37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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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 TensorArraySize(Op):
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op = "TensorArraySizeV3"
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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': TensorArraySize.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()) == 2
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handle = node.in_node(0)
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flow_in = node.in_node(1)
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ta_node = Node(node.graph, str(handle.value))
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assert ta_node.has_valid('size')
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output_value = np.array(ta_node['size'])
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output_shape = output_value.shape
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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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