AgitatedDove14 When I did trains-agent init it says there's already an init file, and when I open it it begins with # TRAINS SDK configuration file and it looks a little bit different than the config file you sent, how should I play this?

AgitatedDove14 Quick update: Apparently the base (template) code we run (with the main model) which were 2 weeks ago ~ 1 month ago, it did show installed packages but now it doesn't. Nothing changed in trains settings / trains-server settings so I wonder what could cause that?

AgitatedDove14 I write the docker-compose up for trains-server inside my server.
On my server I run my own docker (that contains all my code and my packages) and also there I do the trains-agent daemon --gpus all command.

How can I make the trains-agent run the python that I normally run? (located in /home/user/miniconda/envs/36/bin/python )
I tried editing the trains-agent conf and changed python_binary=/home/user/miniconda/envs36/bin/python but it didn't...

Which panel?
https://demoapp.trains.allegro.ai/workers-and-queues/workers

My screen is the same as this one (except in the available workers I only have trains-services)

AgitatedDove14 Sadly I can not send the console log because it is on a different computer (and on a different, closed network). But in the log it is able to clone the repository, executing the right py file and then crashes on the line with I import trains.

The experiment has no packages identified under installed packages. So obviously that is the problem but as I've stated in my previous comment I am trying to link it to run on /home/user/miniconda/envs36/bin/python , or am I missin...

AgitatedDove14 So I managed to get trains-agent to access the git but now I'm facing another issue:

The trains-server is running on a remote server (which I ssh to), on that server I have my own docker which is where I write the code, and also on this docker I do trains-agent commands
Now the trains-agent is running my code but it is unable to import trains inside the code (and potentially more packages).

Any idea?
On the server I have both python (2.7) and python3,...

I manually sent one to queue, then it started running but failed and appearantly, the trains can't access my git repository
I tried docker-compose -f down, doing
export TRAINS_AGENT_GIT_USER=(my_user) export TRAINS_AGENT_GIT_PASS=(my_pass)and then docker-compose -f up but I get the same error

I also tried editing

package_manager.system_site_packages=true

which didn't work

Sadly that didn't do the trick, I wonder how come I don't have the installed packages?
I guarantee no one has deleted them, and it's a bit weird since I can run my code normally, it's just that trains doesn't discover them for some reason.

AgitatedDove14 Yes that's exactly what I have when I create the UniformParameterRange() but it's still not found as a hyper parameter
I am using the learning rate and the other parameters in the model when I train by calling keras.optimizers Adam(...) with all the Adam configs
Wish I could've sent you the code but it's on another network not exposed to the public..

I'm completely lost

Edit:
It's looking like this:

` opt = Adam(**configs['training_configuration']['optim...

It's suppose to be running, how can I double check?
(I'm using my own Trains server)

Now it's running and I do see the gpu:gpuall in the available workers, running the script still produces the "Could not find request hyper-parameters..."
And also the optimizers are still on draft (except the main one which was created for them)

Yes

Regarding step #5 I'm not sure how to check it, what I see in the UI are 5 drafts (concurrent_tasks is set to 5) and the "main" task init incharge of them, and there are clones of the original base experiment with different configurations (although they're not really a clone, only the configs are cloned. the artifacts output model and the results aren't cloned)

And for the things to check - Yup it's like that and still the same error