mirror of https://github.com/hpcaitech/ColossalAI
33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
import torch.nn as nn
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from torch.optim import Optimizer
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from colossalai.utils import is_no_pp_or_last_stage
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from .naive_amp import NaiveAMPOptimizer, NaiveAMPModel
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def convert_to_naive_amp(model: nn.Module,
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optimizer: Optimizer,
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amp_config):
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"""A helper function to wrap training components with Torch AMP modules
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:param model: your model object
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:type model: :class:`torch.nn.Module`
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:param optimizer: your optimizer object
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:type optimizer: :class:`torch.optim.Optimzer`
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:param amp_config: configuration for naive mode amp
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:type amp_config: :class:`colossalai.context.Config` or dict
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:return: (model, optimizer)
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:rtype: Tuple
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"""
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if is_no_pp_or_last_stage():
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model = NaiveAMPModel(model, output_to_fp32=True)
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else:
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model = NaiveAMPModel(model, output_to_fp32=False)
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optimizer = NaiveAMPOptimizer(optimizer, **amp_config)
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return model, optimizer
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__all__ = ['convert_to_naive_amp', 'NaiveAMPOptimizer']
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