after running I already can't set new params

I create the draft mod in the picture above by calling pipe.create_draft() But this does not start the execution of the pipeline, but immediately transfers it to draft mode

@<1523701070390366208:profile|CostlyOstrich36> Yes, I changed the name in manual mode, where this option is provided, but the name of the block did not change

problem solved. Removed nginx limits

@<1578555761724755968:profile|GrievingKoala83> Did you solve this problem?

@<1578555761724755968:profile|GrievingKoala83> I have the same problem with table and detailed view

@<1523701070390366208:profile|CostlyOstrich36>
It's strange, during the first remote start I could set the options. But now I can't again. With what it can be connected?

@<1523701070390366208:profile|CostlyOstrich36> Yes, sure

import pandas as pd
import yaml
import os
from omegaconf import OmegaConf
from clearml import Dataset

config_path = 'configs/structured_docs.yml'

with open(config_path) as f:
    config = yaml.full_load(f)

config = OmegaConf.create(config)
path2images = config.data.images_folder


def get_data(config, split):
    path2annotation = os.path.join(config.data.annotation_folder, f"sample_{split}.csv")
    data = pd.read_csv(path2an...

@<1523701070390366208:profile|CostlyOstrich36>

@<1523701070390366208:profile|CostlyOstrich36> Second run was remotely

@<1523701070390366208:profile|CostlyOstrich36> While pipeline in pending process, i can set new run, but after compliting not

@<1523701070390366208:profile|CostlyOstrich36> Yes, we deployed clearml in our outline

when I start a new run I can't change initial parametrs

@<1523701070390366208:profile|CostlyOstrich36> I did it,, but I think its not optimal))

This is how I got information about FieldNet project:
from clearml import Task, Dataset

all_taks = Task.get_tasks()

FieldNet_tasks = {}
for task in all_taks:
name = task.name
task_id = task.task_id
if 'FieldNet' in name:
if name in FieldNet_tasks:
# get last dataset version
task_old_version = Task.get_task(task_id=FieldNet_tasks[name]).get_parameters_as_di...

CostlyOstrich36 Thanks for answer!
I use
clearml-agent daemon --queue default --cpu-only

SmugDolphin23 It's work) Thank you so much)
Can you explain this type of Error?

@<1523701435869433856:profile|SmugDolphin23>
Yes, I see

Why does it match with gpu 0 when I only have cpu?

CostlyOstrich36 Oh, ok) Thanks!
May be you know?! Is data tagging available to view summary statistics in the free version?

Problem solved:

• removed limits everywhere and live time for downloading everywhere
• increased limits for the file server

@<1523701070390366208:profile|CostlyOstrich36>
One more moment. When I look at the dataset in web UI, I see like dataset switched to final

@<1523701070390366208:profile|CostlyOstrich36> A simple run with the options I changed in the second run

@<1593051292383580160:profile|SoreSparrow36> @<1578555761724755968:profile|GrievingKoala83>
@<1523701435869433856:profile|SmugDolphin23>
I found that if you go into the details of the pipeline, you can copy it manually and it will go into edit mode, where you can change the parameters manually

@<1523701435869433856:profile|SmugDolphin23>
I rechecked on single files, creating new datasets, and everything works properly. I tried to create dataset using original data, and I got the following logs. Could you suggest what could be causing this?
Uploading dataset changes (1497 files compressed to 9.07 MiB) to None
`2023-05-12 08:46:03,114 - clearml.storage - ERROR - Exception encountered while uploading Failed uploading object /addudkin2/.dataset...

@<1523701070390366208:profile|CostlyOstrich36> Then when I try to get the dataset I get the following error

Failed getting object size: RetryError('HTTPSConnectionPool(host='files.clearml.dbrain.io', port=443): Max retries exceeded with url: /Labeled%20datasets/.datasets/printed%20multilang%20crops/printed%20multilang%20crops.1e76fd4ad77f4d2790e4acf1c8241c59/artifacts/state/state.json (Caused by ResponseError('too many 503 error responses'))')
Could not download 

 , err: H...

@<1523701070390366208:profile|CostlyOstrich36> Yes
Clearml only has the ability to integrate with AWS?

@<1523701070390366208:profile|CostlyOstrich36>
Yes, it's work)
Thank you so much

@<1578193574506270720:profile|DashingAlligator28> Removed nginx limits

Also, for some reason I don't have the ability to copy pipelines. Tell me, is this normal?