code: def initialize_weight(self, out_channels, in_channels, groups):
      return Tensor.kaiming_uniform(
          out_channels,
          in_channels // groups,
          *self.kernel_size,
          a=math.sqrt(5),
      )
  
imports: import math
  from typing import Optional, Union, Tuple, cast
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import prod
  from tinygrad.nn import optim, state
label_desc: Use image node_id 3 for calling the Conv2d obj's underlying member method code with example usage: obj.initialize_weight(out_channels, in_channels, groups) and returns: Tensor