class_docstr: Architecture of VisionLAN
class_docstr_tok: ["Architecture","of","VisionLAN"]
code: def forward(self, feat, targets=None):
      if self.training:
          label_pos = targets[-2]
          text_pre, test_rem, text_mas, mask_map = self.MLM_VRM(
              feat, label_pos, self.training_step, train_mode=True
          )
          return text_pre, test_rem, text_mas, mask_map
      else:
          text_pre, x = self.MLM_VRM(
              feat, targets, self.training_step, train_mode=False
          )
          return text_pre, x
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn.initializer import Normal, XavierNormal
  import numpy
label_desc: Use image node_id 2 for calling the VLHead obj's underlying member method code with example usage: obj.forward(feat, targets) and returns: text_pre,  test_rem,  text_mas,  mask_map, text_pre,  x