[CI] [GHA] Introduce macOS ARM64 as a matrix parameter in the macOS pipeline (#20363)

* add m1 mac pipelines as a matrix parameter

* Update mac.yml

disable java_api because of macos arm64 - Java is not available on macOS arm64 runners

* Update mac.yml

added always condition for all tests

* Update mac.yml

* Update mac.yml

* Update mac.yml

* Update setup.py

temp commit

* Update tools/openvino_dev/setup.py

* use matrix for var

* add mxnet to extras only for x86_64

* skip failing tests

* use xfail for Python tests; add missing filter for transformations tests

* skip CPU func tests on x86_64 mac; skip some tests from CPU func tests on arm mac

* Update mac.yml

* skip tests on mac arm

* skip tests on darwin; apply review

* add more skips for python and c++ tests

* skip tf tests

* skip more tf tests; skip more Python UT stages

* rm alwayses, rm triggers, add nightly trigger

---------

Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>

src/bindings/python/tests_compatibility/test_onnx/test_onnx_external_data.py

@@ -1,15 +1,19 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import platform
 import os
 
 import numpy as np
 import ngraph as ng
+import pytest
 from openvino.inference_engine import IECore
 
 from tests_compatibility.runtime import get_runtime
 
 
+@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
+                   reason='Ticket - 122712')
 def test_import_onnx_with_external_data():
     model_path = os.path.join(os.path.dirname(__file__), "models/external_data.onnx")
     ie = IECore()

src/bindings/python/tests_compatibility/test_onnx/test_ops_nonlinear.py

@@ -1,6 +1,8 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import platform
+
 import numpy as np
 import onnx
 import pytest
@@ -45,6 +47,8 @@ def test_relu():
     assert_onnx_import_equals_callable("Relu", relu, [[-3, -2, -1], [1, 2, 3]])
 
 
+@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
+                   reason='Ticket - 122712')
 def test_leaky_relu():
     def leaky_relu(x, alpha=0.01):
         return np.maximum(alpha * x, x)
@@ -79,6 +83,8 @@ def test_parametric_relu(x, slope):
     assert np.allclose(output, expected_output)
 
 
+@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
+                   reason='Ticket - 122712')
 def test_selu():
     # f(x) = gamma * (alpha * exp(x) - alpha) for x <= 0, y = gamma * x for x > 0
     def selu(x, alpha=1.67326319217681884765625, gamma=1.05070102214813232421875):

src/bindings/python/tests_compatibility/test_onnx/test_ops_unary.py

@@ -1,6 +1,8 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
+import platform
+
 import numpy as np
 import onnx
 import onnx.mapping
@@ -210,6 +212,8 @@ def test_hardmax_special_cases():
     assert np.allclose(ng_results, [expected])
 
 
+@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
+                   reason='Ticket - 122712')
 def test_hardsigmoid():
     def hardsigmoid(data, alpha=0.2, beta=0.5):
         return np.clip(alpha * data + beta, 0, 1)
@@ -447,6 +451,8 @@ def test_cast_errors():
 @pytest.mark.parametrize("value_type",
                          [pytest.param(np.float64),
                           pytest.param(np.float32)])
+@pytest.mark.xfail(condition=platform.system() == 'Darwin' and platform.machine() == 'arm64',
+                   reason='Ticket - 122712')
 def test_constant(value_type):
     values = np.random.randn(5, 5).astype(value_type)
     node = onnx.helper.make_node(