CuDNNLSTM: UnknownError: Fail to find the dnn implementation

问题

I have run the model with LSTM as the first layer successfully. But out of curiosity, I replace LSTM with CuDNNLSTM. But after model.fit, it replied the following error message:

UnknownError: Fail to find the dnn implementation.
    [[{{node cu_dnnlstm_5/CudnnRNN}} = CudnnRNN[T=DT_FLOAT, _class=["loc:@training_2/Adam/gradients/cu_dnnlstm_5/CudnnRNN_grad/CudnnRNNBackprop"], direction="unidirectional", dropout=0, input_mode="linear_input", is_training=true, rnn_mode="lstm", seed=87654321, seed2=0, _device="/job:localhost/replica:0/task:0/device:GPU:0"](cu_dnnlstm_5/transpose, cu_dnnlstm_5/ExpandDims_1, cu_dnnlstm_5/ExpandDims_1, cu_dnnlstm_5/concat_1)]]
    [[{{node metrics_3/mean_squared_error/Mean_1/_1877}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_4852_metrics_3/mean_squared_error/Mean_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

I have tried TestCudnnLSTM() on this discussion and pass the test successfully:

Keras version: 2.2.4
Tensorflow version: 1.12.0
Creating Model
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
cu_dnnlstm_1 (CuDNNLSTM)     (None, 1000, 1)           16        
=================================================================
Total params: 16
Trainable params: 16
Non-trainable params: 0
_________________________________________________________________
None
Model compiled

It seems that the problem appears during model fitting. But I don't know exactly what is the problem?

回答1:

For TensorFlow v2, one solution would be -

import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
tf.config.experimental.set_memory_growth(physical_devices[0], enable=True)

Then you can use keras model too -

from tensorflow.keras.models import Model

Documentation

This solution worked for me, it enables memory growth for only one GPU.

回答2:

If you're getting this error while fitting Keras NN put this code on your import

from keras.backend.tensorflow_backend import set_session
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
set_session(sess)

credit

回答3:

I had the same issue , when I updated tensorflow to 1.12. Error got resolved after updating my CuDNN verstion to 7.5 from 7. I followed the steps mentioned in the below url for updating the CuDNN version (Note: The steps mentioned in the link are for installing CUDNN , but the same is applicable for update as well)

https://jhui.github.io/2017/09/07/AWS-P2-CUDA-CuDNN-TensorFlow/

回答4:

Make sure you have the proper Nvidia driver version for the version of CUDA you are using. You can check it out here. https://docs.nvidia.com/deploy/cuda-compatibility/index.html#binary-compatibility

I'm using CUDA 9.0, but was using Nvidia driver less than 384.81. Updating the Nvidia driver to a newer one fixed the problem for me.

回答5:

In tensorflow 2.0 i got the same error while running RNN LSTM model.The reason was due to lower version of my cuDNN.In the tensorflow gpu requirements page it was recommended to have

cuDNN SDK >= 7.4.1.

You can refer for more details in https://www.tensorflow.org/install/gpu

Asked in Tensorflow Reddit forum

https://www.reddit.com/r/tensorflow/comments/dxnnq2/i_am_getting_an_error_while_running_the_rnn_lstm/?utm_source=share&utm_medium=web2x

来源：https://stackoverflow.com/questions/54473254/cudnnlstm-unknownerror-fail-to-find-the-dnn-implementation

标签

lstm

cudnn