
Reputation
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39 × Eureka!thank you for the information.
I am using the same GUI on 2 servers.
On both servers the following path did not exist:/opt/trains
So I could not stop allegro.
I run the commands on 1 server to upgrade it. But on the gui there is still the old version.
Does anyone know how I can proceed?
The scripts are all in the git repo.
But still the same problem.
I use os.system.
Is there a better way to call the other python script?
Now I ran docker-compose down
But the allegro server is still available.
Thank you for the answer.
I have 2 different cuda versions.
I need tensorflow 2.2, 2.3, 2.4, 2.5.
For tensorflow 2.2 i need cuda 10.1
But for tensorflow 2.4 i need for example cuda 11.0
https://www.tensorflow.org/install/source#gpu .
For docker I use for example: --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
Then tensorflow 2.4 no longer works because tensorflow 2.4 requires cuda 11 and not cuda 10.1
Does anyone have any idea?
I can also pass 2 different docker images?
I removed the trains.conf
first line:
TRAINS Task: overwriting (reusing) task id=8ce7a396ae8c4a14b22186a48ade5d91
i try to run the agent without docker. Without docker mode the path is available. But i need docker for tensorflow and cuda
thanks.
i tried 1.0.4rc0 but get the same error.
Output from allegro:
2021-06-01 15:51:59.984367: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2021-06-01 15:52:00.019168: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3399905000 Hz
2021-06-01 15:52:00.683090: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2021-06...