code: def _rebuild_tensor_v3(
      storage,
      storage_offset,
      size,
      stride,
      requires_grad,
      backward_hooks,
      dtype,
      metadata=None,
  ):
      t = torch.tensor(
          [],
          dtype=dtype,
          device=storage._untyped_storage.device,
          requires_grad=requires_grad,
      )
      t.set_(storage._untyped_storage, storage_offset, size, stride)
      if metadata:
          set_tensor_metadata(t, metadata)
      t._backward_hooks = backward_hooks
      return t
  
imports: import copyreg
  import functools
  import sys
  import traceback
  import warnings
  from collections import defaultdict
  from typing import Any, DefaultDict, List, Optional
  import torch
label_desc: Use image node_id 9 for calling a global function with example usage: _rebuild_tensor_v3(storage, storage_offset, size, stride, requires_grad, backward_hooks, dtype, metadata) and returns: t