it shows Segmentation fault (core dumped) after 10 iterations

[zhongkeshuanghe]

2019-08-02 02:18:35.623360: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudart.so.10.0'; dlerror: libcudart.so.10.0: cannot open s hared object file: No such file or directory 2019-08-02 02:18:35.623434: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcublas.so.10.0'; dlerror: libcublas.so.10.0: cannot open s hared object file: No such file or directory 2019-08-02 02:18:35.623505: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcufft.so.10.0'; dlerror: libcufft.so.10.0: cannot open sha red object file: No such file or directory 2019-08-02 02:18:35.623560: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcurand.so.10.0'; dlerror: libcurand.so.10.0: cannot open s hared object file: No such file or directory 2019-08-02 02:18:35.623624: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusolver.so.10.0'; dlerror: libcusolver.so.10.0: cannot op en shared object file: No such file or directory 2019-08-02 02:18:35.623686: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcusparse.so.10.0'; dlerror: libcusparse.so.10.0: cannot op en shared object file: No such file or directory 2019-08-02 02:18:35.623750: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcudnn.so.7'; dlerror: libcudnn.so.7: cannot open shared ob ject file: No such file or directory 2019-08-02 02:18:35.623768: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1663] Cannot dlopen some GPU libraries. Skipping registering GPU devices... 2019-08-02 02:18:35.624180: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-08-02 02:18:35.723627: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1005] successful NUMA node read from SysFS had negative value (-1), but there must be at least o ne NUMA node, so returning NUMA node zero 2019-08-02 02:18:35.724424: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564b519a8e50 executing computations on platform CUDA. Devices: 2019-08-02 02:18:35.724468: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Tesla V100-SXM2-16GB, Compute Capability 7.0 2019-08-02 02:18:35.727145: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz 2019-08-02 02:18:35.727827: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564b514d92b0 executing computations on platform Host. Devices: 2019-08-02 02:18:35.727870: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): , 2019-08-02 02:18:35.727997: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-08-02 02:18:35.728024: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187]
2019-08-02 02:18:36.257449: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu _global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilat ion_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. start episode ... XBTUSD_5m_16000_train.csv at 7963 Tick: 8000/ Portfolio (krw-won): 984243.3935784912 Long: 3/ Short: 7 Tick: 8100/ Portfolio (krw-won): 936529.4092928643 Long: 12/ Short: 21 Tick: 8200/ Portfolio (krw-won): 915573.1424759856 Long: 22/ Short: 35 Tick: 8300/ Portfolio (krw-won): 862624.4792269642 Long: 35/ Short: 45 Tick: 8400/ Portfolio (krw-won): 878349.9144196685 Long: 49/ Short: 52 Tick: 8500/ Portfolio (krw-won): 863488.3085565092 Long: 60/ Short: 61 Tick: 8600/ Portfolio (krw-won): 776054.9662000438 Long: 71/ Short: 72 Tick: 8700/ Portfolio (krw-won): 763382.4955556361 Long: 82/ Short: 83 Tick: 8800/ Portfolio (krw-won): 734898.3695485827 Long: 90/ Short: 92 Tick: 8900/ Portfolio (krw-won): 685093.6483718295 Long: 103/ Short: 98 Segmentation fault (core dumped)

Any idea?