docker image #2
Description
Hi,
I've created an docker image for easy testing on our GPU machines and I'm happy to share with you:
https://github.com/thorstenwagner/docker-deeppicker
https://hub.docker.com/r/thorstenwagner/docker-deeppicker/
However, if I try to run your picker I get the following error:
python autoPick.py --inputDir '/pre_calc/images/corrsum/' --pre_trained_model './trained_model/model_demo_type3' --mrc_number 10 --particle_size 256 --outputDir '/pre_calc/results' --coordinate_symbol '_cnnPick' --threshold 0.5
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:01:00.0
Total memory: 7.92GiB
Free memory: 7.80GiB
W tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x3173c40
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 1 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:02:00.0
Total memory: 7.92GiB
Free memory: 7.80GiB
W tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x380e010
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 2 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:03:00.0
Total memory: 7.92GiB
Free memory: 7.80GiB
W tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x3ea87d0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 3 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.7335
pciBusID 0000:04:00.0
Total memory: 7.92GiB
Free memory: 7.74GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 1 2 3
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y Y Y Y
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 1: Y Y Y Y
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 2: Y Y Y Y
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 3: Y Y Y Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)
I tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:1) -> (device: 1, name: GeForce GTX 1080, pci bus id: 0000:02:00.0)
I tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:2) -> (device: 2, name: GeForce GTX 1080, pci bus id: 0000:03:00.0)
I tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:3) -> (device: 3, name: GeForce GTX 1080, pci bus id: 0000:04:00.0)
/pre_calc/images/corrsum/TcdA1-0001_frames_sum.mrc
E tensorflow/stream_executor/cuda/cuda_dnn.cc:346] **Loaded cudnn library: 4008 but source was compiled against 4007. If using a binary install, upgrade your cudnn library to match. If building from sources, make sure the library loaded matches the version you specified during compile configuration.**
F tensorflow/core/kernels/conv_ops.cc:459] Check failed: stream->parent()->GetConvolveAlgorithms(&algorithms)
Aborted (core dumped)
I'm using cuda toolkit 7.5 and cudnn v4.
How can I recompile it?
Best,
Thorsten