code: def _get_fp(y_pred, y_true):
      """
      args:
          y_true : 3-d ndarray in [batch_size, img_rows, img_cols]
          y_pred : 3-d ndarray in [batch_size, img_rows, img_cols]
      return [float] false_positive
      """
      return torch.sum((1 - y_true) * y_pred).float()
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 4 for calling a global function with example usage: _get_fp(y_pred, y_true) and returns: torch