code: def repeat_interleave(x: Tensor, dim: int, repeat: int) -> Tensor:
      """Repeat elements of a tensor.
  
      :param x:
          The input tensor.
      :param dim:
          The dimension along which to repeat values.
      :param repeat:
          The number of repetitions.
  
      :returns:
          The repeated tensor which has the same shape as input, except along the
          given axis.
  
      .. note::
          This is a lightweight version of :func:`torch.repeat_interleave` that
          is faster for repetitions along a single dimension.
      """
      if repeat == 1:
          return x
  
      shape = [-1] * (x.ndim + 1)
  
      if dim < 0:
          dim += x.ndim
  
      shape[dim + 1] = repeat
  
      return x.unsqueeze(dim + 1).expand(shape).flatten(dim, dim + 1)
  
label_desc: Use image node_id 1 for calling a global function with example usage: repeat_interleave(x, dim, repeat) and returns: x, x