code: def run_node(self, n):
      self.pbar.update(1)
      r = super().run_node(n)
      name = n.name
  
      if isinstance(r, torch.Tensor):
          if self.writer is None:
              n.meta["concrete_value"] = r
          else:
              if (
                  StorageWeakRef(r.untyped_storage())
                  in self.seen_storages
              ):
                  # Refuse to offload tensors which alias other live
                  # tensors, because this will violate operator contracts
                  n.meta["concrete_value"] = None
              else:
                  if not self.skip_offload:
                      self.writer.write_tensor(
                          os.path.join("eager", name), r
                      )
                  n.meta["concrete_value"] = LoadTensorMeta(
                      r.size(), r.stride(), r.dtype, r.device
                  )
                  self.seen_storages.add(
                      StorageWeakRef(r.untyped_storage())
                  )
      else:
          n.meta["concrete_value"] = is_tuple
  
      return r
  
imports: import torch.fx
  import copy
  import torch
  import math
  import sys
  from typing import Callable, List
  from functools import wraps, partial
  from dataclasses import dataclass
  from .compile_utils import get_placeholders, get_outputs
  from torch.utils._content_store import ContentStoreWriter
  from torch.hub import tqdm
  from torch.multiprocessing.reductions import StorageWeakRef
  import os
label_desc: Use image node_id 2 for calling the ConcreteProp obj's underlying member method code with example usage: obj.run_node(n) and returns: r