diff --git a/model-optimizer/automation/package_BOM.txt b/model-optimizer/automation/package_BOM.txt
index 76cd21fd2add98..9f61c68d961b36 100644
--- a/model-optimizer/automation/package_BOM.txt
+++ b/model-optimizer/automation/package_BOM.txt
@@ -47,7 +47,6 @@ extensions/back/ReduceMerge.py
 extensions/back/ReduceTransposeDimensions.py
 extensions/back/remove_last_softmax_pattern.py
 extensions/back/RemoveUselessConvert.py
-extensions/back/Reshape0DToSqueeze.py
 extensions/back/ReshapeMutation.py
 extensions/back/ResultNormalizer.py
 extensions/back/ResultRename.py
diff --git a/model-optimizer/extensions/back/Reshape0DToSqueeze.py b/model-optimizer/extensions/back/Reshape0DToSqueeze.py
deleted file mode 100644
index 9ac585fd30bc34..00000000000000
--- a/model-optimizer/extensions/back/Reshape0DToSqueeze.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# Copyright (C) 2018-2021 Intel Corporation
-# SPDX-License-Identifier: Apache-2.0
-
-import logging as log
-
-import numpy as np
-
-from extensions.back.ForceStrictPrecision import ForceStrictPrecision
-from mo.back.replacement import BackReplacementPattern
-from mo.front.common.partial_infer.utils import int64_array
-from mo.front.tf.graph_utils import create_op_node_with_second_input
-from mo.graph.graph import Graph
-from mo.ops.squeeze import Squeeze
-
-
-class Reshape0DToSqueeze(BackReplacementPattern):
-    """
-    Transformation looks for the Reshape layers which generate 0D tensor and replace them with Reshape_1D->Squeeze to
-    overcome issue the IE doesn't 1D constants with value [0] which is generated for the Reshape to OD case.
-    """
-    enabled = True
-    force_shape_inference = True
-
-    def run_before(self):
-        return [ForceStrictPrecision]
-
-    def find_and_replace_pattern(self, graph: Graph):
-        for reshape_node in graph.get_op_nodes(op='Reshape'):
-            output_shape = reshape_node.in_port(1).data.get_value()
-            shape_producer_node = reshape_node.in_port(1).get_source().node
-            assert output_shape is not None
-            if np.array_equal(output_shape, []) and shape_producer_node.op == 'Const':
-                log.debug('Reshape node {} changes shape to 0D tensor.'.format(reshape_node.name))
-                shape_producer_node.value = int64_array([1])
-                shape_producer_node.shape = int64_array([1])
-                shape_producer_node['need_shape_inference'] = True
-                shape_producer_node['override_output_shape'] = True
-
-                reshape_node['need_shape_inference'] = True
-                reshape_node['override_output_shape'] = True
-
-                squeeze_0D = create_op_node_with_second_input(graph, Squeeze, int64_array([0]))
-                squeeze_0D['override_output_shape'] = True
-
-                reshape_node.out_port(0).get_connection().insert_node(squeeze_0D)
diff --git a/model-optimizer/extensions/back/TopKNormalizer.py b/model-optimizer/extensions/back/TopKNormalizer.py
index 90c43d641a187b..fdd5b20a6830b9 100644
--- a/model-optimizer/extensions/back/TopKNormalizer.py
+++ b/model-optimizer/extensions/back/TopKNormalizer.py
@@ -1,7 +1,6 @@
 # Copyright (C) 2018-2021 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-from extensions.back.Reshape0DToSqueeze import Reshape0DToSqueeze
 from mo.back.replacement import BackReplacementPattern
 from mo.front.common.partial_infer.utils import int64_array
 from mo.front.tf.graph_utils import create_op_node_with_second_input
@@ -22,9 +21,6 @@ class TopKNormalizer(BackReplacementPattern):
     """
     enabled = True
 
-    def run_before(self):
-        return [Reshape0DToSqueeze]
-
     @staticmethod
     def pattern():
         return dict(