Python 输入Dim与层lstm_3不兼容

当我添加超过1个LSTM层时，它会给我一个错误，即

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“输入0与层lstm_6不兼容：预期ndim=3，发现ndim=2”

据我所见，在参数中添加return_sequences=True时，您的模式应该运行良好。如果我是你，我会试着检查嵌入层的输出是否为3级。@ChompakornCChaichot，我知道了。谢谢

x_train (11712, 131)
y_train (11712, 3)

x_test (2928, 131)
y_test_oh (2928, 3)

embedding_layer = Embedding(vocab_size, W2V_SIZE, weights=[embedding_matrix], 
input_length=SEQUENCE_LENGTH, trainable=False)

model = Sequential()
model.add(embedding_layer)
model.add(Dropout(0.5))
model.add(LSTM(32, dropout=0.2, recurrent_dropout=0.2,return_sequences=True ))
model.add(Dense(3, activation='softmax'))

model.summary()