如果要在嵌入"层上设置权重，可以将其添加到构造函数中，如下所示:

If you want to set the weights on Embedding layers you might add them to the constructor like this:

from keras.layers import Embedding

embedding_layer = Embedding(len(word_index) + 1,
                            EMBEDDING_DIM,
                            weights=[embedding_matrix],
                            input_length=MAX_SEQUENCE_LENGTH,
                            trainable=False)

https://blog .keras.io/using-pre-trained-word-embeddings-in-a-keras-model.html

稍后，您可以移交merge_ip:

x = embedding_layer(merge_ip)