docstr: calculate the probability of Repeat and explore
docstr_tok: ["calculate","the","probability","of","Repeat","and","explore"]
code: def forward(self, all_memory, last_memory):
      """
      calculate the probability of Repeat and explore
      """
      all_memory_values = all_memory
  
      all_memory = self.dropout(self.Ure(all_memory))
  
      last_memory = self.dropout(self.Wre(last_memory))
      last_memory = last_memory.unsqueeze(1)
      last_memory = last_memory.repeat(1, self.seq_len, 1)
  
      output_ere = self.tanh(all_memory + last_memory)
  
      output_ere = self.Vre(output_ere)
      alpha_are = nn.Softmax(dim=1)(output_ere)
      alpha_are = alpha_are.repeat(1, 1, self.hidden_size)
      output_cre = alpha_are * all_memory_values
      output_cre = output_cre.sum(dim=1)
  
      output_cre = self.Wcre(output_cre)
  
      repeat_explore_mechanism = nn.Softmax(dim=-1)(output_cre)
  
      return repeat_explore_mechanism
  
imports: import torch
  from torch import nn
  from torch.nn import functional
  from torch.nn.init import xavier_normal_, constant_
  from recbole.model.abstract_recommender import SequentialRecommender
  from recbole.utils import InputType
label_desc: Use image node_id 2 for calling the Repeat_Explore_Mechanism obj's underlying member method code with example usage: obj.forward(all_memory, last_memory) and returns: repeat_explore_mechanism