def init_embeddings(self):
print("\n!!!! init embeddings !!!!\n")
entity_embeddings_nparray = util.load_ent_vecs(self.args)
self.sess.run(self.entity_embedding_init,
feed_dict={
self.entity_embeddings_placeholder:
entity_embeddings_nparray
})
def init_embeddings(self):
print("\n!!!! init embeddings !!!!\n")
# read the numpy file
embeddings_nparray = np.load(config.base_folder +"data/tfrecords/" + self.language + "/" + self.args.experiment_name +
"/embeddings_array.npy")
self.sess.run(self.word_embedding_init, feed_dict={self.word_embeddings_placeholder: embeddings_nparray})
entity_embeddings_nparray = util.load_ent_vecs(self.args)
self.sess.run(self.entity_embedding_init, feed_dict={self.entity_embeddings_placeholder: entity_embeddings_nparray})