class_docstr: Operator that ensures an RNNCell runs on a particular device.
class_docstr_tok: ["Operator","that","ensures","an","RNNCell","runs","on","a","particular","device","."]
docstr: Run the cell on specified device.
docstr_tok: ["Run","the","cell","on","specified","device","."]
code: def _call_wrapped_cell(self, inputs, state, cell_call_fn, **kwargs):
      """Run the cell on specified device."""
      with ops.device(self._device):
          return cell_call_fn(inputs, state, **kwargs)
  
imports: import hashlib
  import numbers
  import sys
  import types
  import warnings
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_conversion
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.keras.utils import generic_utils
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 5 for calling the DeviceWrapperBase obj's underlying member method code with example usage: obj._call_wrapped_cell(inputs, state, cell_call_fn) and returns: cell_call_fn