code: def __init__(self, dim, dropout=0.0, mult=4.0):
      super().__init__()
      self.net = nn.Sequential(
          nn.Linear(dim, dim * mult * 2),
          GEGLU(),
          nn.Dropout(dropout),
          nn.Linear(dim * mult, dim),
      )
  
imports: import torch
  import torch.nn.functional
  from einops import rearrange
  from torch import nn
label_desc: Use image node_id 1 to create a new FeedForward object from inherited base classes: nn with example: obj = FeedForward(dim, dropout, mult)