2 Copyright (c) 2018-2019 Intel Corporation
4 Licensed under the Apache License, Version 2.0 (the "License");
5 you may not use this file except in compliance with the License.
6 You may obtain a copy of the License at
8 http://www.apache.org/licenses/LICENSE-2.0
10 Unless required by applicable law or agreed to in writing, software
11 distributed under the License is distributed on an "AS IS" BASIS,
12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 See the License for the specific language governing permissions and
14 limitations under the License.
19 from mo.graph.graph import Node, Graph
20 from mo.ops.op import Op
21 from mo.utils.utils import match_shapes
24 class TensorArrayWriter(Op):
25 op = "TensorArrayWriteV3"
27 def __init__(self, graph: Graph, attrs: dict):
31 'infer': TensorArrayWriter.array_infer,
33 super().__init__(graph, mandatory_props, attrs)
36 def array_infer(node: Node):
37 assert len(node.in_nodes()) == 4
39 handle = node.in_node(0)
40 index = node.in_node(1)
41 value = node.in_node(2)
42 flow_in = node.in_node(3)
44 value_shape = value.shape
46 ta_node = Node(node.graph, str(handle.value))
47 if ta_node.has_valid('element_shape') and len(ta_node.element_shape) > 0:
48 assert match_shapes(ta_node['element_shape'], value.shape), \
49 'Shapes are not compatible: {} and {}'.format(ta_node['element_shape'], value.shape)
50 ta_node['element_shape'] = value_shape
52 output_shape = flow_in.shape
53 output_value = flow_in.value
56 for _, out_node in node.graph.out_edges(node.id):
57 node.graph.node[out_node]['shape'] = np.array(output_shape)
58 node.graph.node[out_node]['value'] = None if output_value is None else np.array(output_value)