[TF FE] Refactor Tile and add layer test (#15584)

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

src/frontends/tensorflow_common/src/op/tile.cpp

@@ -14,12 +14,13 @@ namespace tensorflow {
 namespace op {
 
 OutputVector translate_tile_op(const NodeContext& node) {
-    auto data = node.get_input(0);
-    auto repeats = node.get_input(1);
+    default_op_checks(node, 2, {"Tile", "TILE"});
+    auto input = node.get_input(0);
+    auto multiples = node.get_input(1);
 
-    auto res = make_shared<Tile>(data, repeats);
-    set_node_name(node.get_name(), res);
-    return res->outputs();
+    auto tile = make_shared<Tile>(input, multiples);
+    set_node_name(node.get_name(), tile);
+    return {tile};
 }
 
 }  // namespace op

tests/layer_tests/tensorflow_tests/test_tf_Tile.py

@@ -0,0 +1,46 @@
+# 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 TestTile(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 'input' in inputs_info
+        assert 'multiples' in inputs_info
+        input_shape = inputs_info['input']
+        multiples_shape = inputs_info['multiples']
+        inputs_data = {}
+        inputs_data['input'] = np.random.randint(-50, 50, input_shape).astype(np.float32)
+        inputs_data['multiples'] = np.random.randint(1, 4, multiples_shape).astype(np.int32)
+
+        return inputs_data
+
+    def create_tile_net(self, input_shape):
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            input = tf.compat.v1.placeholder(tf.float32, input_shape, 'input')
+            multiples = tf.compat.v1.placeholder(tf.int32, [len(input_shape)], 'multiples')
+            tf.raw_ops.Tile(input=input, multiples=multiples)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(input_shape=[2, 4]),
+        dict(input_shape=[3, 1, 2]),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_tile_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                        use_new_frontend, use_old_api):
+        self._test(*self.create_tile_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)