[TF FE] Refactor Shape translator and add layer test (#15551)

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

tests/layer_tests/tensorflow_tests/test_tf_Shape.py

@@ -0,0 +1,53 @@
+# 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 TestShape(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 'input' in inputs_info
+        input_shape = inputs_info['input']
+        inputs_data = {}
+        inputs_data['input'] = np.random.randint(-10, 10, input_shape).astype(self.input_type)
+
+        return inputs_data
+
+    def create_shape_net(self, input_shape, input_type, out_type):
+        self.input_type = input_type
+        types_map = {
+            np.float32: tf.float32,
+            np.int32: tf.int32
+        }
+        assert input_type in types_map, "Incorrect test case"
+        tf_type = types_map[input_type]
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            input = tf.compat.v1.placeholder(tf_type, input_shape, 'input')
+            if out_type is not None:
+                tf.raw_ops.Shape(input=input, out_type=out_type)
+            else:
+                tf.raw_ops.Shape(input=input)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(input_shape=[2, 3], input_type=np.float32, out_type=tf.int32),
+        dict(input_shape=[3, 4, 5], input_type=np.int32, out_type=tf.int64),
+        dict(input_shape=[1], input_type=np.int32, out_type=None),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_shape_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                         use_new_frontend, use_old_api):
+        self._test(*self.create_shape_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)