[PyOV] Drop Python 3.6 support (#12280)

* Drop Python 3.6

* Test dropping Python to 3.6 in py_checks.yml

* Allow Python 3.6 for open source

* Add docs on upgrading Python

src/bindings/python/docs/api_overview.md

@@ -15,12 +15,12 @@ Supported Python* versions:
 
 | Operating System | Supported Python\* versions: |
 |:----- | :----- |
-| Ubuntu\* 18.04  | 3.6, 3.7 |
-| Ubuntu\* 20.04  | 3.6, 3.7, 3.8 |
-| Windows\* 10 | 3.6, 3.7, 3.8 |
-| CentOS\* 7.3 | 3.6, 3.7 |
-| macOS\* 10.x  | 3.6, 3.7 |
-| Raspbian\* 9  | 3.6, 3.7 |
+| Ubuntu\* 18.04  | 3.7 |
+| Ubuntu\* 20.04  | 3.7, 3.8 |
+| Windows\* 10 | 3.7, 3.8 |
+| CentOS\* 7.3 | 3.7 |
+| macOS\* 10.x  | 3.7 |
+| Raspbian\* 9  | 3.7 |
 
 
 ## Set Up the Environment

src/bindings/python/docs/contributing.md

@@ -4,6 +4,7 @@
 *To be added...*
 
 ##### Enviroment
+In case the Python version you have is not supported by OpenVINO, you can refer to [openvino/src/bindings/python/docs/python_version_upgrade.md](https://github.com/openvinotoolkit/openvino/blob/master/src/bindings/python/docs/python_version_upgrade.md) for instructions on how to download and build a newer, supported Python version.
 <!-- TODO: Link to enviroment setup -->
 *To be added...*
 

src/bindings/python/docs/python_version_upgrade.md

@@ -0,0 +1,37 @@
+# Python version upgrade
+
+#### Notes
+Upgrade described in this documentation file can be useful when using a system such as Ubuntu18, which default Python is no longer supported (in this case Python 3.6). The recommended action is to use a newer system instead of upgrading Python. 
+
+*Warning: You make all changes at your own risk.*
+
+## Building and installing Python for Linux
+
+Download Python from Python releases page and extract it:
+https://www.python.org/downloads/release 
+```bash
+curl -O https://www.python.org/ftp/python/3.8.13/Python-3.8.13.tgz
+tar -xf Python-3.8.13.tgz
+```
+
+Prepare the build with the `.configure` tool, ensuring that `pip` will be installed:
+```bash
+cd Python-3.8.13
+./configure --with-ensurepip=install
+```
+
+Build Python with number of jobs suitable for your machine:
+```bash
+make -j 8
+```
+
+Install your new Python version, making sure not to overwrite system Python by using `altinstall` target:
+```bash
+sudo make altinstall
+```
+
+Verify your installation:
+```bash
+python3.8 --version
+> Python 3.8.13
+```

src/bindings/python/setup.cfg

@@ -78,7 +78,7 @@ show_column_numbers = True
 show_error_context = True
 show_absolute_path = True
 pretty = True
-follow_imports=normal
+follow_imports = normal
 disallow_untyped_defs = True
 disallow_untyped_calls = True
 check_untyped_defs = True

src/bindings/python/src/compatibility/ngraph/opset1/ops.py

@@ -1557,7 +1557,6 @@ def matmul(
     :param transpose_b: should the second matrix be transposed
     :return: MatMul operation node
     """
-    print("transpose_a", transpose_a, "transpose_b", transpose_b)
     return _get_node_factory_opset1().create(
         "MatMul", as_nodes(data_a, data_b), {"transpose_a": transpose_a, "transpose_b": transpose_b}
     )

src/bindings/python/src/compatibility/openvino/README.md

@@ -2,8 +2,8 @@
 - [CMake\*](https://cmake.org/download/) 3.9 or later
 - Microsoft\* Visual Studio 2015 or later on Windows\*
 - gcc 4.8 or later on Linux
-- Python 2.7 or higher on Linux\*
-- Python 3.6 or higher on Windows\*
+- Python 3.7 or higher on Linux\*
+- Python 3.7 or higher on Windows\*
 
 ## Prerequisites
 
@@ -21,9 +21,9 @@ You need to run Inference Engine build with the following flags:
   cd <INSTALL_DIR>/openvino
   mkdir -p build
   cd build
-  cmake -DENABLE_PYTHON=ON -DPYTHON_EXECUTABLE=`which python3.6` \
-  	-DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.6m.so \
-  	-DPYTHON_INCLUDE_DIR=/usr/include/python3.6 ..
+  cmake -DENABLE_PYTHON=ON -DPYTHON_EXECUTABLE=`which python3.7` \
+  	-DPYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython3.7m.so \
+  	-DPYTHON_INCLUDE_DIR=/usr/include/python3.7 ..
   make -j16
 ```
 
@@ -65,7 +65,7 @@ sudo apt install patchelf
 ## Running sample
 
 Before running the Python samples:
-- add the folder with built `openvino` Python module (located at `bin/intel64/Release/lib/python_api/python3.6` for Linux) to the PYTHONPATH environment variable.
+- add the folder with built `openvino` Python module (located at `bin/intel64/Release/lib/python_api/python3.7` for Linux) to the PYTHONPATH environment variable.
 - add the folder with Inference Engine libraries to LD_LIBRARY_PATH variable on Linux (or PATH on Windows).
 
 Example of command line to run classification sample:

src/bindings/python/src/compatibility/openvino/setup.cfg

@@ -21,4 +21,4 @@ disable_error_code = attr-defined
 show_column_numbers = True
 show_error_context = True
 show_absolute_path = True
-pretty = True
+pretty = True

src/bindings/python/src/openvino/helpers/packing.py

@@ -41,11 +41,11 @@ def pack_data(array: np.ndarray, type: Type) -> np.ndarray:
     pad = (-data_size) % num_values_fitting_into_uint8
 
     flattened = casted_to_regular_type.flatten()
-    padded = np.concatenate((flattened, np.zeros([pad], dtype=minimum_regular_dtype)))
+    padded = np.concatenate((flattened, np.zeros([pad], dtype=minimum_regular_dtype)))  # type: ignore
     assert padded.size % num_values_fitting_into_uint8 == 0
 
     bit_order_little = (padded[:, None] & (1 << np.arange(num_bits)) > 0).astype(minimum_regular_dtype)
-    bit_order_big = np.flip(bit_order_little, axis=1)
+    bit_order_big = np.flip(bit_order_little, axis=1)  # type: ignore
     bit_order_big_flattened = bit_order_big.flatten()
 
     return np.packbits(bit_order_big_flattened)
@@ -74,7 +74,7 @@ def unpack_data(array: np.ndarray, type: Type, shape: Union[list, Shape]) -> np.
     else:
         unpacked = unpacked.reshape(-1, type.bitwidth)
         padding_shape = (unpacked.shape[0], 8 - type.bitwidth)
-        padding = np.ndarray(padding_shape, np.uint8)
+        padding = np.ndarray(padding_shape, np.uint8)  # type: np.ndarray
         if type == Type.i4:
             for axis, bits in enumerate(unpacked):
                 if bits[0] == 1:
@@ -83,7 +83,7 @@ def unpack_data(array: np.ndarray, type: Type, shape: Union[list, Shape]) -> np.
                     padding[axis] = np.zeros((padding_shape[1],), np.uint8)
         else:
             padding = np.zeros(padding_shape, np.uint8)
-        padded = np.concatenate((padding, unpacked), 1)
+        padded = np.concatenate((padding, unpacked), 1)  # type: ignore
         packed = np.packbits(padded, 1)
         if type == Type.i4:
             return np.resize(packed, shape).astype(dtype=np.int8)

src/bindings/python/src/openvino/runtime/ie_api.py

@@ -15,13 +15,11 @@ from openvino.pyopenvino import InferRequest as InferRequestBase
 from openvino.pyopenvino import AsyncInferQueue as AsyncInferQueueBase
 from openvino.pyopenvino import ConstOutput
 from openvino.pyopenvino import Tensor
-from openvino.pyopenvino import Type
-from openvino.pyopenvino import Shape
 
 
 def tensor_from_file(path: str) -> Tensor:
     """Create Tensor from file. Data will be read with dtype of unit8."""
-    return Tensor(np.fromfile(path, dtype=np.uint8))
+    return Tensor(np.fromfile(path, dtype=np.uint8))  # type: ignore
 
 
 def set_scalar_tensor(request: InferRequestBase, tensor: Tensor, key: Union[str, int, ConstOutput] = None) -> None:

src/bindings/python/tests/test_frontend/test_frontend_onnx_editor.py

@@ -411,7 +411,7 @@ def compare_models(current, expected):  # noqa: C901 the function is too complex
                 msg += f"expected: {expected_ops[i].get_output_element_type(idx)}. "
 
     if not result:
-        print(msg)
+        print(msg)  # noqa: T201
 
     return result
 

src/bindings/python/tests/test_frontend/test_frontendmanager.py

@@ -55,7 +55,7 @@ def test_load_by_unknown_framework():
     try:
         fem.load_by_framework("UnknownFramework")
     except InitializationFailure as exc:
-        print(exc)
+        print(exc)  # noqa: T201
     else:
         raise AssertionError("Unexpected exception.")
 

src/bindings/python/tests/test_onnx/utils/__init__.py

@@ -82,4 +82,4 @@ def all_arrays_equal(first_list, second_list):
     :param second_list: another iterable containing numpy ndarray objects
     :return: True if all ndarrays are equal, otherwise False
     """
-    return all(map(lambda pair: np.array_equal(*pair), zip(first_list, second_list)))
+    return all(map(lambda pair: np.array_equal(*pair), zip(first_list, second_list)))  # noqa: C417

src/bindings/python/tests/test_utils/test_utils.py

@@ -29,7 +29,7 @@ def test_compare_models():
         status, _ = compare_models(model, model)
         assert status
     except RuntimeError:
-        print("openvino.test_utils.compare_models is not available")
+        print("openvino.test_utils.compare_models is not available")  # noqa: T201
 
 
 def generate_image(shape: Tuple = (1, 3, 32, 32), dtype: Union[str, np.dtype] = "float32") -> np.array:

src/bindings/python/wheel/setup.py

@@ -358,7 +358,7 @@ def remove_rpath(file_path):
 
 def set_rpath(rpath, executable):
     """Setting rpath for linux and macOS libraries."""
-    print(f"Setting rpath {rpath} for {executable}")  # noqa: T001
+    print(f"Setting rpath {rpath} for {executable}")  # noqa: T001, T201
     cmd = []
     rpath_tool = ""