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今天我在运行keras版本的cnn rnn classifier的时候，报了如下的错误：
totalMemory: 10.91GiB freeMemory: 10.20GiB
2018-05-08 21:27:29.962822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0
2018-05-08 21:27:30.176092: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-05-08 21:27:30.176127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929] 0
2018-05-08 21:27:30.176135: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0: N
2018-05-08 21:27:30.176364: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 9868 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0, compute capability: 6.1)
2018-05-08 21:27:32.141585: E tensorflow/stream_executor/cuda/cuda_dnn.cc:455] could not create cudnn handle: CUDNN_STATUS_NOT_INITIALIZED
2018-05-08 21:27:32.141664: E tensorflow/stream_executor/cuda/cuda_dnn.cc:463] possibly insufficient driver version: 384.130.0
2018-05-08 21:27:32.141682: F tensorflow/core/kernels/conv_ops.cc:713] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)
Aborted (core dumped)
百思不得其解，查了很多资料都行不通，我的环境是cuda 9.0,ubuntu 16.04，然后我看到cudnn错误的地方好像跟cudnn有关，我的cuda是9.0,于是下载了一个cudnn 7.0,
tar zxvf cudnn-9.0-linux-x64-v7.tgz
sudo cp cuda/include/cudnn.h /usr/local/cuda/include
sudo cp cuda/lib64/* /usr/local/cuda/lib64
然后发现程序能够正常的运行了，我分析这可能是我在更新cuda后，忘记把cudnn也更新到7.0引起的，我这里记录下来，希望帮助到大家。
参考文献
[1].cuDNN.https://blog.csdn.net/guoyunfei20/article/details/78191599
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发表于 2019-2-9 20:54:14
