def METHOD_NAME(self):
    for layer in self.sublayers():
        if isinstance(layer, nn.Conv1D):
            layer.weight.set_value(
                KaimingUniform_like_torch(layer.weight).astype('float32'))
            if layer.bias is not None:
                layer.bias.set_value(
                    init_bias(layer.weight, layer.bias).astype('float32'))