code: def FeedForward(dim, mult=4):
      return nn.Sequential(
          RMSNorm(dim),
          nn.Linear(dim, dim * mult),
          nn.GELU(),
          nn.Linear(dim * mult, dim),
      )
  
file_path: mixture-of-attention/mixture_of_attention/transformer.py
imports: import torch
  import torch.nn.functional
  from torch import nn, einsum
  from einops import rearrange
  from mixture_of_attention.mixture_of_attention import MixtureOfAutoregressiveAttention
  from mixture_of_attention.rotary_emb import RotaryEmbedding
label_desc: Use image node_id 2 for calling a global function with example usage: FeedForward(dim, mult) and returns: nn