class_docstr: A ``TextFieldEmbedder`` is a ``Module`` that takes as input the
  :class:`~allennlp.data.DataArray` produced by a :class:`~allennlp.data.fields.TextField` and
  returns as output an embedded representation of the tokens in that field.
  
  The ``DataArrays`` produced by ``TextFields`` are `dictionaries` with named representations,
  like "words" and "characters".  When you create a ``TextField``, you pass in a dictionary of
  :class:`~allennlp.data.TokenIndexer` objects, telling the field how exactly the tokens in the
  field should be represented.  This class changes the type signature of ``Module.forward``,
  restricting ``TextFieldEmbedders`` to take inputs corresponding to a single ``TextField``,
  which is a dictionary of tensors with the same names as were passed to the ``TextField``.
  
  We also add a method to the basic ``Module`` API: :func:`get_output_dim()`.  You might need
  this if you want to construct a ``Linear`` layer using the output of this embedder, for
  instance.
docstr: Returns the dimension of the vector representing each token in the output of this
  ``TextFieldEmbedder``.  This is `not` the shape of the returned tensor, but the last element of
  that shape.
docstr_tok: ["Returns","the","dimension","of","the","vector","representing","each","token","in","the","output","of","this","``","TextFieldEmbedder","``",".","This","is","`","not","`","the","shape","of","the","returned","tensor",",","but","the","last","element","of","that","shape","."]
code: def get_output_dim(self):
      """
      Returns the dimension of the vector representing each token in the output of this
      ``TextFieldEmbedder``.  This is `not` the shape of the returned tensor, but the last element of
      that shape.
      """
      raise NotImplementedError
  
file_path: magnitude/pymagnitude/third_party/allennlp/modules/text_field_embedders/text_field_embedder.py
imports: from __future__ import absolute_import
  import torch
  from allennlp.common import Registrable
label_desc: Use image node_id 2 for calling the TextFieldEmbedder obj's underlying member method code with example usage: obj.get_output_dim() without return types