# MIT License

# Copyright (c) Microsoft

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# of this software and associated documentation files (the "Software"), to deal
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# Copyright (c) [2025] [Microsoft]
# SPDX-License-Identifier: MIT
import torch
import torch.nn as nn
from . import SparseTensor

__all__ = [
    'SparseLinear'
]


class SparseLinear(nn.Linear):
    def __init__(self, in_features, out_features, bias=True):
        super(SparseLinear, self).__init__(in_features, out_features, bias)

    def forward(self, input: SparseTensor) -> SparseTensor:
        return input.replace(super().forward(input.feats))