[TF FE] Added Tensorflow CTCLoss layer test (#13644)

Co-authored-by: Roman Kazantsev <roman.kazantsev@intel.com>

src/frontends/tensorflow_common/src/op/ctc_loss.cpp

@@ -47,9 +47,9 @@ OutputVector translate_ctc_loss_op(const NodeContext& node) {
 
     auto logits_shape = make_shared<ShapeOf>(logits, ov::element::i64);
     auto dense_shape = make_shared<Slice>(logits_shape,
-                                          make_shared<Constant>(ov::element::i64, ov::Shape{}, 0),
+                                          make_shared<Constant>(ov::element::i64, ov::Shape{1}, 0),
-                                          make_shared<Constant>(ov::element::i64, ov::Shape{}, 2),
+                                          make_shared<Constant>(ov::element::i64, ov::Shape{1}, 2),
-                                          make_shared<Constant>(ov::element::i64, ov::Shape{}, 1));
+                                          make_shared<Constant>(ov::element::i64, ov::Shape{1}, 1));
     auto minus_one_value = make_shared<Constant>(decoded_values.get_element_type(), ov::Shape{}, -1);
     auto init_decoded_values = make_shared<Broadcast>(minus_one_value, dense_shape);
     auto decoded_values_dense = make_shared<ScatterNDUpdate>(init_decoded_values, decoded_indices, decoded_values);

tests/layer_tests/tensorflow_tests/test_tf_CTCLoss.py

@@ -0,0 +1,65 @@
+# Copyright (C) 2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+
+from common.tf_layer_test_class import CommonTFLayerTest
+
+import numpy as np
+import tensorflow as tf
+
+# Testing operation CTCLoss
+# Documentation: https://www.tensorflow.org/api_docs/python/tf/raw_ops/CTCLoss
+
+class TestCTCLoss(CommonTFLayerTest):
+    def _prepare_input(self, inputs_dict):
+        for input in inputs_dict.keys():
+            inputs_dict[input] = np.random.randint(0, 5, inputs_dict[input]).astype(np.float32)
+        return inputs_dict
+
+    def create_ctcloss_placeholder_const_net(self, inputs, targets, ir_version, use_new_frontend):
+        """
+            Tensorflow net                  IR net
+
+            Placeholder->CTCLoss    =>      Placeholder->Transpose->Convolution->Transpose #Need to replace by actual
+
+        """
+        seq_lens = np.array([inputs[2]], dtype=np.int32)
+        x = [targets]
+
+        indices = []
+        vals = []
+        for idx, batch in enumerate(x):
+            for time, value in enumerate(batch):
+                indices.append([idx, time])
+                vals.append(value)
+
+        tf.compat.v1.reset_default_graph()
+
+        # Create the graph and model
+        with tf.compat.v1.Session() as sess:
+            tf_inputs = tf.compat.v1.placeholder(tf.float32, inputs, "inputs")
+
+            tf.raw_ops.CTCLoss(inputs = tf_inputs, labels_indices = indices, labels_values = vals, sequence_length = seq_lens)
+
+            tf.compat.v1.global_variables_initializer()
+            tf_net = sess.graph_def
+
+        ref_net = None
+
+        return tf_net, ref_net
+
+    # Reference values were copied from https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/kernel_tests/nn_ops/ctc_loss_op_test.py
+    test_data = [
+        dict(inputs=[6,1,6], targets = [0, 1, 2, 1, 0]),
+        dict(inputs=[12,1,9], targets = [0, 1, 1, 0])
+    ]
+
+    @pytest.mark.parametrize("params", test_data)
+    @pytest.mark.nightly
+    def test_ctcloss_placeholder_const(self, params, ie_device, precision, ir_version, temp_dir,
+                                      use_new_frontend, use_old_api):
+        self._test(*self.create_ctcloss_placeholder_const_net(**params, ir_version=ir_version,
+                                                             use_new_frontend=use_new_frontend),
+                   ie_device, precision, ir_version, temp_dir=temp_dir,
+                   use_new_frontend=use_new_frontend, use_old_api=use_old_api)