Comments (2)
snowzach
commented on July 27, 2024
1
Hey @deepcoder it's probably working. It has to "compile" something for the GPU you are using. I am not sure what exactly it is doing but on my GTX970, it will take a good 2-3 minutes before it starts working. (It's working and ready when it says "API Listening") I guess this is somewhat normal. It's pretty annoying though. I hope I can eventually get it sorted out and have it run faster.
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deepcoder
commented on July 27, 2024
Thanks for your reply. You are correct! Patience is a virtue and bigger is not always faster 970 vs 1070 ;-) it took almost 10 minutes for my config to initialize the model.
Log below, ignore the model config name of "edgetpu", I am sliding a different directory underneath HA's configuration.yaml so I can switch between the Coral and GTX 1070
,2020-11-03 06:53:42.753568: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
,2020-11-03 06:53:42.753599: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
,2020-11-03 06:53:42.753723: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
,2020-11-03 06:53:42.754355: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
,2020-11-03 06:53:42.755236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1686] Adding visible gpu devices: 0
,2020-11-03 06:53:42.755328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1085] Device interconnect StreamExecutor with strength 1 edge matrix:
,2020-11-03 06:53:42.755371: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1091] 0
,2020-11-03 06:53:42.755390: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1104] 0: N
,2020-11-03 06:53:42.755523: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
,2020-11-03 06:53:42.756020: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:982] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
,2020-11-03 06:53:42.756706: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1230] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7220 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1070, pci bus id: 0000:06:00.0, compute capability: 6.1)
,2020-11-03T06:53:42.881Z INFO tensorflow/tensorflow.go:259 Detection Complete {"package": "detector.tensorflow", "name": "edgetpu", "id": "", "duration": 0.103930269, "detections": 0}
,2020-11-03T06:53:42.881Z INFO server/server.go:138 HTTP Request {"status": 200, "took": 0.137886125, "request": "/detect", "method": "POST", "package": "server.request", "request-id": "668518e45e16/MZ2smQsWao-000334", "remote": "192.168.2.242:42768"}
,
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Related Issues (20)
- Expected memory / log rotate? HOT 1
- Label variable in DOODS intergration doco for HA HOT 4
- REALLY slow performance with Arm H3 HOT 14
- Updating Tensorflow version HOT 5
- Text/Labels appear too small in 4K camera HOT 1
- Dog detected as a person HOT 1
- Fails to initialize edgetpu in Docker on Synology HOT 12
- https HOT 3
- coral usb accelerator HOT 1
- Feature request: Angle of the area Lines HOT 6
- Run with Jetson Nano and got platform error HOT 2
- Detecting Eggs HOT 7
- Green and glitches HOT 2
- DOODS with Node-RED HOT 1
- Custom model returns Invalid Graphdef HOT 10
- [FR] option to convert images to black and white before inference. HOT 10
- Can't do docker build on RPi3b HOT 3
- dlerror: libcuda.so.1: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: HOT 7
- How could i implement my own database? HOT 2
- How do you build a new model HOT 1
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