使用Tensorflow 2.1.0加载CuDNNLSTM时出错，>

Question

我有：

from keras.layers import Input, LSTM, Dense, TimeDistributed, Activation, BatchNormalization, Dropout, Bidirectional
from keras.models import Sequential
from keras.utils import Sequence
from tensorflow.compat.v1.keras.layers import CuDNNLSTM

和

        self.model.add(CuDNNLSTM(lstm1_size, input_shape=(
            seq_length, feature_dim), return_sequences=True))
        # self.model.add(BatchNormalization())
        self.model.add(Dropout(0.2))
        self.model.add(CuDNNLSTM(lstm2_size, return_sequences=True))
        self.model.add(Dropout(0.2))
        self.model.add(CuDNNLSTM(lstm3_size, return_sequences=True))
        self.model.add(Dropout(0.2))
        self.model.add(CuDNNLSTM(lstm4_size, return_sequences=True))
        self.model.add(Dropout(0.2))
        self.model.add(Dense(feature_dim, activation='linear'))

但是我得到的错误是：

TypeError: The added layer must be an instance of class Layer. Found: <tensorflow.python.keras.layers.cudnn_recurrent.CuDNNLSTM object at 0x140869be0>

我有：从keras.layers导入keras。从keras.layers导入Input，LSTM，Dense，TimeDistributed，Activation，BatchNormalization，Dropout，Bidirectional。 [
您正在keras和tf.keras库之间混合导入，它们不是同一库，因此不支持这样做。 

Answer 1