def setup_DA_params(self):
    '\n        net_num_pool_op_kernel_sizes is different in resunet\n        '
    super().setup_DA_params()
    self.deep_supervision_scales = ([[1, 1, 1]] + list((list(i) for i in (1 / np.cumprod(np.vstack(self.net_num_pool_op_kernel_sizes[1:]), axis=0))))[:(- 1)])
net_num_pool_op_kernel_sizes is different in resunet
def setup_DA_params(self):
    '\n        \n        '
    super().setup_DA_params()
    self.deep_supervision_scales = ([[1, 1, 1]] + list((list(i) for i in (1 / np.cumprod(np.vstack(self.net_num_pool_op_kernel_sizes[1:]), axis=0))))[:(- 1)])