class_docstr: Implements lit.Model interface for testing classification models.
  
  Returns the same output for every input.
class_docstr_tok: ["Implements","lit.Model","interface","for","testing","classification","models",".","Returns","the","same","output","for","every","input","."]
code: def input_spec(self):
      return {
          "input_embs": lit_types.TokenEmbeddings(
              align="tokens", required=False
          ),
          "segment": lit_types.TextSegment(),
          "grad_class": lit_types.CategoryLabel(vocab=["0", "1"]),
      }
  
imports: from collections.abc import Iterable, Iterator
  from lit_nlp.api import model
  from lit_nlp.api import types
  import numpy
  import numpy.testing
label_desc: Use image node_id 1 for calling the ClassificationModelForTesting obj's underlying member method code with example usage: obj.input_spec() and returns: dict