tflite.py
@@ -29,7 +29,6 @@
 from .. import op as _op
 from .. import qnn as _qnn
 from ... import nd as _nd
-from .util import get_scalar_from_constant
 from .common import ExprTable
 from .common import infer_shape as _infer_shape
 
@@ -2281,6 +2280,17 @@ def get_expr(self, input_tensor_idx):
     def has_expr(self, input_tensor_idx):
         return self.exp_tab.has_expr(get_tensor_name(self.subgraph, input_tensor_idx))
 
+
+def get_scalar_from_constant(expr):
+    """ Returns scalar value from Relay constant scalar. """
+    assert isinstance(expr, _expr.Constant) and not expr.data.shape, \
+        "Expr is not a constant scalar."
+    value = expr.data.asnumpy()
+    assert value.dtype == np.dtype(np.int32) or value.dtype == np.dtype(np.float32), \
+        "value must be float32/int32"
+    return np.asscalar(value)
+
+
 def build_str_map(obj):
     """Build string map of TFLite enum int value
 
diff --git a/python/tvm/relay/frontend/util.py b/python/tvm/relay/frontend/util.py
deleted file mode 100644
index a7f89a30b996..000000000000
--- a/python/tvm/relay/frontend/util.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#   http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied.  See the License for the
-# specific language governing permissions and limitations
-# under the License.
-# pylint: disable=wildcard-import, redefined-builtin, invalid-name
-""" Utility functions that are used across many directories. """
-from __future__ import absolute_import
-import numpy as np
-from .. import expr as _expr
-
-def get_scalar_from_constant(expr):
-    """ Returns scalar value from Relay constant scalar. """
-    assert isinstance(expr, _expr.Constant) and not expr.data.shape, \
-            "Expr is not a constant scalar."
-    value = expr.data.asnumpy()
-    if value.dtype == np.dtype(np.int32):
-        return int(value)
-    if value.dtype == np.dtype(np.float32):
-        return float(value)
-    assert False, "Constant expr must be float32/int32"
-    return None  # To suppress pylint
diff --git a/python/tvm/relay/qnn/op/legalizations.py b/python/tvm/relay/qnn/op/legalizations.py
index b1c19092b4c7..c96a730ee6ed 100644
--- a/python/tvm/relay/qnn/op/legalizations.py
+++ b/python/tvm/relay/qnn/op/legalizations.py
@@ -20,8 +20,8 @@
 
 import tvm
 from tvm import relay
+import numpy as np
 from .. import op as reg
-from ...frontend.util import get_scalar_from_constant
 
 #################################################
 # Register the functions for different operators.
@@ -54,6 +54,15 @@ def qnn_dense_legalize(attrs, inputs, types):
 # Helper functions.
 ###################
 
+def get_scalar_from_constant(expr):
+    """ Returns scalar value from Relay constant scalar. """
+    assert isinstance(expr, relay.Constant) and not expr.data.shape, \
+        "Expr is not a constant scalar."
+    value = expr.data.asnumpy()
+    assert value.dtype == np.dtype(np.int32) or value.dtype == np.dtype(np.float32), \
+        "value must be float32/int32"
+    return np.asscalar(value)
+
 # Helper function for lowering in the abscence of fast Int8 arithmetic units.
 def helper_no_fast_int8_hw_legalization(attrs, inputs, types, relay_op):
     """ Converts QNN operators into a sequence of Relay operators that are friendly to HW that do