weights=[embedding_matrix],)(inputs)
heart = Bidirectional(CuDNNLSTMrnn\base_rnn.py", line 282, in _use_input_spec_as_call_signatureAttributeError: 'CuDNNLSTM
Please use tf.keras.layers.CuDNNLSTM for better performance on GPU.但是,当我将图层更改为tf.keras.layers.CuDNNLSTM时,我得到错误消息Tensorflow版本为2.0.0-alpha0,Keras版本为2.2.4-t
ValueError: CuDNNGRU is not compatible with GRU(reset_after=False)
如果使用CuDNNLSTM,也会出现类似的错误。ValueError: CuDNNLSTM is not compatible with LSTM(reset_after=False)