code: def forward(
      self, inputs: torch.Tensor, seq_lengths: torch.Tensor
  ) -> torch.Tensor:
      return torch.sum(inputs, 1) / seq_lengths.unsqueeze(1).float()
  
imports: import torch
  import torch.nn
  import torch.onnx.operators
  from pytext.config import ConfigBase
  from pytext.models.module import Module
  from pytext.utils.usage import log_class_usage
label_desc: Use image node_id 2 for calling the MeanPool obj's underlying member method code with example usage: obj.forward(inputs, seq_lengths) and returns: unknown