code: def __init__(
      self,
      input_size: int,
      hidden_size: int = 512,
      output_size: int = 8,
  ):
      super().__init__()
      self.layers = torch.nn.Sequential(
          *(
              [ValueHeadCore(input_size, hidden_size)]
              + [ValueHeadCore(hidden_size, hidden_size)] * 2
          )
      )
      self.linear = torch.nn.Linear(hidden_size, output_size)
  
imports: import math
  import torch
  import torch.nn.functional
  from open_alpha_tensor.core.modules.attention import AlphaMultiHeadAttention
label_desc: Use image node_id 1 to create a new ValueHead object from inherited base classes: torch.nn with example: obj = ValueHead(input_size, hidden_size, output_size)