code: def __init__(self, dim, hidden_dim, dropout=0.0):
      super().__init__()
      self.net = nn.Sequential(
          nn.LayerNorm(dim),
          nn.Linear(dim, hidden_dim),
          nn.GELU(),
          nn.Dropout(dropout),
          nn.Linear(hidden_dim, dim),
          nn.Dropout(dropout),
      )
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 to create a new FeedForward object from inherited base classes: nn with example: obj = FeedForward(dim, hidden_dim, dropout)