class_docstr: Simpler version of CompositionalNN
class_docstr_tok: ["Simpler","version","of","CompositionalNN"]
code: def __init__(self, lstm_dim: int):
      super().__init__()
      self.lstm_dim = lstm_dim
      self.linear_seq = nn.Sequential(
          nn.Linear(lstm_dim, lstm_dim), nn.Tanh()
      )
  
imports: from typing import Any, List, Sized, Tuple
  import torch
  import torch.nn
  from pytext.torchscript.utils import reverse_tensor_list
  from pytext.utils.cuda import FloatTensor
  from pytext.utils.tensor import xaviervar
label_desc: Use image node_id 1 to create a new CompositionalSummationNN object from inherited base classes: torch.jit with example: obj = CompositionalSummationNN(lstm_dim)