code: def empty_from(
      tensor: torch.Tensor, shape: Iterable[int]
  ) -> torch.Tensor:
      shape_size = reduce(lambda x, y: x * y, shape)
      if shape_size == 0:
          raise ValueError("Cannot create empty tensor with size 0")
      return tensor.flatten()[:shape_size].view(shape)
  
imports: from functools import reduce
  from typing import Iterable
  import torch
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 1 for calling a global function with example usage: empty_from(tensor, shape) and returns: tensor