code: def forward(
      self, x_dict: Dict[Union[NodeType, EdgeType], Tensor]
  ) -> Dict[Union[NodeType, EdgeType], Tensor]:
      return {
          key: self.lins[key2str(key)](x) for key, x in x_dict.items()
      }
  
imports: import copy
  import warnings
  from typing import Any, Dict, List, Optional, Union
  import torch
  from torch import Tensor
  from torch.nn import Module, Parameter
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.dense import Linear
  from torch_geometric.nn.fx import Transformer
  from torch_geometric.typing import EdgeType, Metadata, NodeType, SparseTensor
  from torch_geometric.utils.hetero import get_unused_node_types
label_desc: Use image node_id 2 for calling the LinearAlign obj's underlying member method code with example usage: obj.forward(x_dict) and returns: unknown