53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import numpy as np
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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class TensorArrayReader(Op):
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op = "TensorArrayReadV3"
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def __init__(self, graph: Graph, attrs: dict):
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mandatory_props = {
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'type': None,
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'op': __class__.op,
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'infer': TensorArrayReader.array_infer,
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}
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super().__init__(graph, mandatory_props, attrs)
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@staticmethod
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def array_infer(node: Node):
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assert len(node.in_nodes()) == 3
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handle = node.in_node(0)
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index = node.in_node(1)
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flow_in = node.in_node(2)
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ta_node = Node(node.graph, str(handle.value))
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assert ta_node.has_valid('element_shape')
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data_shape = ta_node['element_shape']
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output_shape = data_shape
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output_value = None
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for _, out_node in node.graph.out_edges(node.id):
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node.graph.node[out_node]['shape'] = np.array(output_shape)
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node.graph.node[out_node]['value'] = None if output_value is None else np.array(output_value)
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