code: def as1Dbatch(tensor):
      """Return tensor as 3D tensor by either prepending new dimensions to
      the tensor shape (when ``tensor.ndim < 3``), or by collapsing
      starting dimensions into the first dimension (when ``tensor.ndim >
      3``).
      """
      while tensor.ndim < 3:
          tensor = tensor.unsqueeze(0)
      if tensor.ndim > 3:
          tensor = tensor.flatten(0, tensor.ndim - 3)
      assert tensor.ndim == 3, tensor.shape
      return tensor
  
imports: import math
  import os
  import torch
  import weakref
  from functools import lru_cache
  from torch.utils._triton import has_triton
  from ._triton_ops_meta import get_meta
  from typing import Optional, Tuple
label_desc: Use image node_id 17 for calling a global function with example usage: as1Dbatch(tensor) and returns: tensor