code: def take_last(a: torch.Tensor, dim: int, num: int) -> torch.Tensor:
      """
      Take last elements from a given tensor along a given dimension.
  
      Parameters
      ----------
      a
          Original tensor to slice.
      dim
          Dimension to slice over.
      num
          Number of trailing elements to retain (non-negative).
  
      Returns
      -------
      torch.Tensor
          A tensor with the same size as the input one, except dimension
          ``dim`` which has length equal to ``num``.
      """
      assert num >= 0
      return slice_along_dim(a, dim, slice(a.shape[dim] - num, None))
  
file_path: gluonts/src/gluonts/torch/util.py
imports: from typing import List, Optional, Type, Union
  import inspect
  import torch
label_desc: Use image node_id 8 for calling a global function with example usage: take_last(a, dim, num) and returns: slice_along_dim