Unused transformations deleted (#7428)

openvinotoolkit · Sep 9, 2021 · aa106ad · aa106ad
1 parent c33856b
commit aa106ad
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diff --git a/model-optimizer/automation/package_BOM.txt b/model-optimizer/automation/package_BOM.txt
@@ -52,11 +52,9 @@ extensions/back/ResultNormalizer.py
 extensions/back/ResultRename.py
 extensions/back/ReverseInputChannels.py
 extensions/back/RNNSequenceTypeRename.py
-extensions/back/ScalarConstNormalize.py
 extensions/back/SelectBroadcast.py
 extensions/back/ShapeOfConstFolding.py
 extensions/back/ShuffleChannelPatternOptimization.py
-extensions/back/ShufflenetReLUReorder.py
 extensions/back/SpecialNodesFinalization.py
 extensions/back/StridedSliceMasksNormalizer.py
 extensions/back/TopKNormalizer.py

diff --git a/model-optimizer/extensions/back/ReduceMerge.py b/model-optimizer/extensions/back/ReduceMerge.py
@@ -5,7 +5,6 @@
 
 import numpy as np
 
-from extensions.back.ScalarConstNormalize import ScalarNormalize
 from extensions.ops.ReduceOps import reduce_map
 from mo.back.replacement import BackReplacementPattern
 from mo.front.common.partial_infer.utils import int64_array
@@ -23,9 +22,6 @@ class ReduceMerge(BackReplacementPattern):
     enabled = True
     force_clean_up = True
 
-    def run_before(self):
-        return [ScalarNormalize]
-
     @staticmethod
     def fuse_reduces(first_reduce, second_reduce):
         first_reduce_name = first_reduce.soft_get('name', first_reduce.id)

diff --git a/model-optimizer/extensions/back/ScalarConstNormalize.py b/model-optimizer/extensions/back/ScalarConstNormalize.py
diff --git a/model-optimizer/extensions/back/ShufflenetReLUReorder.py b/model-optimizer/extensions/back/ShufflenetReLUReorder.py
diff --git a/model-optimizer/extensions/back/TopKNormalizer.py b/model-optimizer/extensions/back/TopKNormalizer.py
@@ -2,7 +2,6 @@
 # SPDX-License-Identifier: Apache-2.0
 
 from extensions.back.Reshape0DToSqueeze import Reshape0DToSqueeze
-from extensions.back.ScalarConstNormalize import ScalarNormalize
 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
@@ -23,9 +22,6 @@ class TopKNormalizer(BackReplacementPattern):
     """
     enabled = True
 
-    def run_after(self):
-        return [ScalarNormalize]
-
     def run_before(self):
         return [Reshape0DToSqueeze]
 

diff --git a/model-optimizer/unit_tests/extensions/back/ShufflenetReLUReorder_test.py b/model-optimizer/unit_tests/extensions/back/ShufflenetReLUReorder_test.py