32 lines
1.5 KiB
Python
32 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 logging as log
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.const import Const
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from mo.utils.error import Error
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class SqueezeNormalize(FrontReplacementPattern):
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"""
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Normalizes inputs of the Squeeze layers. The layers should have two inputs: the input with data and input with the
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dimensions to squeeze. If the second input is omitted then all dimensions of size 1 should be removed.
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"""
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enabled = True
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def find_and_replace_pattern(self, graph: Graph):
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for squeeze_node in graph.get_op_nodes(op='Squeeze'):
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if len(squeeze_node.in_nodes()) == 1 and squeeze_node.has_valid('squeeze_dims'):
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dims_node = Const(graph, {'name': squeeze_node.id + '/Dims',
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'value': int64_array(squeeze_node.squeeze_dims)}).create_node()
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squeeze_node.in_port(1).connect(dims_node.out_port(0))
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del squeeze_node['squeeze_dims']
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elif len(squeeze_node.in_nodes()) == 2:
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log.debug('The Squeeze node "{}" is already normalized'.format(squeeze_node.name))
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else:
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raise Error('The Squeeze layer "{}" should either have 2 inputs or one input and an "squeeze_dims" '
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'attribute'.format(squeeze_node.soft_get('name')))
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