def apply_init_()

in level_replay/model.py [0:0]


def apply_init_(modules):
    """
    Initialize NN modules
    """
    for m in modules:
        if isinstance(m, nn.Conv2d):
            nn.init.xavier_uniform_(m.weight)
            if m.bias is not None:
                nn.init.constant_(m.bias, 0)
        elif isinstance(m, (nn.BatchNorm2d, nn.GroupNorm)):
            nn.init.constant_(m.weight, 1)
            if m.bias is not None:
                nn.init.constant_(m.bias, 0)