TensorFlow > E tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded runtime CuDNN library: 4007 (compatibility version 4000) but source was compiled with 5103 (compatibility version 5100). > cuDNN v5.1インストールで解消

http://blog.brainpad.co.jp/entry/2016/02/25/153000
のコードを勉強中。

gpuの設定を自分が使うwith tf.device("/gpu:0"):に変更した。

実行すると以下のエラーがでた。

$ python sample02.py 
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so locally
Extracting MNIST_data/train-images-idx3-ubyte.gz
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:925] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 0 with properties: 
name: GeForce GTX 750 Ti
major: 5 minor: 0 memoryClockRate (GHz) 1.202
pciBusID 0000:01:00.0
Total memory: 2.00GiB
Free memory: 1.56GiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:972] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 0:   Y 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 750 Ti, pci bus id: 0000:01:00.0)
E tensorflow/stream_executor/cuda/cuda_dnn.cc:368] Loaded runtime CuDNN library: 4007 (compatibility version 4000) but source was compiled with 5103 (compatibility version 5100).  If using a binary install, upgrade your CuDNN library to match.  If building from sources, make sure the library loaded at runtime matches a compatible version specified during compile configuration.
F tensorflow/core/kernels/conv_ops.cc:526] Check failed: stream->parent()->GetConvolveAlgorithms(&algorithms) 
中止 (コアダンプ)

cuDNN 4を使うようにする、とあるが調査中。
https://github.com/tensorflow/tensorflow/issues/3079

PeterDrake commented on 1 Jul
Telling it to use cuDNN 4 did the trick! Thanks!

http://qiita.com/7of9/items/ccba0e0945b475cf1f3a
においてTensorFlow v0.8ではTensorBoardが表示されなかった。
TensorFlow v0.11に上げたことにより、CuDNNとの互換性が崩れたようだ。

CuDNNのバージョンを上げるか、上記リンクの対処をするか。

対策

http://qiita.com/7of9/items/b10d92ebe3e1f79f31c2
の記載の通りcuDNN v4をアンインストールして、cuDNN v5.1をインストールしたらエラーが出なくなった。