33d79d35b6cebf156f226a3c4c83e2d7d1053599,pytext/models/embeddings/word_embedding.py,WordEmbedding,__init__,#WordEmbedding#Any#Any#Any#Any#Any#Any#,97

Before Change

        // Create MLP layers
        self.mlp_layers = nn.ModuleList([])
        for next_dim in mlp_layer_dims or []:
            assert next_dim > 0
            self.mlp_layers.append(nn.Linear(embedding_dim, next_dim))
            embedding_dim = next_dim

    def __getattr__(self, name):

After Change

        self.word_embedding.weight.data[unk_token_idx].fill_(0.0)

        // Create MLP layers
        self.mlp = nn.Sequential(
            *(
                nn.Sequential(nn.Linear(m, n), nn.ReLU())
                for m, n in zip([embedding_dim] + list(mlp_layer_dims), mlp_layer_dims)
            )
        )

    def __getattr__(self, name):
        if name == "weight":
            return self.word_embedding.weight

Instances