Core Dumped/Kernel Shut down

[emilee...@gmail.com]

Hello :)

I am trying to run a simple MNIST example using keras. The code I found is directly taken from online at https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py

When running this on jupyter-notebook it tries to do the first epoch then a pop says the kernel has died and will restart, and it never runs again.

When running this code in the terminal the following output appears during the epoch run time:

Epoch 1/12

2018-03-02 15:07:31.693371: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA

2018-03-02 15:07:31.770186: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

2018-03-02 15:07:31.770453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] Found device 0 with properties: 

name: GeForce GTX 960M major: 5 minor: 0 memoryClockRate(GHz): 1.176

pciBusID: 0000:01:00.0

totalMemory: 3.95GiB freeMemory: 3.38GiB

2018-03-02 15:07:31.770471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1312] Adding visible gpu devices: 0

2018-03-02 15:07:32.271403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:993] Creating TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3106 MB memory) -> physical GPU (device: 0, name: GeForce GTX 960M, pci bus id: 0000:01:00.0, compute capability: 5.0)

2018-03-02 15:07:33.138197: E tensorflow/stream_executor/cuda/cuda_dnn.cc:378] Loaded runtime CuDNN library: 7101 (compatibility version 7100) but source was compiled with 7004 (compatibility version 7000).  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.

2018-03-02 15:07:33.139061: F tensorflow/core/kernels/conv_ops.cc:717] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms) 

Aborted (core dumped)

And it jumps out of the python shell.

Any advice to why this would happen would be great, or how to fix it. I am assuming its something to do with the graphics card/tensorflow installation

Thanks :)

[Daπid]

The traceback tells you exactly what is wrong:

2018-03-02 15:07:33.138197: E tensorflow/stream_executor/cuda/cuda_dnn.cc:378] Loaded runtime CuDNN library: 7101 (compatibility version 7100) but source was compiled with 7004 (compatibility version 7000).  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.

You have installed cudnn 7.1, but TF was built against 7.0. Either downgrade cudnn, or rebuild TF in your setup.

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