docstr: Call `torch.Tensor.cpu` on the underlying share
docstr_tok: ["Call","`","torch.Tensor.cpu","`","on","the","underlying","share"]
code: def cpu(self):
      """Call `torch.Tensor.cpu` on the underlying share"""
      self.share = self.share.cpu()
      return self
  
imports: import torch
  from .None import communicator
  from .common.tensor_types import is_tensor
  from .common.util import torch_stack
  from .config import cfg
  from .cryptensor import CrypTensor
  from .cuda import CUDALongTensor
  from .encoder import FixedPointEncoder
  from .primitives.binary import BinarySharedTensor
  from .primitives.converters import convert
  from .ptype import ptype
label_desc: Use image node_id 12 for calling the MPCTensor obj's underlying member method code with example usage: obj.cpu() and returns: self