Reputation
Badges 1
131 × Eureka!basket name all ok?
@<1523701070390366208:profile|CostlyOstrich36> @<1523701205467926528:profile|AgitatedDove14> maybe there is already a fix in some version?
I didn’t understand how exactly (
in any case, after looking at many examples, I found how it was implemented.
'status_changed': ['>{}'.format(datetime.utcfromtimestamp(previous_timestamp)), ],
I found a solution - I did not specify the address of the service (
here is a working code example:
basket = s3-infra.loc/
path = "s3-artifacts-test/proj_path"
task = Task.init(
project_name=project_name,
task_name=task_name,
reuse_last_task_id=False,
output_uri='s3://{basket}{path}',
)
I figured it out, I had to click on the model to push, and only after that it would appear as available.
AgitatedDove14 like wandb
the ability to view other values when choosing a specific one.
For example, we want to see what validation value is for a particular train loss.
AgitatedDove14
I suspect that it will be difficult to assign the old IP - I will consult with the admin guys.
Architecturally it sounds right to work with the base, though I don't have that much experience. I correctly understand, What then it is necessary to replace the address in a line of a way for a file?
like this?
export CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL="True"
upd: it's work!!!
Thanks a lot!
and dell tasks, and all ok:
` #task = Task.init(
project_name=f"RL_experiments/{cfg.train.env_train.target.split('.')[-1]}/{'/'.join(cfg.train.trainmodule.target.split('.')[-2:])}",
task_name="demo",
reuse_last_task_id=False)
#task.connect(dict(OmegaConf.to_container(cfg, resolve=True)))
logger = get_logger("train_ql", log_level=cfg.base.log_level)
logger.info(f"cfg:\n{OmegaConf.to_yaml(cfg)}")
tmp_values = train_dqn_task(cfg.train, cfg.base)
...
we run in containers without venv, in the main section, and then delete it or use it for similar experiments Sounds like something very similar, I'll try to use it, thanks a lot! Can this be configured in the UI by simply adding a docker image to the launch options?
Is that what the thing was called a bucket?
i found 🙂
CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL
Thank you very much for your help and for such a convenient product!)
I haven't figured out the alents yet, but it already looks amazing!)
AgitatedDove14
my management liked that in wandb you can make reports on experiments with interactive graphs and that they would be viewed on the Internet + multicursor.
And I think what advantages ClearML has to compensate for this chips.
I thought that maybe someone made a comparison and find the necessary arguments in this comparison.
From the active one, we are still using local placement, logging the console, logging parameters, displaying metrics and debugging the picture with drawin...
GorgeousSeagull44 did you restart docker compose?
CostlyOstrich36
*If the agent did not perform a certain action, then its average reward per episode for this action will be nan , not 0
Perhaps this will help
cool!
twm!
Yes, sure!
Thank you very much for your time!
@<1523701205467926528:profile|AgitatedDove14>
Can you please tell me how to return the folder where the script should run?
Traceback (most recent call last):
File "/root/.clearml/venvs-builds/3.7/code/train.py", line 12, in <module>
from src.utils.profiler.time_profiler import TimeProfiler
ModuleNotFoundError: No module named 'src'
/root/.clearml/venvs-builds/3.7/code/ -> /src/project
use local hosting by changing only 1 port (8080->8099) in the original docker compose file
if i replace port from 8091 ti 8090 then opened page (pic. 1)
to
this is the experiment that was useful, but we stopped it, because. convergence has happened before. than we expected
AgitatedDove14
yes, IP-based access, with DNS for some reason took 5 times longer and we abandoned it (MD is about our DNS and its settings).