class_docstr: General wrapper for layers
class_docstr_tok: ["General","wrapper","for","layers"]
code: def __init__(self, dim_in):
      super(BatchNorm1dNode, self).__init__()
      self.bn = nn.BatchNorm1d(
          dim_in, eps=cfg.bn.eps, momentum=cfg.bn.mom
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import torch_geometric
  import graphgym.register
  from graphgym.config import cfg
  from graphgym.contrib.layer.generalconv import GeneralConvLayer, GeneralEdgeConvLayer
  from graphgym.models.act import act_dict
label_desc: Use image node_id 1 to create a new BatchNorm1dNode object from inherited base classes: nn with example: obj = BatchNorm1dNode(dim_in)