class_docstr: A RemoteValue that represents a mutable per-worker variable.
class_docstr_tok: ["A","RemoteValue","that","represents","a","mutable","per-worker","variable","."]
docstr: Retrieve value with no caching to ensure we get the up-to-date value.
docstr_tok: ["Retrieve","value","with","no","caching","to","ensure","we","get","the","up-to-date","value","."]
code: def get(self):
      """Retrieve value with no caching to ensure we get the up-to-date value."""
      self._wait_and_maybe_error()
      return self._copy_to_local()
  
imports: import threading
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops.options import ExternalStatePolicy
  from tensorflow.python.distribute import input_lib
  from tensorflow.python.distribute.coordinator import remote_value
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.framework import composite_tensor
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling the RemoteVariable obj's underlying member method code with example usage: obj.get() and returns: self