49 lines
1.5 KiB
Python
49 lines
1.5 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 TensorArray(Op):
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op = "TensorArrayV3"
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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': TensorArray.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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size = node.in_node(0)
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assert size.value is not None
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# 0 port: handle
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if 0 in node.out_nodes().keys():
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if node.has_valid('element_shape'):
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element_shape = node['element_shape']
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else:
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element_shape = None
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out_node = node.out_node(0).id
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output_value = node.out_node(0).id
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node.graph.node[out_node]['value'] = np.array(output_value)
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output_shape = node.graph.node[out_node]['value'].shape
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node.graph.node[out_node]['shape'] = np.array(output_shape)
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node.graph.node[out_node]['element_shape'] = np.array(element_shape)
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node.graph.node[out_node]['size'] = size.value
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# 1 port flow
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if 1 in node.out_nodes().keys():
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output_value = None
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out_node = node.out_node(1).id
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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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node.graph.node[out_node]['shape'] = np.array(output_shape)
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