mirror of https://github.com/hpcaitech/ColossalAI
24 lines
770 B
Python
24 lines
770 B
Python
from contextlib import nullcontext
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import torch.nn as nn
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from colossalai.context import ParallelMode, seed
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from colossalai.utils import conditional_context
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from ..parallel_1d import *
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from ..utils import get_tensor_parallel_mode
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class Dropout(nn.Module):
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def __init__(self, p: float = 0.5, inplace: bool = False) -> None:
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super().__init__()
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self.tensor_parallel = get_tensor_parallel_mode()
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if self.tensor_parallel == '1d':
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self.drop = Dropout1D(p, inplace)
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else:
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self.drop = nn.Dropout(p, inplace)
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def forward(self, *args):
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cm = nullcontext() if self.tensor_parallel in ['None', '1d'] else seed(ParallelMode.TENSOR)
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with cm:
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return self.drop(*args)
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