code: def __init__(self, dim, mult, dropout=0.0):
      super().__init__()
      self.net = nn.Sequential(
          nn.Conv2d(dim, dim * mult, 1),
          nn.Hardswish(),
          nn.Dropout(dropout),
          nn.Conv2d(dim * mult, dim, 1),
          nn.Dropout(dropout),
      )
  
imports: from math import ceil
  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, mult, dropout)