code: def from_hash(hashable_tensor: str, shape: tuple) -> torch.Tensor:
      """Converts a hash string back to the original tensor.
  
      Args:
          hashable_tensor (str): The hash string.
          shape (tuple): The shape of the original tensor.
      """
      return torch.tensor(
          [float(x) for x in hashable_tensor.split("_")]
      ).resize(shape)
  
file_path: nebuly/optimization/open_alpha_tensor/open_alpha_tensor/core/actors/stage.py
imports: from typing import Dict, List
  import torch
  from open_alpha_tensor.core.data.utils import get_scalars, map_action_to_triplet
  from open_alpha_tensor.core.modules.alpha_tensor import AlphaTensorModel
label_desc: Use image node_id 8 for calling a global function with example usage: from_hash(hashable_tensor, shape) and returns: torch