Colab Kerastuner信息：tensorflow：从现有项目重新加载Oracle。/untitled_project/Oracle.json

我在Colab上使用kerastuner时遇到了一些问题。 这是我的代码：

def build_model(hp):
  input_ = Input(shape=(20,20,1))
  cnn_out1 = Conv2D(filters=16, kernel_size=hp.Int('kernel_size', 3, 7, step=2, default=3) , name='con1',
                    use_bias=True, activation = tf.nn.relu, kernel_regularizer=keras.regularizers.l2(0.01))(input_) 
# cnn_out1 = keras.layers.BatchNormalization(epsilon=1e-6)
  cnn_out = MaxPooling2D(pool_size=(2, 2))(cnn_out1)
  cnn_out = keras.layers.Flatten()(cnn_out)
  cnn_out = Dense(64, activation=tf.nn.relu, name='fc1', use_bias=True)(cnn_out)
  cnn_out = keras.layers.Dropout(0.5)(cnn_out)
  cnn_out = Dense(64, activation=tf.nn.relu, name='fc2', use_bias=True)(cnn_out)
#将CNN层命名为cnn_model供后期TimeDistributed调用
  cnn_model = Model(inputs=input_, outputs=cnn_out)
  cnn_model_map = Model(inputs=input_, outputs=cnn_out1)
# cnn_model.summary()
  input_seq = Input(shape=(time_seq, 20, 20, 1))
  processed_sequences = TimeDistributed(cnn_model)(input_seq)
# rnn_out = keras.layers.GRU(units=128, name='gru1', recurrent_dropout=0.5)(processed_sequences)
  rnn_out = keras.layers.GRU(units=128, name='gru1')(processed_sequences)
# rnn_out = keras.layers.LSTM(units=128, name='lstm1')(processed_sequences)
  rnn_out = keras.layers.Dropout(0.5)(rnn_out)
  predictions = Dense(6, activation='softmax', name='fc3')(rnn_out)
  rnn_model = Model(inputs = input_seq, outputs = predictions)
#rnn_model.summary()
  rnn_model.compile(loss='categorical_crossentropy', optimizer='Nadam', metrics=['accuracy'])
  return rnn_model
tuner = kt.Hyperband(
    build_model,
    objective = 'val_accuracy',
    max_epochs=10,
    hyperband_iterations=2
)
tuner.search(data, label_ohe, validation_split=0.1, epochs=30, shuffle='true', callbacks=[tf.keras.callbacks.EarlyStopping(patience=1)])

当我运行此代码时，我得到以下提示

INFO:tensorflow:Reloading Oracle from existing project ./untitled_project/oracle.json
INFO:tensorflow:Reloading Tuner from ./untitled_project/tuner0.json
INFO:tensorflow:Oracle triggered exit

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有人知道如何解决这个问题吗？

它告诉你这个项目已经存在。在tuner=kt.and中添加overwrite=True( 建立"大学模型",， 目标='val_准确性'， 最大纪元=10， 双曲线迭代次数=2 )