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24 lines
903 B
24 lines
903 B
3 years ago
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from deepspeech.training.extensions import extension
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from deepspeech.training.updaters.trainer import Trainer
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class VisualDL(extension.Extension):
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"""A wrapper of visualdl log writer. It assumes that the metrics to be visualized
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are all scalars which are recorded into the `.observation` dictionary of the
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trainer object. The dictionary is created for each step, thus the visualdl log
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writer uses the iteration from the updater's `iteration` as the global step to
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add records.
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"""
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trigger = (1, 'iteration')
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default_name = 'visualdl'
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priority = extension.PRIORITY_READER
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def __init__(self, writer):
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self.writer = writer
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def __call__(self, trainer: Trainer):
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for k, v in trainer.observation.items():
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self.writer.add_scalar(k, v, step=trainer.updater.state.iteration)
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def finalize(self, trainer):
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self.writer.close()
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