ffa467a5ad
* fix batch adding to init value of read value * fix for batch in Kaldi models * added broadcast to be able reshape in IE * test fixes, added batch broadcasting to created constants * pep fixes * move all changes to 1 transformation * added unit test and fix insertSelect transformation * added comments * remove unneeded params search * fix element_size to send correct batch * fix update batch in element_size * couple fixes * update BOM file * fix review comments * review fixes * review fixes * fix license headers
33 lines
990 B
Python
33 lines
990 B
Python
# Copyright (C) 2018-2021 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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from mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Graph, Node
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from mo.ops.op import Op
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class MemoryOffset(Op):
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op = 'MemoryOffset'
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enabled = False
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def __init__(self, graph: Graph, attrs: dict):
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super().__init__(graph, {
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'op': 'MemoryOffset',
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'type': None,
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'pair_name': None,
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'splitted': False,
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'has_default': False,
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'infer': self.infer,
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'in_ports_count': 1,
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'out_ports_count': 1,
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}, attrs)
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@staticmethod
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def infer(node: Node):
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if node.has_valid('element_size'):
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# element_size should be set by Kaldi loader or MemoryOffsetAdjustment or SplitRecurrentMemoryOffset
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node.out_port(0).data.set_shape(node.element_size)
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else:
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# for TDNN blocks
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copy_shape_infer(node)
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