GorgeousSeagull44 did you restart docker compose?

Yes, of course, there is a lot of code...

maybe I can share individual modules?)

to guide you faster)

ah, I get it, I use (pytorch) lightning, and that's where it all comes from.

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.

yes, I agree, thank you, tell me please, is it planned to add a multicursor in the future?

use local hosting by changing only 1 port (8080->8099) in the original docker compose file

` # Python 3.7.5 (default, Dec 9 2021, 17:04:37) [GCC 8.4.0]

clearml == 1.3.2
numpy == 1.21.5 `

🙂

clearml

*leadership, management == customer

GorgeousSeagull44 Did it help?

up error

/usr/local/lib/python3.7/dist-packages/urllib3/util/retry.py:86: DeprecationWarning: Using 'Retry.BACKOFF_MAX' is deprecated and will be removed in v2.0. Use 'Retry.DEFAULT_BACKOFF_MAX' instead DeprecationWarning,

I found what the problem is, I had port 8091 specified, and the file server was raised to 8081

i run:
` 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)
task.mark_completed() `

2022-03-29 15:15:52,031 - clearml.metrics - WARNING - Failed uploading to http://10.151.32.18:8091 (HTTPConnectionPool(host='10.151.32.18', port=8091): Max retries exceeded with url: / (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fd4ec8f2310>: Failed to establish a new connection: [Errno 111] Connection refused')))
2022-03-29 15:15:52,034 - clearml.metrics - ERROR - Not uploading 1/4 events because the data upload failed

I'm sorry I took your attention, thanks for your time!
all ok!

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...

Perhaps someone has already encountered this and knows how to solve it?
help please

This only happens when I try to block pictures.
When I disable image logging, this error does not occur.

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)), ],

None

docker run --rm -v /srv:/root/srv -v /srv/data/apatshin_docker/airflow/dags/voyager:/voyager voyager:cpu python3.7 /voyager/src/pipeline/train_task_dqn_demo.py

cool!
twm!

I figured it out, I had to click on the model to push, and only after that it would appear as available.

It's all? 😯 🪄 😀
without assigning a logger variable?

Do you accidentally know if there are any plans for an implementation with the logger variable, so that in case of something it would be possible to write to different tables?

For reference
I have now locally raised Clearml on a nearby machine and logging is configured as in the textbook - all metrics are worked out.
On the machine where I run docker, I just copied the clearml.conf file. Maybe you need to do something else (send the /opt/clearml folder and drop it into the docker image?)?

How do you like that?

` from clearml import Task
import numpy as np

def run():
task = Task.init(project_name="test/img", task_name="WandbLogger2_sg_nd_130_7")
logger = task.get_logger()
m = np.eye(256, 256, dtype=np.float64)
iteration = 42
logger.report_image("image", "image float", iteration=iteration, image=m)

if name == "main":
run() `

2022-03-29 16:27:55,273 - clearml.Task - INFO - No repository found, storing script code instead ClearML results page: `
Retrying (Retry...

now I am still clarifying the points that have become attractive to our leadership, I will supplement my answer, How will they answer me.

for simplicity, you can make a flag for this and display only for graphs that are in sight, if it will be easier in terms of implementation or cpu costs.

u can run it