3bc7e38ed98f3b7a13fcee2726ec38b27e5c4e1b,onmt/Models.py,Encoder,__init__,#Encoder#Any#Any#Any#,36

Before Change

        self.multiattn = nn.ModuleList([onmt.modules.MultiHeadedAttention(8, self.hidden_size) for _ in range(self.layers)])
        self.linear_out = nn.ModuleList([BLinear(self.hidden_size, 2*self.hidden_size) for _ in range(self.layers)])
        self.linear_final = nn.ModuleList([BLinear(2*self.hidden_size, self.hidden_size) for _ in range(self.layers)])

        self.layer_norm = nn.ModuleList([BLayerNorm(self.hidden_size) for _ in range(self.layers)])

After Change

        super(Encoder, self).__init__()
        self.dropout = nn.Dropout(p=opt.dropout)
        
        // Word embeddings.
        self.word_lut = nn.Embedding(dicts.size(),
                                     opt.word_vec_size,

Instances