2932118d87e4ada42a68f94743d00e1431d3ee69,python/baseline/tf/lm/model.py,BasicLanguageModel,create,#Any#Any#,114

Before Change

        with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE, initializer=weight_initializer):

            all_embeddings_out = []
            for embedding in lm.embeddings.values():
                embeddings_out = embedding.encode()
                all_embeddings_out.append(embeddings_out)

After Change

        with tf.variable_scope(tf.get_variable_scope(), reuse=tf.AUTO_REUSE, initializer=weight_initializer):

            inputs = lm.embed()
            lm.layers = kwargs.get("layers", 1)
            lm.decode(inputs, embeddings[lm.tgt_key].vsz)
            return lm

Instances