code: def forward(
      self,
      body_feats,
      rois,
      rois_num,
      inputs,
      targets=None,
      bbox_feat=None,
      feat_func=None,
  ):
      if self.training:
          return self.forward_train(
              body_feats, rois, rois_num, inputs, targets, bbox_feat
          )
      else:
          im_scale = inputs["scale_factor"]
          return self.forward_test(
              body_feats, rois, rois_num, im_scale, feat_func
          )
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import KaimingNormal
  from ppdet.core.workspace import register, create
  from ppdet.modeling.layers import ConvNormLayer
  from .roi_extractor import RoIAlign
  from ..cls_utils import _get_class_default_kwargs
label_desc: Use image node_id 6 for calling the MaskHead obj's underlying member method code with example usage: obj.forward(body_feats, rois, rois_num, inputs, targets, bbox_feat, feat_func) and returns: self, self