code: def __init__(self, dim_in, dim_out):
      super().__init__()
      self.proj = nn.Linear(dim_in, dim_out * 2)
  
imports: import math
  from inspect import isfunction
  import torch
  import torch.nn.functional
  from apex.contrib.group_norm import GroupNorm
  from einops import rearrange
  from torch import einsum, nn
  from torch._dynamo import disable
  from nemo.collections.multimodal.modules.stable_diffusion.diffusionmodules.util import checkpoint
label_desc: Use image node_id 1 to create a new GEGLU object from inherited base classes: nn with example: obj = GEGLU(dim_in, dim_out)