Hi PreciousParrot26 ,
Why are you running from gitlab runner - Are you interested in specific action triggers?
Can you please clarify? What does torch.nn.Module hold within? Isn't it just the weights configuration?
HugeArcticwolf77 , what if you specify the exact python binary from conda using CLEARML_AGENT_SKIP_PIP_VENV_INSTALL?
Hi @<1529995795791613952:profile|NervousRabbit2> , if you're running in docker mode you can easily pass it in the docker_args parameter for example so you can set env variables with -e docker arg
So how do you attach the pytorch requirement?
My bad, if you set auto_connect_streams to false, you basically disable the console logging... Please see the documentation:
auto_connect_streams (Union[bool, Mapping[str, bool]]) – Control the automatic logging of stdout and stderr.
Hi, Can you please elaborate on what you mean and what is happening?
How is the model saved in the code?
Hi @<1524922424720625664:profile|TartLeopard58> , can you elaborate on what do you mean by code-server?
SarcasticSparrow10 , please note that during the upgrade you do NOT copy /opt/clearml/data/mongo into /opt/clearml/data/mongo_4 , you create the folder like in the instructions: sudo mkdir /opt/clearml/data/mongo_4
This is the reason that it is giving out errors - You've got old mongo data in your mongo 4 folder...
Please follow the instructions to the letter - this should work 🙂
Hi @<1562973095227035648:profile|ThoughtfulOctopus83> , what version of ClearML server are you running? Also what versions of clearml & clearml-agent
Hi @<1719162252994547712:profile|FloppyLeopard12> , not sure I understand what you're trying to do, can you elaborate step by step?
Hi @<1523702439230836736:profile|HomelyShells16> , I'm afraid that's not really possible since the links themselves are saved on the backend
Regarding 1 & 2 - I suggest always keeping the API docs handy - https://clear.ml/docs/latest/docs/references/api/definitions
I love using the API since it's so convenient. So to get to business -
To select all experiments from a certain project you can use tasks.get_all with filtering according to the API docs (I suggest you also use the web UI as reference - if you hit F12 you can see all the API calls and their responses. This can really help to get an understanding of it's capabilities ...
Hmmmm you can automate the cleanup. Iterate through folders, if such an experiment exists, skip, if no experiment exists, delete folder
Hi, do you mean out of the box virtualization of your gpu or using virtual gpus on the machine?
Hi @<1523701842515595264:profile|PleasantOwl46> , I'm not sure. Do you see any errors in the API server on such a startup?
Hi ExasperatedCrocodile76 , I think this is the quickest and easiest solution you're looking for:
https://clear.ml/docs/latest/docs/references/sdk/task/#taskforce_requirements_env_freeze
Just make sure to call it before Task.init() as documentation states
Hi TenseOstrich47 ,
Yes 🙂
Please take a look here:
https://github.com/allegroai/clearml/blob/master/examples/scheduler/trigger_example.py
https://github.com/allegroai/clearml/blob/master/examples/scheduler/cron_example.py
https://clear.ml/docs/latest/docs/references/sdk/dataset/#get_num_chunks
I think this might also be helpful. Gloss over the functions available in the documentation, I think you might find what you're looking for 🙂
Hi GorgeousMole24 , I think for this your best option would be using the API to extract this information.
` from clearml.backend_api.session.client import APIClient
client = APIClient() `is the pythonic usage
you can edit the requirements section directly
RipeAnt6 , you have to manage your storage on the NAS yourself. We delete data only on the fileserver.
However, you could try mounting the NAS to the fileserver docker as a volume and then deletion should also handle files on the NAS 🙂
We use the GCP SDK under the hood. Can you try downloading to the same folder in the NFS using GCP SDK?
Looks like it's not running in docker mode 🙂
Otherwise you'd have the 'docker run' command at the sttart
I think if you provide an absolute path it should work 🙂
Hi @<1717350332247314432:profile|WittySeal70> , just to clarify, are you talking about the ClearML server itself or about agents?
From my understanding the AMI is simply an image with the ClearML server preloaded to it.
If you go to settings, the versions should appear at the bottom right
Can you copy paste the error you got?