class_docstr: This class is a Torchscript-friendly version of
  pytext.models.embeddings.EmbeddingList. The main differences are that it
  requires input arguments to be passed in as a list of Tensors, since
  Torchscript does not allow variable arguments, and that it only supports
  concat mode, since Torchscript does not support return value variance.
code: def visualize(self, summary_writer: SummaryWriter):
      for child in self:
          child.visualize(summary_writer)
  
file_path: pytext/pytext/models/embeddings/scriptable_embedding_list.py
imports: import inspect
  from inspect import signature
  from typing import Iterable, List, Tuple
  import torch
  from pytext.models.embeddings import EmbeddingBase
  from torch.utils.tensorboard import SummaryWriter
label_desc: Use image node_id 4 for calling the ScriptableEmbeddingList obj's underlying member method code with example usage: obj.visualize(summary_writer) without return types