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31 lines
679 B
31 lines
679 B
from dataclasses import dataclass, field, InitVar
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import torch
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try:
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import deepspeed as ds
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except ImportError as e:
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ds = None
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from .updater import Updater
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@dataclass
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class UpdaterDeepSpeed(Updater):
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def __post_init__(self):
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super().__post_init__()
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# FIXME not sure how to deal with model.module / grad clipping w/ DS engine interface
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assert isinstance(self.model, ds.DeepSpeedEngine)
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def reset(self):
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self.model.zero_grad()
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def apply(self, loss: torch.Tensor, accumulate=False):
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self.model.backward(loss)
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self.model.step()
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self.reset()
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@property
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def deepspeed(self):
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return True
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