code: def calculate_logits(self, joint_embedding: torch.Tensor, **kwargs):
      return self.classifier(joint_embedding)
  
imports: import copy
  from typing import Any, Dict, List, Optional, Tuple
  import omegaconf
  import torch
  from mmf.common.registry import registry
  from mmf.models.base_model import BaseModel
  from mmf.modules.embeddings import PreExtractedEmbedding, TextEmbedding, TwoBranchEmbedding
  from mmf.modules.layers import BranchCombineLayer, ClassifierLayer
  from mmf.utils.build import build_image_encoder
  from mmf.utils.general import filter_grads
  from omegaconf import DictConfig
label_desc: Use image node_id 19 for calling the MoVieMcan obj's underlying member method code with example usage: obj.calculate_logits(joint_embedding) and returns: self