code: def numericalize(self, batch, device=None):
      return (
          torch.tensor(batch, dtype=self.dtype, device=device)
          .contiguous()
          .view(-1, len(batch[0]) * len(batch[0][0]))
      )
  
file_path: pytext/pytext/fields/contextual_token_embedding_field.py
imports: import copy
  from typing import List
  import torch
  from pytext.utils import data
  from .field import Field, TextFeatureField
label_desc: Use image node_id 3 for calling the ContextualTokenEmbeddingField obj's underlying member method code with example usage: obj.numericalize(batch, device) and returns: torch