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I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcurand.so locally
[2016-11-09 21:26:21,415] Making new env: InvertedPendulum-v1
True action space: [-3.], [ 3.]
True state space: [-inf -inf -inf -inf], [ inf inf inf inf]
Filtered action space: [-1.], [ 1.]
Filtered state space: [-inf -inf -inf -inf], [ inf inf inf inf]
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:936] 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:944] Found device 0 with properties:
name: GeForce GTX 1080
major: 6 minor: 1 memoryClockRate (GHz) 1.8095
pciBusID 0000:01:00.0
Total memory: 7.92GiB
Free memory: 7.63GiB
I tensorflow/core/common_runtime/gpu/gpu_device.cc:965] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_device.cc:975] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:1034] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080, pci bus id: 0000:01:00.0)
[2016-11-09 21:26:22,910] Clearing 2 monitor files from previous run (because force=True was provided)
[2016-11-09 21:26:22,911] Starting new video recorder writing to /home/cuiyi/DDPG/experiments/InvertedPendulum-v1/openaigym.video.0.5383.video000000.mp4
Segmentation fault (core dumped)
Hi,when I run the "python gym_ddpg.py",there always exit the issue about"Segmentation fault (core dumped)"
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