code: def top_k_accuracy(input:Tensor, targs:Tensor, k:int=5)->Rank0Tensor:
      "Computes the Top-k accuracy (target is in the top k predictions)."
      input = input.topk(k=k, dim=-1)[1]
      targs = targs.unsqueeze(dim=-1).expand_as(input)
      return (input == targs).max(dim=-1)[0].float().mean(f top_k_accuracy(input:Tensor, targs:Tensor, k:int=5)->Rank0Tensor:
      "Computes the Top-k accuracy (target is in the top k predictions)."
      input = input.topk(k=k, dim=-1)[1]
      targs = targs.unsqueeze(dim=-1).expand_as(input)
      return (input == targs).max(dim=-1)[0].float().mean()
docs: Computes the Top-k accuracy (target is in the top k predictions).