code: def _materialize_tensors(collection: Any) -> Any:
      def _load_tensor(t: _NotYetLoadedTensor) -> Tensor:
          return t._load_tensor()
  
      return apply_to_collection(
          collection, dtype=_NotYetLoadedTensor, function=_load_tensor
      )
  
imports: import os
  import pickle
  import warnings
  from functools import partial
  from io import BytesIO
  from typing import IO, TYPE_CHECKING, Any, Callable, Dict, Optional, OrderedDict, Sequence, Set, Union
  import torch
  from lightning_utilities.core.apply_func import apply_to_collection
  from torch import Tensor
  from torch._C import _TensorMeta
  from torch.nn import Parameter
  from typing_extensions import override
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.fabric.utilities.types import _PATH, _Stateful
label_desc: Use image node_id 2 for calling a global function with example usage: _materialize_tensors(collection) and returns: apply_to_collection, t