code: def loss(self, grid_pred, grid_targets):
      loss_fused = self.loss_grid(grid_pred["fused"], grid_targets)
      loss_unfused = self.loss_grid(grid_pred["unfused"], grid_targets)
      loss_grid = loss_fused + loss_unfused
      return dict(loss_grid=loss_grid)
  
file_path: insightface/detection/scrfd/mmdet/models/roi_heads/mask_heads/grid_head.py
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from mmcv.cnn import ConvModule, kaiming_init, normal_init
  from mmdet.models.builder import HEADS, build_loss
label_desc: Use image node_id 6 for calling the GridHead obj's underlying member method code with example usage: obj.loss(grid_pred, grid_targets) and returns: dict