33 lines
1.2 KiB
Python
33 lines
1.2 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 mo.graph.graph import Graph
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from mo.utils.model_analysis import AnalyzeAction
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class TrainingPhaseAnalysis(AnalyzeAction):
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def analyze(self, graph: Graph):
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nodes = graph.get_op_nodes(op='Parameter', data_type=np.bool)
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names = ""
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params = ""
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if not nodes:
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return None, None
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for node in nodes:
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names = names + '\t{}\n'.format(node.name)
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params = params + '\t--input "{}->False" or --input "{}->True"\n'.format(node.name,
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node.name)
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message = 'It looks like there are input nodes of boolean type:\n' + names
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message = message + 'If this input node is as switch between the training and an inference mode, ' \
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'then you need to freeze this input with value True or False.\n' \
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'In order to do this run the Model Optimizer with the command line parameter:\n' \
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+ params
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message = message + 'to switch graph to inference mode.'
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return None, message
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