[TF FE] Refactor Reciprocal translator and add layer test (#15652)

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

src/frontends/tensorflow_common/src/op/reciprocal.cpp

@@ -14,11 +14,13 @@ namespace tensorflow {
 namespace op {
 
 OutputVector translate_reciprocal_op(const NodeContext& node) {
+    // computes element-wise 1/x, where x - input
+    default_op_checks(node, 1, {"Reciprocal"});
     auto x = node.get_input(0);
-    auto ng_exponent = make_shared<Constant>(x.get_element_type(), Shape{}, -1);
-    auto res = make_shared<Power>(x, ng_exponent);
-    set_node_name(node.get_name(), res);
-    return res->outputs();
+    auto minus_one_const = make_shared<Constant>(x.get_element_type(), Shape{}, -1);
+    auto reciprocal = make_shared<Power>(x, minus_one_const);
+    set_node_name(node.get_name(), reciprocal);
+    return {reciprocal};
 }
 }  // namespace op
 }  // namespace tensorflow

tests/layer_tests/tensorflow_tests/test_tf_Reciprocal.py

@@ -0,0 +1,43 @@
+# 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 TestReciprocal(CommonTFLayerTest):
+    def _prepare_input(self, inputs_info):
+        assert 'x' in inputs_info
+        x_shape = inputs_info['x']
+        inputs_data = {}
+        inputs_data['x'] = np.random.randint(1, 30, x_shape).astype(np.float32)
+
+        return inputs_data
+
+    def create_reciprocal_net(self, x_shape, x_type):
+        tf.compat.v1.reset_default_graph()
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            x = tf.compat.v1.placeholder(tf.float32, x_shape, 'x')
+            tf.raw_ops.Reciprocal(x=x)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(x_shape=[], x_type=np.float32),
+        dict(x_shape=[2, 3], x_type=np.float32),
+        dict(x_shape=[4, 1, 3], x_type=np.float32),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_reciprocal_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                              use_new_frontend, use_old_api):
+        self._test(*self.create_reciprocal_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)