code: def pause(train_mode=False):  # pylint: disable=redefined-outer-name
      """Returns a scope context to be used in 'with' statement for codes that do not need
      gradients to be calculated.
  
      Example::
  
          with autograd.record():
              y = model(x)
              backward([y])
              with autograd.pause():
                  # testing, IO, gradient updates...
  
      Parameters
      ----------
      train_mode: bool, default False
          Whether to do forward for training or predicting.
      """
      return _RecordingStateScope(False, train_mode)
  
imports: from array import array
  from threading import Lock
  import traceback
  import ctypes
  from ctypes import c_int, c_void_p, CFUNCTYPE, POINTER, cast
  from .base import _LIB, check_call, string_types, mx_uint
  from .base import NDArrayHandle, c_array, c_handle_array, c_array_buf, MXCallbackList, SymbolHandle
  from .ndarray import NDArray, _ndarray_cls
  from .ndarray import _GRAD_REQ_MAP
  from .symbol import Symbol
  from .util import is_np_array
label_desc: Use image node_id 6 for calling a global function with example usage: pause(train_mode) and returns: _RecordingStateScope