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47 × Eureka!Yes, local commit without pushing it. Can I configure the code? I searched this topic in older discussions, but I can't find it.
from trains_agent import APIClient client = APIClient() task = client.tasks.get_by_id(task="5b5cbdc5e7bc4cd5ba39081b5b4a0423") print(task.execution.parameters)
Okey, I got it now. Thanks for help 🙂
When I print (task.data) there is no hyperparams
in dictionary.
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.
Actually, it may help. I will try it.
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.
AttributeError: 'Task' object has no attribute 'hyperparams'
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.
AgitatedDove14 Is it possible to delete specified worker? I mean, I have 10 workers and I want to delete one of them?
TimelyPenguin76 It is 2.1, but 2.9 files are also exist. How can I update it?
I was using APIClient inside of trains-agent and in trains-agent there is no v2.9. I think that's why I could not get hyperparams
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.
AgitatedDove14 , sorry for my late response, I will try it. it might work and Thanks.
Thanks a lot for the last information. It worked 😄
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.
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.
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
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
If I delete this folder that is in ~/.trains/vcs-cache directory, it fixes the problem
Yes, it fixed. If I install trains from github repo directly withouth using my local version. But, is there another way to avoid it, because I might change the code for my personal use, that's why I want to install trains from my local.
-e git+
torch == 1.5.1 torchvision == 0.6.1 trains == 0.15.2rc0
Actually, package version is also written. However, because of git ref, trains-agent fails.