code: def kaiming_normal_(
      tensor,
      a=0,
      mode="fan_in",
      nonlinearity="leaky_relu",
      reverse=False,
  ):
      """
      Modified tensor inspace using kaiming_normal_
      Args:
          tensor (paddle.Tensor): paddle Tensor
          mode (str): ['fan_in', 'fan_out'], 'fin_in' defalut
          nonlinearity (str): nonlinearity method name
          reverse (bool):  reverse (bool: False): tensor data format order, False by default as [fout, fin, ...].
      Return:
          tensor
      """
      fan = _calculate_correct_fan(tensor, mode, reverse)
      gain = _calculate_gain(nonlinearity, a)
      std = gain / math.sqrt(fan)
      return _no_grad_normal_(tensor, 0, std)
  
imports: import math
  import numpy
  import paddle
  import paddle.nn
label_desc: Use image node_id 16 for calling a global function with example usage: kaiming_normal_(tensor, a, mode, nonlinearity, reverse) and returns: _no_grad_normal_