LightweightGAN/PreNorm.py

from torch import nn
from .ChanNorm import ChanNorm


class PreNorm(nn.Module):
    def __init__(self, dim, fn):
        super().__init__()
        self.fn = fn
        self.norm = ChanNorm(dim)

    def forward(self, x):
        return self.fn(self.norm(x))