class_docstr: MLP w/ GLU style gating
  See: https://arxiv.org/abs/1612.08083, https://arxiv.org/abs/2002.05202
code: def init_weights(self):
      # override init of fc1 w/ gate portion set to weight near zero, bias=1
      fc1_mid = self.fc1.bias.shape[0] // 2
      nn.init.ones_(self.fc1.bias[fc1_mid:])
      nn.init.normal_(self.fc1.weight[fc1_mid:], std=1e-6)
  
imports: import math
  from functools import partial
  from collections import namedtuple
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _pair
  import hydra
  from einops import reduce, rearrange
label_desc: Use image node_id 2 for calling the GluMlp obj's underlying member method code with example usage: obj.init_weights() without return types