Fix of crashes of convert_model() when executed for different frameworks (#16968)

* Fix of class conflicts in different frameworks.

* Remove commented code.

* Moved FakeQuantWithMinMaxVars to common part.

* Fixed BOM package test.

* Removed not needed code.

* Removed not needed code.

tools/mo/automation/package_BOM.txt

@@ -171,6 +171,7 @@ openvino/tools/mo/front/div.py
 openvino/tools/mo/front/eltwise_n.py
 openvino/tools/mo/front/ExpandDimsToUnsqueeze.py
 openvino/tools/mo/front/extractor.py
+openvino/tools/mo/front/FakeQuantWithMinMaxVars.py
 openvino/tools/mo/front/FillToBroadcast.py
 openvino/tools/mo/front/flatten_to_reshape.py
 openvino/tools/mo/front/freeze_placeholder_value.py
@@ -538,7 +539,6 @@ openvino/tools/mo/front/tf/extractors/utils.py
 openvino/tools/mo/front/tf/eye_ext.py
 openvino/tools/mo/front/tf/eye_tf_to_eye.py
 openvino/tools/mo/front/tf/fake_const_ext.py
-openvino/tools/mo/front/tf/FakeQuantWithMinMaxVars.py
 openvino/tools/mo/front/tf/FakeQuantWithMinMaxVars_ext.py
 openvino/tools/mo/front/tf/faster_rcnn_support.json
 openvino/tools/mo/front/tf/faster_rcnn_support_api_v1.10.json

tools/mo/openvino/tools/mo/front/disable_weights_quantize_value_propagation.py

@@ -1,7 +1,7 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-from openvino.tools.mo.front.tf.FakeQuantWithMinMaxVars import FakeQuantWithMinMaxVarsToQuantize
+from openvino.tools.mo.front.FakeQuantWithMinMaxVars import FakeQuantWithMinMaxVarsToQuantize
 from openvino.tools.mo.front.common.replacement import FrontReplacementPattern
 from openvino.tools.mo.graph.graph import Graph
 

tools/mo/openvino/tools/mo/front/tf/ObjectDetectionAPI.py

@@ -27,7 +27,7 @@ from openvino.tools.mo.front.Pack import Pack
 from openvino.tools.mo.front.TransposeOrderNormalizer import TransposeOrderNormalizer
 from openvino.tools.mo.front.split_normalizer import SqueezeAxis
 from openvino.tools.mo.front.tf.CropAndResizeReplacement import CropAndResizeReplacement
-from openvino.tools.mo.front.tf.FakeQuantWithMinMaxVars import FakeQuantWithMinMaxVarsToQuantize
+from openvino.tools.mo.front.FakeQuantWithMinMaxVars import FakeQuantWithMinMaxVarsToQuantize
 from openvino.tools.mo.front.tf.MapFNTransformation import MapFNInputSlicing, MapFNOutputConcatenation,\
     TensorListOutputConcatenation
 from openvino.tools.mo.front.tf.TFSliceToSlice import TFSliceToSliceReplacer

tools/mo/openvino/tools/mo/utils/class_registration.py

@@ -70,15 +70,8 @@ def _update(cls, registered_list: list, registered_dict: dict, key: str, enabled
     # print('Registering new subclasses for', cls)
 
     for c in cls.__subclasses__():
-        # skip importing loaders of other frameworks
-        if cls.__name__ == 'Loader':
-            need_exclude = False
-            for framework in exclude_modules:
-                if framework in c.__module__:
-                    need_exclude = True
-                    break
-            if need_exclude:
-                continue
+        if need_exclude_class(c, exclude_modules):
+            continue
         # Force enabling operations
         if hasattr(c, 'id') and c.id in enabled_transforms or \
                 ".".join([c.__module__, c.__name__]) in enabled_transforms:
@@ -223,6 +216,13 @@ class DependencyGraph(Graph):
         return order
 
 
+def need_exclude_class(class_type, excluded_frameworks):
+    for framework in excluded_frameworks:
+        if "." + framework + "." in str(class_type):
+            return True
+    return False
+
+
 def get_replacers_order(transform_types: list):
     """
     Gets all transforms that do not have 'op'.
@@ -245,9 +245,11 @@ def get_replacers_order(transform_types: list):
 
     for i, replacer_cls in enumerate(replacers):
         for cls_after in replacer_cls().run_before():
-            dependency_graph.add_edge(replacer_cls, cls_after)
+            if cls_after in replacers:
+                dependency_graph.add_edge(replacer_cls, cls_after)
         for cls_before in replacer_cls().run_after():
-            dependency_graph.add_edge(cls_before, replacer_cls)
+            if cls_before in replacers:
+                dependency_graph.add_edge(cls_before, replacer_cls)
 
     replacers_order = dependency_graph.determined_sort()