1 files changed, 53 insertions, 0 deletions
diff --git a/model-optimizer/extensions/ops/TensorArrayRead.py b/model-optimizer/extensions/ops/TensorArrayRead.py
new file mode 100644
index 000000000..2b35159ad
--- /dev/null
+++ b/model-optimizer/extensions/ops/TensorArrayRead.py
@@ -0,0 +1,53 @@
+"""
+ Copyright (c) 2018 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 networkx as nx
+import numpy as np
+
+from mo.graph.graph import Node
+from mo.ops.op import Op
+
+
+class TensorArrayReader(Op):
+    op = "TensorArrayReadV3"
+
+    def __init__(self, graph: nx.MultiDiGraph, attrs: dict):
+        mandatory_props = {
+            'type': __class__.op,
+            'op': __class__.op,
+            'infer': TensorArrayReader.array_infer,
+        }
+        super().__init__(graph, mandatory_props, attrs)
+
+    @staticmethod
+    def array_infer(node: Node):
+        assert len(node.in_nodes()) == 3
+
+        handle = node.in_node(0)
+        index = node.in_node(1)
+        flow_in = node.in_node(2)
+
+        ta_node = Node(node.graph, str(handle.value))
+        assert ta_node.has_valid('element_shape')
+
+        data_shape = ta_node['element_shape']
+
+        output_shape = data_shape
+        output_value = None
+
+        for _, out_node in node.graph.out_edges(node.id):
+            node.graph.node[out_node]['shape'] = np.array(output_shape)
+            node.graph.node[out_node]['value'] = None if output_value is None else np.array(output_value)