code: def _compute_min_leaf_mask(self, l_cnt, r_cnt):
      min_leaf_node_mask_l = l_cnt < self.min_leaf_node
      min_leaf_node_mask_r = r_cnt < self.min_leaf_node
      union_mask_0 = torch.logical_or(
          min_leaf_node_mask_l, min_leaf_node_mask_r
      )
      return union_mask_0
  
imports: import torch
  import numpy
  import logging
  from fate.arch.dataframe import DataFrame
  from fate.arch import Context
  from fate.arch.histogram import DistributedHistogram
label_desc: Use image node_id 9 for calling the SBTSplitter obj's underlying member method code with example usage: obj._compute_min_leaf_mask(l_cnt, r_cnt) and returns: union_mask_0