diracconv.py 文件源码

def __init__(self, in_channels, out_channels, kernel_size, padding=0, dilation=1, bias=True):
        super(DiracConv1d, self).__init__(in_channels, out_channels, kernel_size,
                                          stride=1, padding=padding, dilation=dilation, bias=bias)
        self.alpha = nn.Parameter(torch.Tensor([5]))
        self.beta = nn.Parameter(torch.Tensor([1e-5]))
        self.register_buffer('delta', dirac_delta(in_channels, out_channels, k=self.weight.size()[2:]))
        assert self.delta.size() == self.weight.size()