class_docstr: See :class:`torch_geometric.nn.conv.GATConv`.
class_docstr_tok: ["See",":","class",":","`","torch_geometric.nn.conv.GATConv","`","."]
code: def __repr__(self) -> str:
      return (
          f"{self.__class__.__name__}({self.in_channels}, "
          f"{self.out_channels}, heads={self.heads})"
      )
  
file_path: pytorch_geometric/torch_geometric/nn/dense/dense_gat_conv.py
imports: from typing import Optional
  import torch
  import torch.nn.functional
  from torch import Tensor
  from torch.nn import Parameter
  from torch_geometric.nn.dense.linear import Linear
  from torch_geometric.nn.inits import glorot, zeros
label_desc: Use image node_id 4 for calling the DenseGATConv obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str, self, str