class_docstr: See :class:`torch_geometric.nn.conv.GINConv`.
class_docstr_tok: ["See",":","class",":","`","torch_geometric.nn.conv.GINConv","`","."]
code: def __init__(
      self,
      nn: Module,
      eps: float = 0.0,
      train_eps: bool = False,
  ):
      super().__init__()
  
      self.nn = nn
      self.initial_eps = eps
      if train_eps:
          self.eps = torch.nn.Parameter(torch.empty(1))
      else:
          self.register_buffer("eps", torch.empty(1))
      self.reset_parameters()
  
file_path: pytorch_geometric/torch_geometric/nn/dense/dense_gin_conv.py
imports: from typing import Optional
  import torch
  from torch import Tensor
  from torch.nn import Module
  from torch_geometric.nn.inits import reset
label_desc: Use image node_id 1 to create a new DenseGINConv object from inherited base classes: torch.nn with example: obj = DenseGINConv(nn, eps, train_eps)