[TF FE] Refactor Log1p translator and add layer test (#15649)

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

tests/layer_tests/tensorflow_tests/test_tf_Log1p.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 TestLog1p(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(-0.9, 5, x_shape).astype(np.float32)
+
+        return inputs_data
+
+    def create_log1p_net(self, x_shape):
+        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.Log1p(x=x)
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        return tf_net, None
+
+    test_data_basic = [
+        dict(x_shape=[]),
+        dict(x_shape=[3]),
+        dict(x_shape=[2, 1, 4]),
+    ]
+
+    @pytest.mark.parametrize("params", test_data_basic)
+    @pytest.mark.precommit_tf_fe
+    @pytest.mark.nightly
+    def test_log1p_basic(self, params, ie_device, precision, ir_version, temp_dir,
+                         use_new_frontend, use_old_api):
+        self._test(*self.create_log1p_net(**params),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)