class_docstr: Base class for token level embedding modules.
  
  Args:
      embedding_dim (int): Size of embedding vector.
  
  Attributes:
      num_emb_modules (int): Number of ways to embed a token.
      embedding_dim (int): Size of embedding vector.
docstr: Overridden in sub classes to implement Tensorboard visualization of
  embedding space
code: def visualize(self, summary_writer: SummaryWriter):
      """
      Overridden in sub classes to implement Tensorboard visualization of
      embedding space
      """
      pass
  
file_path: pytext/pytext/models/embeddings/embedding_base.py
imports: from typing import Dict, List
  import torch.nn
  from pytext.models.module import Module
  from pytext.utils.usage import log_class_usage
  from torch.utils.tensorboard import SummaryWriter
label_desc: Use image node_id 2 for calling the EmbeddingBase obj's underlying member method code with example usage: obj.visualize(summary_writer) without return types