class_docstr: A register-only variable.
  
  Efficiently stores and updates values whose lifetime does not cross function
  calls (and therefore does not require a stack).  This is different from
  `TemporaryVariable` because it supports crossing basic block boundaries.  A
  `RegisterTensorFlowVariable` therefore needs to store its content persistently
  across the `while_loop` in `execute`, and to handle divergence (and
  re-convergence) of logical threads.
code: def pop(self, mask):
      del mask
      return self
  
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 4 for calling the RegisterTensorFlowVariable obj's underlying member method code with example usage: obj.pop(mask) and returns: self