convert_model() in openvino.runtime. (#18080)

* Used pip wheel to build OpenVINO wheel

* Added convert_model() to openvino.runtime.

* Removed duplication of InputCutInfo, LayoutMap

* Switched Model Conversion API tests to convert_model from openvino.runtime.

* Small correction.

* Format correction.

* Small correction.

* Removed duplication of moc frontend files.

* Small correction.

* Removed duplication of cli_parser, offline_transformations.

* Code corrections.

* Removed code duplications.

* Removed code duplications.

* Updated codeowners.

* Switched layer tests to convert_model().

* Improvements

* Small correction.

* Caffe parser path fix.

* Added python api properly into deb / rpm packages

* Moved implementation to ovc tool.

* Moved implementation to ovc tool.

* Small correction.

* Use cmake -E variant from cmake 3.13

* Namespace fixes.

* Minor fixes.

* Pylint fixes.

* Fixed BOM file.

* Small corrections.

* Minor corrections.

* Minor fix.

* Error fixes.

* Added telemetry requirement.

* Improvements to fix CI

* Some refactoring

* Don't use developer package for scripts projects

* Added exception in case when MO is not imported.

* Removed exception from init.

* Removed changes from cmake.

* Added unit ovc tests, fixed minor errors.

* Added ovc unit tests to azure.

* Corrected imports.

* Fixed path to tests.

* Added missed files.

* Corrected github labels.

* Removed benchmark app from dev package.

* Small fix.

* Small corrections.

* Comment fixed.

* Removed changes from setup.py

* Removed not needed change.

* Removed duplicating unit tests.

* Removed wrong change.

* Removed not needed change.

* Apply suggestions from code review

Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>

* Added ovc tool test, corrected imports.

* Added legacy TF config test.

* Removed not needed files.

---------

Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>

tests/layer_tests/mo_python_api_tests/mo_convert_help.py

@@ -1,7 +1,7 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-from openvino.tools.mo import convert_model
+from openvino.runtime import convert_model
 
 if __name__ == "__main__":
     convert_model(help=True)

tests/layer_tests/mo_python_api_tests/test_mo_convert_complex_params.py

@@ -4,8 +4,7 @@
 import numpy as np
 import os
 import pytest
-from openvino.runtime import Model, Layout, PartialShape, Shape, layout_helpers, Type, Dimension
-from openvino.tools.mo.convert import InputCutInfo, LayoutMap
+from openvino.runtime import Model, Layout, PartialShape, Shape, layout_helpers, Type, Dimension, InputCutInfo, LayoutMap
 
 from common.mo_convert_test_class import CommonMOConvertTest
 from common.tf_layer_test_class import save_to_pb

tests/layer_tests/mo_python_api_tests/test_mo_convert_pytorch.py

@@ -9,8 +9,7 @@ import openvino.runtime as ov
 import pytest
 import torch
 import unittest
-from openvino.runtime import PartialShape, Dimension, Model, Type
-from openvino.tools.mo import InputCutInfo
+from openvino.runtime import PartialShape, Dimension, Model, Type, InputCutInfo
 
 from common.mo_convert_test_class import CommonMOConvertTest
 
@@ -747,7 +746,7 @@ def create_pt_model_with_custom_op():
 
 class ConvertRaises(unittest.TestCase):
     def test_example_inputs(self):
-        from openvino.tools.mo import convert_model
+        from openvino.runtime import convert_model
         pytorch_model = create_pt_model_with_custom_op()
 
         # Check that mo raises error message of wrong argument.

tests/layer_tests/mo_python_api_tests/test_mo_convert_tf.py

@@ -666,7 +666,7 @@ class TFConvertTest(unittest.TestCase):
     @pytest.mark.precommit
     def test_tf_function_no_signature(self):
         import tensorflow as tf
-        from openvino.tools.mo import convert_model
+        from openvino.runtime import convert_model
 
         @tf.function()
         def function(x1, x2):

tests/layer_tests/mo_python_api_tests/test_mo_help.py

@@ -6,7 +6,7 @@ import os
 import sys
 import unittest
 from openvino.tools.mo import mo
-from openvino.tools.mo.utils.cli_parser import get_mo_convert_params
+from openvino.tools.ovc.cli_parser import get_mo_convert_params
 from pathlib import Path
 
 from common.utils.common_utils import shell

tests/layer_tests/mo_python_api_tests/test_ovc_cli_tool.py

@@ -0,0 +1,89 @@
+# Copyright (C) 2018-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+import sys
+from pathlib import Path
+
+import numpy as np
+import openvino.runtime as ov
+from openvino.runtime import PartialShape, Model
+from openvino.test_utils import compare_functions
+from openvino.tools.ovc import ovc
+
+from common.mo_convert_test_class import CommonMOConvertTest
+from common.tf_layer_test_class import save_to_pb
+from common.utils.common_utils import shell
+
+
+def generate_ir_ovc(coverage=False, **kwargs):
+    # Get OVC file directory
+    ovc_path = Path(ovc.__file__).parent
+
+    ovc_runner = ovc_path.joinpath('main.py').as_posix()
+    if coverage:
+        params = [sys.executable, '-m', 'coverage', 'run', '-p', '--source={}'.format(ovc_runner.parent),
+                  '--omit=*_test.py', ovc_runner]
+    else:
+        params = [sys.executable, ovc_runner]
+    for key, value in kwargs.items():
+        if key == "batch":
+            params.extend(("-b", str(value)))
+        elif key == "k":
+            params.extend(("-k", str(value)))
+        # for FP32 set explicitly compress_to_fp16=False,
+        # if we omit this argument for FP32, it will be set implicitly to True as the default
+        elif key == 'compress_to_fp16':
+            params.append("--{}={}".format(key, value))
+        elif isinstance(value, bool) and value:
+            params.append("--{}".format(key))
+        elif isinstance(value, bool) and not value:
+            continue
+        elif (isinstance(value, tuple) and value) or (isinstance(value, str)):
+            params.extend(("--{}".format(key), str('"{}"'.format(value))))
+        elif key == "mean_values" and (' ' in value or '(' in value):
+            params.extend(("--{}".format(key), str('"{}"'.format(value))))
+        else:
+            params.extend(("--{}".format(key), str(value)))
+    exit_code, stdout, stderr = shell(params)
+    return exit_code, stderr
+
+def create_ref_graph():
+    shape = PartialShape([1, 3, 2, 2])
+    param = ov.opset8.parameter(shape, dtype=np.float32)
+    relu = ov.opset8.relu(param)
+    sigm = ov.opset8.sigmoid(relu)
+
+    return Model([sigm], [param], "test")
+
+class TestOVCTool(CommonMOConvertTest):
+    def create_tf_model(self, tmp_dir):
+        import tensorflow as tf
+
+        tf.compat.v1.reset_default_graph()
+
+        with tf.compat.v1.Session() as sess:
+            inp = tf.compat.v1.placeholder(tf.float32, [1, 3, 2, 2], 'Input')
+            relu = tf.nn.relu(inp, name='Relu')
+            output = tf.nn.sigmoid(relu, name='Sigmoid')
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        # save model to .pb and return path to the model
+        return save_to_pb(tf_net, tmp_dir)
+
+
+    def test_ovc_tool(self, ie_device, precision, ir_version, temp_dir, use_new_frontend, use_old_api):
+        from openvino.runtime import Core
+
+        model_path = self.create_tf_model(temp_dir)
+
+        core = Core()
+
+        # tests for MO cli tool
+        exit_code, stderr = generate_ir_ovc(coverage=False, **{"input_model": model_path, "output_dir": temp_dir})
+        assert not exit_code
+
+        ov_model = core.read_model(os.path.join(temp_dir, "model.xml"))
+        flag, msg = compare_functions(ov_model, create_ref_graph(), False)
+        assert flag, msg