Fix merge conflict

model-optimizer/mo/main.py

@@ -14,10 +14,10 @@
 
 import numpy as np
 
-try:
-    import openvino_telemetry as tm
-except ImportError:
-    import mo.utils.telemetry_stub as tm
+# try:
+#     import openvino_telemetry as tm
+# except ImportError:
+import mo.utils.telemetry_stub as tm
 
 from extensions.back.SpecialNodesFinalization import RemoveConstOps, CreateConstNodesReplacement, NormalizeTI
 from mo.back.ie_ir_ver_2.emitter import append_ir_info
@@ -44,7 +44,7 @@
 from mo.utils.versions_checker import check_requirements  # pylint: disable=no-name-in-module
 
 # pylint: disable=no-name-in-module,import-error
-from ngraph.frontend import FrontEndManager
+# from ngraph.frontend import FrontEndManager
 
 
 def replace_ext(name: str, old: str, new: str):
@@ -157,15 +157,15 @@ def prepare_ir(argv: argparse.Namespace):
 
     # This try-except is additional reinsurance that the IE
     # dependency search does not break the MO pipeline
-    def raise_ie_not_found():
-        raise Error("Could not find the Inference Engine or nGraph Python API.\n"
-                    "Consider building the Inference Engine and nGraph Python APIs from sources or try to install OpenVINO (TM) Toolkit using \"install_prerequisites.{}\"".format(
-                    "bat" if sys.platform == "windows" else "sh"))
-    try:
-        if not find_ie_version(silent=argv.silent):
-            raise_ie_not_found()
-    except Exception as e:
-        raise_ie_not_found()
+    # def raise_ie_not_found():
+    #     raise Error("Could not find the Inference Engine or nGraph Python API.\n"
+    #                 "Consider building the Inference Engine and nGraph Python APIs from sources or try to install OpenVINO (TM) Toolkit using \"install_prerequisites.{}\"".format(
+    #                 "bat" if sys.platform == "windows" else "sh"))
+    # try:
+    #     if not find_ie_version(silent=argv.silent):
+    #         raise_ie_not_found()
+    # except Exception as e:
+    #     raise_ie_not_found()
 
     # This is just to check that transform key is valid and transformations are available
     check_available_transforms(parse_transform(argv.transform))