class_docstr: Att conv with edge feature v2
class_docstr_tok: ["Att","conv","with","edge","feature","v2"]
code: def forward(
      self,
      x,
      edge_index,
      edge_weight=None,
      edge_feature=None,
      task_emb=None,
  ):
      if self.cached and self.cached_result is not None:
          if edge_index.size(1) != self.cached_num_edges:
              raise RuntimeError(
                  "Cached {} number of edges, but found {}. Please "
                  "disable the caching behavior of this layer by removing "
                  "the `cached=True` argument in its constructor.".format(
                      self.cached_num_edges, edge_index.size(1)
                  )
              )
  
      if not self.cached or self.cached_result is None:
          self.cached_num_edges = edge_index.size(1)
          if self.normalize:
              edge_index, norm = self.norm(
                  edge_index,
                  x.size(self.node_dim),
                  edge_weight,
                  self.improved,
                  x.dtype,
              )
          else:
              norm = edge_weight
          self.cached_result = edge_index, norm
  
      edge_index, norm = self.cached_result
  
      if self.msg_direction == "both":
          x = (x, x)  # todo: check if expected
  
      return self.propagate(
          edge_index,
          x=x,
          norm=norm,
          edge_feature=edge_feature,
          task_emb=task_emb,
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn import Parameter
  from torch_geometric.nn.conv import MessagePassing
  from torch_geometric.nn.inits import glorot, zeros
  from torch_geometric.utils import add_remaining_self_loops, softmax
  from torch_scatter import scatter_add
  from graphgym.config import cfg
  from graphgym.register import register_layer
label_desc: Use image node_id 4 for calling the GeneralEdgeAttConvv2Layer obj's underlying member method code with example usage: obj.forward(x, edge_index, edge_weight, edge_feature, task_emb) and returns: self