OVC pylint fix (#22558)

* Test change.

* PyLint fix.

* Small fix.

* Separated MO and OVC workflows.

* Corrected ovc workflow.

* Fixed error.

* Fixed error.

* PyLint fix.

* PyLint fix.

* Removed not needed change.

* Temporarily removed changes from OVC.

* Returned changes.

* Returned changes.

* Added merge_group.

* Update tools/ovc/openvino/tools/ovc/moc_frontend/pytorch_frontend_utils.py

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

---------

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

.github/workflows/mo.yml

@@ -53,8 +53,4 @@ jobs:
 
       - name: Pylint-MO
         run: pylint -d C,R,W openvino/tools/mo
-        working-directory: tools/mo
-
-      - name: Pylint-OVC
-        run: pylint -d C,R,W openvino/tools/ovc
-        working-directory: tools/ovc
+        working-directory: tools/mo

.github/workflows/ovc.yml

@@ -0,0 +1,54 @@
+name: OVC
+on:
+  merge_group:
+  push:
+    paths:
+      - 'tools/ovc/**'
+      - '.github/workflows/ovc.yml'
+    branches:
+      - 'master'
+      - 'releases/**'
+  pull_request:
+    paths:
+      - 'tools/ovc/**'
+      - '.github/workflows/ovc.yml'
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  Pylint-UT:
+    runs-on: ubuntu-22.04
+    steps:
+      - name: Clone OpenVINO
+        uses: actions/checkout@v4
+
+      - name: Setup Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+
+      - name: Cache pip
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pip
+          key: ${{ runner.os }}-pip-${{ hashFiles('src/bindings/python/requirements*.txt') }}
+          restore-keys: |
+            ${{ runner.os }}-pip-
+            ${{ runner.os }}-
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip setuptools
+          # For UT
+          pip install unittest-xml-reporting==3.0.2
+          pip install pylint>=2.7.0
+          pip install pyenchant>=3.0.0
+
+          pip install -r requirements.txt
+        working-directory: src/bindings/python/
+
+      - name: Pylint-OVC
+        run: pylint -d C,R,W openvino/tools/ovc
+        working-directory: tools/ovc

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

@@ -207,7 +207,7 @@ def prepare_graph_def(model):
         for node in nodes_to_clear_device:
             node.device = ""
         return model, {}, "tf", None
-    if isinstance(model, tf.keras.Model):
+    if isinstance(model, tf.keras.Model): # pylint: disable=no-member
 
         assert hasattr(model, "inputs") and model.inputs is not None, "Model inputs specification is required."
 
@@ -215,7 +215,7 @@ def prepare_graph_def(model):
         for inp in model.inputs:
             if isinstance(inp, tf.Tensor):
                 model_inputs.append(inp)
-            elif tf.keras.backend.is_keras_tensor(inp):
+            elif tf.keras.backend.is_keras_tensor(inp): # pylint: disable=no-member
                 model_inputs.append(inp.type_spec)
             else:
                 raise Error("Unknown input tensor type {}".format(type(input)))
@@ -308,7 +308,7 @@ def load_tf_graph_def(graph_file_name: str = "", is_binary: bool = True, checkpo
                     # Code to extract Keras model.
                     # tf.keras.models.load_model function throws TypeError,KeyError or IndexError
                     # for TF 1.x SavedModel format in case TF 1.x installed
-                    imported = tf.keras.models.load_model(model_dir, compile=False)
+                    imported = tf.keras.models.load_model(model_dir, compile=False) # pylint: disable=no-member
                 except:
                     imported = tf.saved_model.load(model_dir, saved_model_tags)  # pylint: disable=E1120
 

tools/ovc/openvino/tools/ovc/logger.py

@@ -10,7 +10,7 @@ from copy import copy
 # WA for abseil bug that affects logging while importing TF starting 1.14 version
 # Link to original issue: https://github.com/abseil/abseil-py/issues/99
 if importlib.util.find_spec('absl') is not None:
-    import absl.logging
+    import absl.logging # pylint: disable=import-error
 
     log.root.removeHandler(absl.logging._absl_handler)
 

tools/ovc/openvino/tools/ovc/moc_frontend/pytorch_frontend_utils.py

@@ -35,7 +35,7 @@ def get_pytorch_decoder(model, example_inputs, args):
     inputs = prepare_torch_inputs(example_inputs)
     if not isinstance(model, (TorchScriptPythonDecoder, TorchFXPythonDecoder)):
         if isinstance(model, torch.export.ExportedProgram):
-            raise RuntimeException("Models recieved from torch.export are not yet supported by convert_model.")
+            raise RuntimeError("Models received from torch.export are not yet supported by convert_model.")
         else:
             decoder = TorchScriptPythonDecoder(model, example_input=inputs, shared_memory=args.get("share_weights", True))
     else:

tools/ovc/openvino/tools/ovc/moc_frontend/shape_utils.py

@@ -76,7 +76,7 @@ def tensor_to_int_list(tensor):
 
 def to_partial_shape(shape):
     if 'tensorflow' in sys.modules:
-        import tensorflow as tf
+        import tensorflow as tf  # pylint: disable=import-error
         if isinstance(shape, tf.Tensor):
             return PartialShape(tensor_to_int_list(shape))
         if isinstance(shape, tf.TensorShape):
@@ -92,7 +92,7 @@ def is_shape_type(value):
     if isinstance(value, PartialShape):
         return True
     if 'tensorflow' in sys.modules:
-        import tensorflow as tf
+        import tensorflow as tf # pylint: disable=import-error
         if isinstance(value, (tf.TensorShape, tf.Tensor)):
             return True
     if 'paddle' in sys.modules:

tools/ovc/openvino/tools/ovc/moc_frontend/type_utils.py

@@ -11,7 +11,7 @@ def is_type(val):
     if isinstance(val, (type, Type)):
         return True
     if 'tensorflow' in sys.modules:
-        import tensorflow as tf
+        import tensorflow as tf # pylint: disable=import-error
         if isinstance(val, tf.dtypes.DType):
             return True
     if 'torch' in sys.modules:
@@ -31,7 +31,7 @@ def to_ov_type(val):
     if isinstance(val, type):
         return Type(val)
     if 'tensorflow' in sys.modules:
-        import tensorflow as tf
+        import tensorflow as tf # pylint: disable=import-error
         if isinstance(val, tf.dtypes.DType):
             return Type(val.as_numpy_dtype())
     if 'torch' in sys.modules: