[TFLite] Custom attribute reading and While operation support (#17932)

* Custom attribute reading and While operation support

* Rearanges FLATBUFFERS_LOCALE_INDEPENDENT setting

* Style

* Make flatbuffers code as version independent as possible

* Comments addressed

tests/layer_tests/tensorflow_lite_tests/test_tfl_While.py

@@ -0,0 +1,30 @@
+# Copyright (C) 2018-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import numpy as np
+import pytest
+import tensorflow as tf
+
+from common.tflite_layer_test_class import TFLiteLayerTest
+
+
+class TestTFLiteWhileLayerTest(TFLiteLayerTest):
+    inputs = ["Input"]
+    outputs = ["While"]
+    allowed_ops = ["ADD", "LESS", "RESHAPE", "WHILE"]
+
+    def make_model(self, params):
+        tf.compat.v1.reset_default_graph()
+        with tf.compat.v1.Session() as sess:
+            i = tf.compat.v1.placeholder(dtype=tf.float32, shape=[1], name=self.inputs[0])
+            c = lambda i: tf.less(i, [10])
+            b = lambda i: (tf.add(i, [1]), )
+            tf.while_loop(c, b, [i], name=self.outputs[0])
+            net = sess.graph_def
+        return net
+
+    @pytest.mark.parametrize("params", [dict()])
+    @pytest.mark.nightly
+    def test_while(self, params, ie_device, precision, temp_dir):
+        pytest.xfail("CVS-112884")
+        self._test(ie_device, precision, temp_dir, params)