code: def _experimental_reshape(self, shape):
      temp_shape = shape[2:]
      if len(temp_shape) == 1:
          new_shape = (shape[0], shape[1] * shape[2])
      else:
          tmp_div = len(temp_shape) // 2 + len(temp_shape) % 2
          new_shape = (
              shape[0]
              * functools.reduce(operator.mul, temp_shape[tmp_div:], 1),
              shape[1]
              * functools.reduce(operator.mul, temp_shape[:tmp_div], 1),
          )
      return new_shape, copy(shape)
  
imports: import torch
  import torch.optim
  from torch.nn.utils import clip_grad_norm_
  import operator
  import functools
  from copy import copy
  from math import sqrt
  import types
  import os
  import importlib
  from onmt.utils.misc import fn_args
label_desc: Use image node_id 3 for calling the AdaFactor obj's underlying member method code with example usage: obj._experimental_reshape(shape) and returns: new_shape,  copy