i run it on the same machine

I need to access to a tfrecord file
but with allegro i do not have access to the folder

does anyone know how this works with git ssh credentials?

i run it with docker mode

thanks

the parameter must be "imagenet". But when I print the parameter in my code it is imagenet without quotes. But tensorflow needs "imagenet"
I hope you understand what I mean

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?

clearml-agent --config-file /home/chuber/clearml.conf daemon --detached --gpus 1
--queue KA_ML2_GPU1 --docker nvidia/cuda:10.1-cudnn7-devel

i will use the 2. option
Does this mean that I need to create multiple ssh keys? 1 key for each user?

At the moment I try SSH.
I should have permission. what can I do?
git@rz-s-git: Permission denied (publickey,password).
fatal: Could not read from remote repository.
Please make sure you have the correct access rights
and the repository exists.

is there a better way instead of creating multiple ssh keys?

Is there a way how to fix it?

thank you for the information.
I am using the same GUI on 2 servers.
On both servers the following path did not exist:
/opt/trainsSo 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?

Now I ran docker-compose down
But the allegro server is still available.

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...

assert os.path.exists("path")
with this line I get the error that the path does not exist

i try to run the agent without docker. Without docker mode the path is available. But i need docker for tensorflow and cuda

AgitatedDove14
do I have to change a parameter in the config file to use .git-credentials?

sorry
I solved the mistake. there was a mistake in my file path and then the training could not be started

first i run it locally. This works. But then I use the clearML agent and then it does not work

i think there is a problem with docker. because i am in the docker container and I have to use volume mount to get access to paths outside the container.
But i dont know how to use volume mount exactly

yes

I thought that I had to open a new thread because the question was already longer ago

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?

thank you
it works now
you really helped me

it worked with trains-agent init

I still have access to the gui

CLEARML-AGENT configuration file

api {
# Notice: 'host' is the api server (default port 8008), not the web server.
api_server: http://192.168.40.210:8008
web_server: http://192.168.40.210:8080
files_server: http://192.168.40.210:8081
# Credentials are generated using the webapp, http://192.168.40:8080/profile
# Override with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY
credentials {"access_key": "XXXXXXXXXXXXXXXXXX", "secret_key": "XXXX...

but not with clearml-agent init

how can i check if it is loaded?