code: def __init__(self, inner_size: int, multiplier: int = 4):
      super().__init__()
      self.norm = torch.nn.LayerNorm(inner_size)
      self.linear = torch.nn.Linear(inner_size, inner_size * multiplier)
      self.activation = torch.nn.GELU()
      self.linear_final = torch.nn.Linear(
          inner_size * multiplier, inner_size
      )
  
file_path: nebuly/optimization/open_alpha_tensor/open_alpha_tensor/core/modules/attention.py
imports: import torch
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new AttentionDenseBlock object from inherited base classes: torch.nn with example: obj = AttentionDenseBlock(inner_size, multiplier)