[TF FE][TF Hub] Support AdjustContrastv2 operation (#19029)

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

tests/layer_tests/tensorflow_tests/test_tf_AdjustContrastv2.py

@@ -0,0 +1,45 @@
+# Copyright (C) 2018-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import numpy as np
+import pytest
+import tensorflow as tf
+from common.tf_layer_test_class import CommonTFLayerTest
+
+
+class TestAdjustContrastv2(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 'images' in inputs_info
+        images_shape = inputs_info['images']
+        inputs_data = {}
+        inputs_data['images'] = np.random.rand(*images_shape).astype(self.input_type)
+        inputs_data['contrast_factor'] = np.random.rand()
+        return inputs_data
+
+    def create_adjust_contrast_net(self, input_shape, input_type):
+        self.input_type = input_type
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            images = tf.compat.v1.placeholder(input_type, input_shape, 'images')
+            contrast_factor = tf.compat.v1.placeholder(input_type, [], 'contrast_factor')
+            tf.raw_ops.AdjustContrastv2(images=images, contrast_factor=contrast_factor)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(input_shape=[10, 20, 3], input_type=np.float32),
+        dict(input_shape=[5, 25, 15, 2], input_type=np.float32),
+        dict(input_shape=[3, 4, 8, 10, 4], input_type=np.float32),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_adjust_contrast_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                                   use_new_frontend, use_old_api):
+        self._test(*self.create_adjust_contrast_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)