models/utils.py [326:347]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        else:
            self.bias = nn.Parameter(torch.zeros(outch))

        if wsize > 0:
            self.affine = LinearELR(wsize, inch, lrmult=affinelrmult)
        else:
            self.affine = None

        self.fused = False

    def extra_repr(self):
        return 'inch={}, outch={}, kernel_size={}, stride={}, padding={}, wsize={}, norm={}, ub={}, act={}'.format(
            self.inch, self.outch, self.kernel_size, self.stride, self.padding, self.wsize, self.norm, self.ub, self.act
        )

    def getweight(self, weight):
        if self.fused:
            return weight
        else:
            if self.norm is not None:
                if self.norm == "demod":
                    if weight.ndim == 5:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



models/utils.py [668:689]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        else:
            self.bias = nn.Parameter(torch.zeros(outch))

        if wsize > 0:
            self.affine = LinearELR(wsize, inch, lrmult=affinelrmult)
        else:
            self.affine = None

        self.fused = False

    def extra_repr(self):
        return 'inch={}, outch={}, kernel_size={}, stride={}, padding={}, wsize={}, norm={}, ub={}, act={}'.format(
            self.inch, self.outch, self.kernel_size, self.stride, self.padding, self.wsize, self.norm, self.ub, self.act
        )

    def getweight(self, weight):
        if self.fused:
            return weight
        else:
            if self.norm is not None:
                if self.norm == "demod":
                    if weight.ndim == 5:
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