39 lines
1.1 KiB
Python
39 lines
1.1 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 extensions.middle.AddMeanScaleValues import AddMeanScaleValues
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from mo.graph.graph import Graph
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from mo.middle.replacement import MiddleReplacementPattern
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class ScaleInput(MiddleReplacementPattern):
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enabled = True
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def run_after(self):
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from extensions.middle.pass_separator import PreMiddleStart
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return [PreMiddleStart]
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def run_before(self):
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from extensions.middle.AddMeanScaleValues import AddMeanScaleValues
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return [AddMeanScaleValues]
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def pattern(self):
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return dict(
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nodes=[
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('placeholder', dict(kind='op', op='Parameter')),
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('data', dict(kind='data'))],
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edges=[
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('placeholder', 'data'),
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],
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)
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def replace_pattern(self, graph: Graph, match: dict):
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scale = graph.graph['cmd_params'].scale
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if scale is None or scale == 1:
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return
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assert (len(match['placeholder'].out_nodes()))
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AddMeanScaleValues.apply_scale(graph, match['placeholder'], {'scale': np.array([scale])})
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