def init_weights(m, mean=0.0, std=0.01): classname = m.__class__.__name__ if classname.find("Conv") != -1: m.weight.data.normal_(mean, std) def apply_weight_norm(m): classname = m.__class__.__name__ if classname.find("Conv") != -1: weight_norm(m) def get_padding(kernel_size, dilation=1): return int((kernel_size*dilation - dilation)/2)