Hi TimelyPenguin76 , My version is 0.15.2rc0 and I am running with this command; trains-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda --foreground

I couldn't tell. Assume, I have a huge github repository, it has 100 ml project and I want to see all of them in the trains server. Should I write "train.init()" and run them all in order to see them in the server or is there any other way to see all of them in the server without run them all.

AgitatedDove14 , sorry for my late response, I will try it. it might work and Thanks.

chown: cannot access '/root/.cache/pip': No such file or directory It gives this error

AgitatedDove14 /usr/bin/python3
/usr/local/bin/trains-agent

Yes, I mean trains-agent. Actually I am using 0.15.2rc0. But, I am using local files, I mean I clone trains and trains-agent repos and install them. Their versions are 0.15.2rc0

At the end, there is an error about "pip"

As you said, in order to see my code in the server, I need to run it. So, what am I asking that is there any way to see my code in the server without run it.

-e git+ torch == 1.5.1 torchvision == 0.6.1 trains == 0.15.2rc0Actually, package version is also written. However, because of git ref, trains-agent fails.

AgitatedDove14 Yes, that's what I am saying.

AgitatedDove14 I might find something to fix the issue but I am not sure. In trains-agent worker.py script log it is written like that python3 -u -m trains_agent execute --disable-monitoring --id 9fe6d610a2b946379255b0fc25b5f9fd') so at the end there is an extra " ' ".  So when I run this script in my local environment by writing python3 -u -m trains_agent execute --disable-monitoring --id 9fe6d610a2b946379255b0fc25b5f9fd it works and runs the code. However, if I write ` pytho...

Yes, local commit without pushing it. Can I configure the code? I searched this topic in older discussions, but I can't find it.

Actually, it may help. I will try it.

Thanks a lot for the last information. It worked 😄

Okey, know it is 2.9, I misunderstood you.

It worked

I will install from repository and try it again, my trains-agent version is 0.15.2rc0, but I could not find trains version, it might be about version

Ups, you misunderstood me. I just want to remove specified agent. For example, I had 3 agents on the same queue with different worker names. So, if I remove them by applying what you said in this thread, all of them will be removed. However, I just want to remove one of them.

Yes, I mean removing agent from the server

If I delete this folder that is in ~/.trains/vcs-cache directory, it fixes the problem

Actually, I want to retrieve metrics from code and I thought that these metrics might be stored somewhere in the local folders so that I can access them via code. You know the log file is created and stored in /tmp folder.

So, is there any trick to fix this issue?

TimelyPenguin76 It is 2.1, but 2.9 files are also exist. How can I update it?

Thanks :)

fatal: destination path '/home/dogukan/.trains/vcs-cache/pre-post-script-repo.git.35f82b395021c8e6afef186fafa662cc/pre-post-script-repo.git' already exists and is not an empty directory. Repository cloning failed: Command '['clone', 'git@192.168.1.230:dogukan/pre-post-script-repo.git', '/home/dogukan/.trains/vcs-cache/pre-post-script-repo.git.35f82b395021c8e6afef186fafa662cc/pre-post-script-repo.git', '--quiet', '--recursive']' returned non-zero exit status 128. Cannot find output file

Okey, I got it now. Thanks for help 🙂

I mean, you know in trains github, there are examples and when I deploy the server, these examples are exist in server with draft status. So, I want to add my examples in the same way.

from trains_agent import APIClient client = APIClient() task = client.tasks.get_by_id(task="5b5cbdc5e7bc4cd5ba39081b5b4a0423") print(task.execution.parameters)

0.16.0

In older versions it returns:
"parameters": { "batch_size": "64", "test_batch_size": "1000", "epochs": "1", "lr": "0.01", "momentum": "0.5", "no_cuda": "False", "seed": "1", "log_interval": "10", "save_model": "True" }But, now it just returns empty dict. I think it is because of separation of hyper-parameters section on UI.