53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
"""
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Copyright (C) 2018-2020 Intel Corporation
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import logging as log
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import numpy as np
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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.ops.unsqueeze import Unsqueeze
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class ExpandDimsToUnsqueeze(FrontReplacementPattern):
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"""
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Converts the 'ExpandDims' layer to Unsqueeze layer with two inputs: the input with data and input with the
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dimensions to unsqueeze.
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"""
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enabled = True
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def run_after(self):
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from extensions.front.Pack import Pack
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return [Pack]
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def find_and_replace_pattern(self, graph: Graph):
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for expand_dims_node in graph.get_op_nodes(op='ExpandDims'):
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if len(expand_dims_node.in_nodes()) == 1:
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expand_axis = expand_dims_node.expand_axis
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if not isinstance(expand_axis, np.ndarray):
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expand_axis = int64_array([expand_axis]).flatten()
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unsqueeze_node = Unsqueeze(graph, {'name': expand_dims_node.id + '/Unsqueeze'}).create_node()
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unsqueeze_dims_node = Const(graph, {'name': expand_dims_node.id + '/Dims',
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'value': expand_axis}).create_node()
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expand_dims_node.in_port(0).get_connection().set_destination(unsqueeze_node.in_port(0))
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expand_dims_node.out_port(0).get_connection().set_source(unsqueeze_node.out_port(0))
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unsqueeze_node.in_port(1).connect(unsqueeze_dims_node.out_port(0))
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else:
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log.error('The ExpandDims node {} has more than 1 input'.format(expand_dims_node.soft_get('name')))
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