Add CTCLoss op to nGraph Python API (#1642)

ngraph/python/tests/test_ngraph/test_ctc_loss.py

@@ -0,0 +1,39 @@
+# ******************************************************************************
+# Copyright 2017-2020 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ******************************************************************************
+import numpy as np
+
+import ngraph as ng
+from ngraph.impl import Type
+
+
+def test_ctc_loss_props():
+    ind_dtype = np.int32
+    float_dtype = np.float32
+    logits = ng.parameter([2, 100, 80], dtype=float_dtype, name="logits")
+    logit_length = ng.parameter([2], dtype=ind_dtype, name="logit_length")
+    labels = ng.parameter([2, 100], dtype=ind_dtype, name="labels")
+    label_length = ng.parameter([2], dtype=ind_dtype, name="label_length")
+    blank_index = ng.parameter([], dtype=ind_dtype, name="blank_index")
+    preprocess_collapse_repeated = False
+    ctc_merge_repeated = True
+    unique = False
+
+    node = ng.ctc_loss(logits, logit_length, labels, label_length, blank_index,
+                       preprocess_collapse_repeated, ctc_merge_repeated, unique)
+    assert node.get_type_name() == "CTCLoss"
+    assert node.get_output_size() == 1
+    assert list(node.get_output_shape(0)) == [2]
+    assert node.get_output_element_type(0) == Type.f32