gistfile1.txt

/root/.pm2/logs/shinobi-tensorflow-error.log last 15 lines:
2|shinobi- | 2020-08-21 13:59:56.472832: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10.0
2|shinobi- | 2020-08-21 13:59:56.475713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2|shinobi- | 2020-08-21 13:59:56.475876: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2|shinobi- | 2020-08-21 13:59:56.476388: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2|shinobi- | 2020-08-21 13:59:56.476794: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0
2|shinobi- | 2020-08-21 13:59:56.476848: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.0
2|shinobi- | 2020-08-21 13:59:56.533973: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2|shinobi- | 2020-08-21 13:59:56.534038: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]      0
2|shinobi- | 2020-08-21 13:59:56.534063: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1178] 0:   N
2|shinobi- | 2020-08-21 13:59:56.534266: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2|shinobi- | 2020-08-21 13:59:56.534736: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2|shinobi- | 2020-08-21 13:59:56.535167: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2|shinobi- | 2020-08-21 13:59:56.535566: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2|shinobi- | 2020-08-21 13:59:56.535689: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1304] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3688 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:04:00.0, compute capability: 6.1)
2|shinobi- | 2020-08-21 13:59:57.797523: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7

2|shinobi- | 2020-08-21 13:59:58.278650: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2|shinobi- | 2020-08-21 13:59:58.379798: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10.0
0|camera   | 2020-08-21T13:59:59-04:00 This Install of Shinobi is Activated
0|camera   | 2020-08-21T13:59:59-04:00 This License expires on undefined
0|camera   | 2020-08-21T13:59:59-04:00 [email protected] : Checking Disk Used..
0|camera   | 2020-08-21T13:59:59-04:00 [email protected] : /home/Shinobi/videos2/ : 0
0|camera   | 2020-08-21T13:59:59-04:00 Starting Monitors... Please Wait...
0|camera   | 2020-08-21T14:00:08-04:00 Orphaned Videos Found and Inserted : {"mitchross09gmailcom":{"GyMHvxU19P":1,"B8nmF8r28X":0,"qTsfwVylZW":0,"RsxyEC6v4o":1,"IfNaxEgMLO":0,"6Gnqufr8jz":0,"FOld5wD7PE":0,"FOld5wD7PE2":0}}
0|camera   | 2020-08-21T14:00:08-04:00 Shinobi is ready.
2|shinobi- | ============================
2|shinobi- | Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.
2|shinobi- | ============================