code: def weight_initialization(self):
      for m in self.modules():
          if isinstance(m, ME.MinkowskiConvolution):
              ME.utils.kaiming_normal_(
                  m.kernel, mode="fan_out", nonlinearity="relu"
              )
  
          if isinstance(m, ME.MinkowskiBatchNorm):
              nn.init.constant_(m.bn.weight, 1)
              nn.init.constant_(m.bn.bias, 0)
  
imports: import torch.nn
  import MinkowskiEngine
  from .modules import BasicBlock, Bottleneck
label_desc: Use image node_id 3 for calling the ResNetBase obj's underlying member method code with example usage: obj.weight_initialization() without return types