code: def _init_parameter(self, zero_init_residual_transform):
      for m in self.modules():
          if isinstance(m, nn.Conv3d):
              if (
                  hasattr(m, "final_transform_op")
                  and m.final_transform_op
                  and zero_init_residual_transform
              ):
                  nn.init.constant_(m.weight, 0)
              else:
                  nn.init.kaiming_normal_(
                      m.weight, mode="fan_out", nonlinearity="relu"
                  )
              if m.bias is not None:
                  nn.init.constant_(m.bias, 0)
          elif isinstance(m, nn.BatchNorm3d) and m.affine:
              if (
                  hasattr(m, "final_transform_op")
                  and m.final_transform_op
                  and zero_init_residual_transform
              ):
                  batchnorm_weight = 0.0
              else:
                  batchnorm_weight = 1.0
              nn.init.constant_(m.weight, batchnorm_weight)
              nn.init.constant_(m.bias, 0)
          elif isinstance(m, nn.Linear):
              nn.init.normal_(m.weight, mean=0.0, std=0.01)
              nn.init.constant_(m.bias, 0)
  
imports: import logging
  from typing import Any, Dict, Sequence
  import torch
  import torch.nn
  from classy_vision.generic.util import is_pos_int, is_pos_int_list
  from .None import register_model
  from .classy_model import ClassyModel
  from .resnext3d_stage import ResStage
  from .resnext3d_stem import R2Plus1DStem, ResNeXt3DStem
label_desc: Use image node_id 3 for calling the ResNeXt3DBase obj's underlying member method code with example usage: obj._init_parameter(zero_init_residual_transform) without return types