class_docstr: Pop is an fundamental model that always recommend the most popular item.
code: def full_sort_predict(self, interaction):
      batch_user_num = interaction[self.USER_ID].shape[0]
      result = self.item_cnt.to(torch.float64) / self.max_cnt.to(
          torch.float64
      )
      result = torch.repeat_interleave(
          result.unsqueeze(0), batch_user_num, dim=0
      )
      return result.view(-1)
  
file_path: RecBole/recbole/model/general_recommender/pop.py
imports: import torch
  from recbole.model.abstract_recommender import GeneralRecommender
  from recbole.utils import InputType, ModelType
label_desc: Use image node_id 5 for calling the Pop obj's underlying member method code with example usage: obj.full_sort_predict(interaction) and returns: result