[TF FE] Support StringHashBucketFast operation (#23946)

**Details:** Support StringHashBucketFast operation. Needed for several
models from TF Hub. Merge after
openvinotoolkit/openvino_tokenizers#115

**Ticket:**

---------

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

src/frontends/tensorflow/docs/supported_ops.md

@@ -1227,7 +1227,7 @@ A "supported operation" is one that TensorFlow Frontend can convert to the OpenV
 | StringSplitV2<sup><mark style="background-color: #00FF00">NEW</mark></sup> | YES                           | openvino-tokenizers required  |
 | StringStrip                                             | NO                            |                               |
 | StringToHashBucket                                      | NO                            |                               |
-| StringToHashBucketFast                                  | NO                            |                               |
+| StringToHashBucketFast                                  | YES                           | openvino-tokenizers required  |
 | StringToHashBucketStrong                                | NO                            |                               |
 | StringToNumber                                          | NO                            |                               |
 | StringUpper                                             | NO                            |                               |

src/frontends/tensorflow/src/op_table.cpp

@@ -461,7 +461,12 @@ const std::map<std::string, CreatorFunction> get_supported_ops() {
 };
 
 const std::vector<std::string> get_supported_ops_via_tokenizers() {
-    return {"RaggedTensorToSparse", "RaggedTensorToTensor", "StaticRegexReplace", "StringLower", "StringSplitV2"};
+    return {"RaggedTensorToSparse",
+            "RaggedTensorToTensor",
+            "StaticRegexReplace",
+            "StringLower",
+            "StringSplitV2",
+            "StringToHashBucketFast"};
 }
 }  // namespace op
 }  // namespace tensorflow

tests/layer_tests/tensorflow_tests/test_tf_StringToHashBucketFast.py

@@ -0,0 +1,60 @@
+# Copyright (C) 2018-2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import platform
+
+import numpy as np
+import pytest
+import tensorflow as tf
+from common.tf_layer_test_class import CommonTFLayerTest
+from common.utils.tf_utils import run_in_jenkins
+
+rng = np.random.default_rng()
+
+
+class TestStringToHashBucketFast(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 'input:0' in inputs_info
+        input_shape = inputs_info['input:0']
+        inputs_data = {}
+        sample_data = rng.choice(self.strings_dictionary, input_shape)
+        inputs_data['input:0'] = sample_data
+        return inputs_data
+
+    def create_string_to_hash_bucket_fast_net(self, input_shape, strings_dictionary, num_buckets):
+        self.strings_dictionary = strings_dictionary
+
+        tf.compat.v1.reset_default_graph()
+        with tf.compat.v1.Session() as sess:
+            input = tf.compat.v1.placeholder(tf.string, input_shape, 'input')
+            tf.raw_ops.StringToHashBucketFast(input=input, num_buckets=num_buckets)
+
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        ref_net = None
+
+        return tf_net, ref_net
+
+    @pytest.mark.parametrize("input_shape", [[], [2], [3, 4], [1, 3, 2]])
+    @pytest.mark.parametrize("num_buckets", [1, 4, 7, 11])
+    @pytest.mark.parametrize("strings_dictionary",
+                             [['UPPER CASE SENTENCE', 'lower case sentence', ' UppEr LoweR CAse SENtence', ' '],
+                              ['Первое Предложение', 'второе    предложение', ' ', ' ТРЕТЬЕ ПРЕДЛОЖЕНИЕ '],
+                              ['第一句話在這裡', '第二句話在這裡', '第三句話在這裡'],
+                              ['', '  ', '12345 ']])
+    @pytest.mark.precommit
+    @pytest.mark.nightly
+    @pytest.mark.xfail(condition=platform.system() in ('Darwin', 'Linux') and platform.machine() in ['arm', 'armv7l',
+                                                                                                     'aarch64',
+                                                                                                     'arm64', 'ARM64'],
+                       reason='Ticket - 126314, 132699')
+    def test_string_to_hash_bucket_fast(self, input_shape, num_buckets, strings_dictionary, ie_device, precision,
+                                        ir_version, temp_dir,
+                                        use_legacy_frontend):
+        if ie_device == 'GPU' or run_in_jenkins():
+            pytest.skip("operation extension is not supported on GPU")
+        self._test(*self.create_string_to_hash_bucket_fast_net(input_shape=input_shape, num_buckets=num_buckets,
+                                                               strings_dictionary=strings_dictionary),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_legacy_frontend=use_legacy_frontend)