code: def __deepcopy__(self, memo):
      # deepcopying prediction strategies of a model evaluated on inputs that require gradients fails
      # with RuntimeError (Only Tensors created explicitly by the user (graph leaves) support the deepcopy
      # protocol at the moment). Overwriting this method make sure that the prediction strategies of a
      # model are set to None upon deepcopying.
      pass
  
imports: import functools
  import string
  import warnings
  import torch
  from linear_operator import to_dense, to_linear_operator
  from linear_operator.operators import AddedDiagLinearOperator, BatchRepeatLinearOperator, ConstantMulLinearOperator, DenseLinearOperator, InterpolatedLinearOperator, LinearOperator, LowRankRootAddedDiagLinearOperator, MaskedLinearOperator, MatmulLinearOperator, RootLinearOperator, ZeroLinearOperator
  from linear_operator.utils.cholesky import psd_safe_cholesky
  from linear_operator.utils.interpolation import left_interp, left_t_interp
  from torch import Tensor
  from ..None import settings
  from ..distributions import MultitaskMultivariateNormal
  from ..lazy import LazyEvaluatedKernelTensor
  from ..utils.memoize import add_to_cache, cached, clear_cache_hook, pop_from_cache
label_desc: Use image node_id 2 for calling the DefaultPredictionStrategy obj's underlying member method code with example usage: obj.__deepcopy__(memo) without return types