class_docstr: Implements the Numpy backend ops for a PC auto-batching VM.
class_docstr_tok: ["Implements","the","Numpy","backend","ops","for","a","PC","auto-batching","VM","."]
docstr: Implements inequality comparison for Numpy backend.
docstr_tok: ["Implements","inequality","comparison","for","Numpy","backend","."]
code: def not_equal(self, t1, t2, name=None):
      """Implements inequality comparison for Numpy backend."""
      del name
      return np.not_equal(t1, t2)
  
imports: import collections
  import numpy
  from tensorflow_probability.python.experimental.auto_batching import instructions
label_desc: Use image node_id 20 for calling the NumpyBackend obj's underlying member method code with example usage: obj.not_equal(t1, t2, name) and returns: np