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An error ocurred while starting the kernel #84

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JonaGanz opened this issue May 20, 2020 · 0 comments
Open

An error ocurred while starting the kernel #84

JonaGanz opened this issue May 20, 2020 · 0 comments

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@JonaGanz
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Hi everyone,

I'm getting the following error when I try to run the train_frcnn.py.

An error ocurred while starting the kernel:

2020󈚩󈚸 10:51:38.129473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll 2020󈚩󈚸 10:52:11.766073: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll 2020󈚩󈚸 10:52:11.890873: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P4000 major: 6 minor: 1 memoryClockRate(GHz): 1.48 pciBusID: 0000:21:00.0 2020󈚩󈚸 10:52:11.890873: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll 2020󈚩󈚸 10:52:11.890873: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll 2020󈚩󈚸 10:52:11.890873: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_100.dll 2020󈚩󈚸 10:52:11.890873: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_100.dll 2020󈚩󈚸 10:52:11.906473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_100.dll 2020󈚩󈚸 10:52:11.906473: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_100.dll 2020󈚩󈚸 10:52:11.922073: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll 2020󈚩󈚸 10:52:11.922073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020󈚩󈚸 10:52:11.922073: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 2020󈚩󈚸 10:52:11.937673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: Quadro P4000 major: 6 minor: 1 memoryClockRate(GHz): 1.48 pciBusID: 0000:21:00.0 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_100.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll 2020󈚩󈚸 10:52:11.937673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 2020󈚩󈚸 10:52:12.639673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix: 2020󈚩󈚸 10:52:12.639673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165] 0 2020󈚩󈚸 10:52:12.639673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0: N 2020󈚩󈚸 10:52:12.639673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7300 MB memory) ‑> physical GPU (device: 0, name: Quadro P4000, pci bus id: 0000:21:00.0, compute capability: 6.1)

I tried to search for the Issue but didn't really find anything that helpt me. I can't even tell where exactly the problem is because my graphics card seems to be detected.
I'm using Tensorflow 1.15.0 and Keras 2.3.1.

Thanks for your help.

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