mirror of
https://github.com/hpcaitech/ColossalAI.git
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0fedef4f3c
* integrated parallel layers for ease of building models * integrated 2.5d layers * cleaned codes and unit tests * added log metric by step hook; updated imagenet benchmark; fixed some bugs * reworked initialization; cleaned codes Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
13 lines
654 B
Python
13 lines
654 B
Python
from ._base_hook import BaseHook
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from ._checkpoint_hook import LoadCheckpointHook, SaveCheckpointHook
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from ._log_hook import (LogMemoryByEpochHook, LogMetricByEpochHook, LogMetricByStepHook, LogTimingByEpochHook,
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TensorboardHook)
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from ._lr_scheduler_hook import LRSchedulerHook
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from ._metric_hook import AccuracyHook, LossHook, MetricHook, ThroughputHook
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__all__ = [
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'BaseHook', 'MetricHook', 'LoadCheckpointHook', 'SaveCheckpointHook', 'LossHook', 'AccuracyHook',
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'LogMetricByEpochHook', 'TensorboardHook', 'LogTimingByEpochHook', 'LogMemoryByEpochHook', 'LRSchedulerHook',
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'ThroughputHook', 'LogMetricByStepHook'
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]
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