16 lines
387 B
Python
16 lines
387 B
Python
import torch
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import torch.nn as nn
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from . import SparseTensor
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__all__ = [
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'SparseLinear'
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]
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class SparseLinear(nn.Linear):
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def __init__(self, in_features, out_features, bias=True):
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super(SparseLinear, self).__init__(in_features, out_features, bias)
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def forward(self, input: SparseTensor) -> SparseTensor:
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return input.replace(super().forward(input.feats))
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