class_docstr: Implements the TF backend ops for a PC auto-batching VM.
docstr: Implements inequality comparison for TF backend.
docstr_tok: ["Implements","inequality","comparison","for","TF","backend","."]
code: def not_equal(self, t1, t2, name=None):
      """Implements inequality comparison for TF backend."""
      with tf.name_scope("VM.not_equal"):
          return tf.not_equal(t1, t2, name=name)
  
imports: import collections
  import contextlib
  import six
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.auto_batching import xla
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow.python.ops import control_flow_util
label_desc: Use image node_id 21 for calling the TensorFlowBackend obj's underlying member method code with example usage: obj.not_equal(t1, t2, name) and returns: tf