I use HiveOS for mining ALPH.
The miner sometimes gives error because of high overclock. The miner restarts mining progress. I dont want its restart. I want to see the error which gpu has.
How could it possible ? is there any code to write in extra config ?
I see the error code if i only watch the mining progress…
But there are so many rigs. ı cannot watch the progress. I only need the information which gpu has the problem.
Windows has an opiton to do it. The mining progress is being stopped at any error if I write “pause” to the next line of the bat file. For example:
t-rex.exe -a etchash -o stratum+ssl://etc-de.flexpool.io:5555 -u 0xbc1f6b39719f5d587de3ea90c67cd162c585b0cb -p x -w Z04
pause
But HiveOS stop the mining progress and restarts t-rex miner. I dont want to log of the miner progress as I use Flash disk. Stop mining and send notification at any error of the mining progress. So i can check the miner log and fix the problem.
20220916 14:40:20 [ OK ] 40/40 - 14.44 GH/s, 55ms … GPU #0
20220916 14:40:33 [ OK ] 41/41 - 14.44 GH/s, 47ms … GPU #2
20220916 14:40:41 TREX: Can’t find nonce with device [ID=4, GPU #4], cuda exception: CUDA_ERROR_LAUNCH_TIMEOUT, try to reduce overclock to stabilize GPU state
20220916 14:40:41 WARN: Miner is going to shutdown…
20220916 14:40:42 Main loop finished. Cleaning up resources…
20220916 14:40:42 ApiServer: stopped listening on 127.0.0.1:4059
20220916 14:40:44 T-Rex finished.t-rex exited (exitcode=0), waiting to cooldown a bit
Trying to release TIME_WAIT sockets:
tcp 0 0 127.0.0.1:33498 127.0.0.1:4059 TIME_WAIT
tcp 0 0 127.0.0.1:33478 127.0.0.1:4059 TIME_WAIT
tcp 0 0 127.0.0.1:33494 127.0.0.1:4059 TIME_WAIT
tcp 0 0 127.0.0.1:33482 127.0.0.1:4059 TIME_WAIT
tcp 0 0 127.0.0.1:33490 127.0.0.1:4059 TIME_WAIT
tcp 0 0 127.0.0.1:33486 127.0.0.1:4059 TIME_WAIT20220916 14:40:48 T-Rex NVIDIA GPU miner v0.26.5 - [Linux]
20220916 14:40:48 r.b70faa49dd35
20220916 14:40:48
20220916 14:40:48
20220916 14:40:48 NVIDIA Driver v510.60.02
20220916 14:40:48
20220916 14:40:48 + GPU #0: [00:03.0|2204] GeForce RTX 3090, 24268 MB
20220916 14:40:48 + GPU #1: [00:04.0|2204] GeForce RTX 3090, 24268 MB
20220916 14:40:48 + GPU #2: [00:05.0|2204] GeForce RTX 3090, 24268 MB
20220916 14:40:48 + GPU #3: [00:06.0|2204] GeForce RTX 3090, 24268 MB
20220916 14:40:48 + GPU #4: [00:08.0|2204] GeForce RTX 3090, 24268 MB
20220916 14:40:48 + GPU #5: [00:09.0|2204] GeForce RTX 3090, 24268 MB