code: def _concordant_element_sum(x: Tensor, y: Tensor, i: int) -> Tensor:
      """Count a total number of concordant pairs in a single sequence."""
      return (
          torch.logical_and(x[i] < x[(i + 1) :], y[i] < y[(i + 1) :])
          .sum(0)
          .unsqueeze(0)
      )
  
imports: from typing import List, Optional, Tuple, Union
  import torch
  from torch import Tensor
  from typing_extensions import Literal
  from torchmetrics.functional.regression.utils import _check_data_shape_to_num_outputs
  from torchmetrics.utilities.checks import _check_same_shape
  from torchmetrics.utilities.data import _bincount, _cumsum, dim_zero_cat
  from torchmetrics.utilities.enums import EnumStr
label_desc: Use image node_id 2 for calling a global function with example usage: _concordant_element_sum(x, y, i) and returns: torch