Title: docker image · Issue #2 · nejyeah/DeepPicker-python · GitHub
Open Graph Title: docker image · Issue #2 · nejyeah/DeepPicker-python
X Title: docker image · Issue #2 · nejyeah/DeepPicker-python
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 ru...
Open Graph 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/do...
X 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/thorstenw...
Opengraph URL: https://github.com/nejyeah/DeepPicker-python/issues/2
X: @github
Domain: patch-diff.githubusercontent.com
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"docker image","articleBody":"Hi,\r\n\r\nI've created an docker image for easy testing on our GPU machines and I'm happy to share with you:\r\nhttps://github.com/thorstenwagner/docker-deeppicker\r\nhttps://hub.docker.com/r/thorstenwagner/docker-deeppicker/\r\n\r\nHowever, if I try to run your picker I get the following error:\r\n```\r\npython 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 \r\nI tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally\r\nI tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally\r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: \r\nname: GeForce GTX 1080\r\nmajor: 6 minor: 1 memoryClockRate (GHz) 1.7335\r\npciBusID 0000:01:00.0\r\nTotal memory: 7.92GiB\r\nFree memory: 7.80GiB\r\nW tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x3173c40\r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 1 with properties: \r\nname: GeForce GTX 1080\r\nmajor: 6 minor: 1 memoryClockRate (GHz) 1.7335\r\npciBusID 0000:02:00.0\r\nTotal memory: 7.92GiB\r\nFree memory: 7.80GiB\r\nW tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x380e010\r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 2 with properties: \r\nname: GeForce GTX 1080\r\nmajor: 6 minor: 1 memoryClockRate (GHz) 1.7335\r\npciBusID 0000:03:00.0\r\nTotal memory: 7.92GiB\r\nFree memory: 7.80GiB\r\nW tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x3ea87d0\r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 3 with properties: \r\nname: GeForce GTX 1080\r\nmajor: 6 minor: 1 memoryClockRate (GHz) 1.7335\r\npciBusID 0000:04:00.0\r\nTotal memory: 7.92GiB\r\nFree memory: 7.74GiB\r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 1 2 3 \r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y Y Y Y \r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 1: Y Y Y Y \r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 2: Y Y Y Y \r\nI tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 3: Y Y Y Y \r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:0) -\u003e (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)\r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:1) -\u003e (device: 1, name: GeForce GTX 1080, pci bus id: 0000:02:00.0)\r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:2) -\u003e (device: 2, name: GeForce GTX 1080, pci bus id: 0000:03:00.0)\r\nI tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:3) -\u003e (device: 3, name: GeForce GTX 1080, pci bus id: 0000:04:00.0)\r\n/pre_calc/images/corrsum/TcdA1-0001_frames_sum.mrc\r\nE 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.**\r\nF tensorflow/core/kernels/conv_ops.cc:459] Check failed: stream-\u003eparent()-\u003eGetConvolveAlgorithms(\u0026algorithms) \r\nAborted (core dumped)\r\n```\r\n\r\nI'm using cuda toolkit 7.5 and cudnn v4.\r\n\r\nHow can I recompile it?\r\n\r\nBest,\r\nThorsten\r\n","author":{"url":"https://github.com/thorstenwagner","@type":"Person","name":"thorstenwagner"},"datePublished":"2017-12-07T07:32:41.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/2/DeepPicker-python/issues/2"}
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