code: def _validate_structured_pruning(t):
      r"""Validate that the tensor to be pruned is at least 2-Dimensional.
  
      Validation helper to check that the tensor to be pruned is multi-
      dimensional, such that the concept of "channels" is well-defined.
  
      Args:
          t (torch.Tensor): tensor representing the parameter to prune
  
      Raises:
          ValueError: if the tensor `t` is not at least 2D.
      """
      shape = t.shape
      if len(shape) <= 1:
          raise ValueError(
              "Structured pruning can only be applied to "
              "multidimensional tensors. Found tensor of shape "
              f"{shape} with {len(shape)} dims"
          )
  
imports: import numbers
  from abc import ABC, abstractmethod
  from collections.abc import Iterable
  from typing import Tuple
  import torch
label_desc: Use image node_id 12 for calling a global function with example usage: _validate_structured_pruning(t) without return types