54 lines
1.7 KiB
Python
54 lines
1.7 KiB
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, PermuteAttrs
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class LogSoftmax(Op):
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op = 'LogSoftmax'
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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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'type': self.op,
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'op': self.op,
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'version': 'opset5',
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'infer': self.infer,
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'axis': 1,
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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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def supported_attrs(self):
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return ['axis']
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@staticmethod
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def infer(node: Node):
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assert len([port for port in node.in_ports().values() if not port.disconnected()]) == 1,\
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'LogSoftmax node with id {} have more than one port connected'.format(node.id)
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if node.axis < 0:
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node.axis = len(node.in_port(0).data.get_shape()) + node.axis
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assert 0 <= node.axis < len(node.in_port(0).data.get_shape()),\
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'LogSoftmax node with id {} has wrong axis attribute'.format(node.id)
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copy_shape_infer(node)
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PermuteAttrs.create_permute_attrs(node, attrs=[('axis', 'input:0')])
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class LogSoftmaxONNX(Op):
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op = 'LogSoftmaxONNX'
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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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'infer': None,
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'kind': 'op',
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'axis': 1,
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'type': None, # the operation will be replaced with a
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# Reshape(LogSoftmax(FlattenONNX(x, axis), 1), x.shape) sub-graph
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'op': self.op,
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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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