code: def repeat_along_dim(
      a: torch.Tensor, dim: int, repeats: int
  ) -> torch.Tensor:
      """
      Repeat a tensor along a given dimension, using ``torch.repeat`` internally.
  
      Parameters
      ----------
      a
          Original tensor to repeat.
      dim
          Dimension to repeat data over.
      repeats
          How many time to repeat the input tensor.
  
      Returns
      -------
      torch.Tensor
          A tensor with the same size as the input one, except dimension
          ``dim`` which is multiplied by ``repeats``.
      """
      if repeats == 1:
          return a
      r = [1] * len(a.shape)
      r[dim] = repeats
      return a.repeat(*r)
  
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 6 for calling a global function with example usage: repeat_along_dim(a, dim, repeats) and returns: a, a