Adopt TF2 Keras layer tests to TF 2.17

Signed-off-by: Kazantsev, Roman <roman.kazantsev@intel.com>

tests/layer_tests/common/tf2_layer_test_class.py

@@ -10,7 +10,8 @@
 def save_to_tf2_savedmodel(tf2_model, path_to_saved_tf2_model):
     import tensorflow as tf
     assert int(tf.__version__.split('.')[0]) >= 2, "TensorFlow 2 must be used for this suite validation"
-    tf.keras.models.save_model(tf2_model, path_to_saved_tf2_model, save_format='tf')
+    # Since TF 2.16 this is only way to serialize Keras objects into SavedModel format
+    tf2_model.export(path_to_saved_tf2_model)
     assert os.path.isdir(path_to_saved_tf2_model), "the model haven't been saved " \
                                                    "here: {}".format(path_to_saved_tf2_model)
     return path_to_saved_tf2_model

tests/layer_tests/tensorflow_tests/test_tf_Bucketize.py

@@ -3,7 +3,6 @@
 
 import numpy as np
 import platform
-import platform
 import pytest
 import tensorflow as tf
 from common.tf_layer_test_class import CommonTFLayerTest

tests/layer_tests/tensorflow_tests/test_tf_Round.py

@@ -2,6 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 import numpy as np
+import platform
 import pytest
 import tensorflow as tf
 from common.tf_layer_test_class import CommonTFLayerTest
@@ -40,6 +41,9 @@ def test_round_basic(self, input_shape, input_type, ie_device, precision,
                          ir_version, temp_dir, use_legacy_frontend):
         if input_type in [np.int8, np.int16, np.int32, np.int64]:
             pytest.skip('TensorFlow issue: https://github.com/tensorflow/tensorflow/issues/74789')
+        if platform.machine() in ["aarch64", "arm64", "ARM64"] and \
+                input_type == np.float32 and input_shape == [10, 5, 1, 5]:
+            pytest.skip("150999: Accuracy issue on CPU")
         self._test(*self.create_tf_round_net(input_shape, input_type),
                    ie_device, precision, ir_version, temp_dir=temp_dir,
                    use_legacy_frontend=use_legacy_frontend)