Moved Post-training Optimization Tool to open-source (#7940)

* Moved POT to opensource

* Added OMZ as a submodule

* Exclude OMZ from ShellCheck

tools/pot/tests/test_outlier_channel_splitting.py

@@ -0,0 +1,31 @@
+# Copyright (C) 2020-2021 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+from addict import Dict
+
+import pytest
+
+from openvino.tools.pot import OutlierChannelSplitting
+from openvino.tools.pot.graph import load_model
+from tests.utils.check_graph import check_model
+
+TEST_WEIGHTS_EXPANSION_RATIO = [0.1, 0.5]
+TEST_MODEL_NAME = 'outlier_channel_splitting_example'
+TEST_MODEL_FRAMEWORK = 'onnx'
+
+
+@pytest.mark.parametrize('weights_expansion_ratio', TEST_WEIGHTS_EXPANSION_RATIO,
+                         ids=['weights_expansion_ratio_{}'.format(ratio) for ratio in TEST_WEIGHTS_EXPANSION_RATIO])
+def test_outlier_channel_splitting_algo(models, tmp_path, weights_expansion_ratio):
+    algorithm_config = Dict({
+        'weights_expansion_ratio': weights_expansion_ratio,
+    })
+
+    model = models.get(TEST_MODEL_NAME, TEST_MODEL_FRAMEWORK, tmp_path)
+    model = load_model(model.model_params)
+
+    algorithm = OutlierChannelSplitting(algorithm_config, None)
+    algorithm.run(model)
+
+    check_model(tmp_path, model, TEST_MODEL_NAME + '_{}'.format(weights_expansion_ratio),
+                TEST_MODEL_FRAMEWORK, check_weights=True)