code: def __init__(self, **kwargs):
      super().__init__(
          a=1,
          mode="fan_in",
          nonlinearity="leaky_relu",
          distribution="uniform",
          **kwargs,
      )
  
imports: import copy
  import math
  import warnings
  import numpy
  import torch
  import torch.nn
  from torch import Tensor
  from annotator.uniformer.mmcv.utils import Registry, build_from_cfg, get_logger, print_log
label_desc: Use image node_id 1 to create a new Caffe2XavierInit object from inherited base classes: KaimingInit with example: obj = Caffe2XavierInit()