code: def forward(self, x: Tensor) -> Tensor:
      return torch.cat([head(x) for head in self.heads], dim=1)
  
imports: from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Type, Union
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.nn.functional import pixel_shuffle, softmax
  from kornia.core import Module, Tensor
label_desc: Use image node_id 2 for calling the MultitaskHead obj's underlying member method code with example usage: obj.forward(x) and returns: torch