the output above is what the agent has as it seems... obviously on my machine I have it installed

Oh I get it, I thought it is only a UI issue... but it actually doesn't send it O_O

no this is from the task execution that failed

` # Python 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0]
clearml == 1.0.5
hyperopt == 0.2.5
matplotlib == 3.4.3
numpy == 1.21.2
pandas == 1.3.2
plotly == 5.3.0
python_dateutil == 2.8.2
scikit_learn == 0.24.2
statsmodels == 0.12.2
tqdm == 4.62.2

Detailed import analysis

**************************

IMPORT PACKAGE clearml

tasks/data_projection.py: 9

tasks/hp_optimization.py: 6

tasks/hpo_n_best_evaluation.py: 6

tasks/pipelines/monthly_predictions.py: 4

IMPORT PACKAGE hypero...

why not use my user and group?

and I'll open an issue

yeah but I see it gets enquequed to the default which I don't know what it is connected to

If I execute this task using python .....py will it execute the machine I executed it on?

Happens on my Firefox aswell

but why would the captcha fail? O_O

and also in the extra_vm_bash_script variables, I ahve them under export TRAINS_API_ACCESS_KEY and export TRAINS_API_SECRET_KEY

Now I see the watermarks are 2gb

TimelyPenguin76

alabaster==0.7.12 appdirs==1.4.4 apturl==0.5.2 attrs==21.2.0 Babel==2.9.1 bcrypt==3.1.7 blinker==1.4 Brlapi==0.7.0 cachetools==4.0.0 certifi==2019.11.28 chardet==3.0.4 chrome-gnome-shell==0.0.0 clearml==1.0.5 click==8.0.1 cloud-sptheme==1.10.1.post20200504175005 cloudpickle==1.6.0 colorama==0.4.3 command-not-found==0.3

I mean if I continue and build on the example in the docs, what will happen if the training task is completed, and then I get it and log to it? Will it be defined as running again?

and we want to continue xecuting locally

BTW is the if not cached_file: return cached_file is legit or a bug?

This error just keeps coming back... I already made the watermarks like 0.5gb

I only found Project ID, which I'm not sure what this refers to - I have the project name

😶‍🌫️

which permissions should it have? I would like to avoid full EC2 access if possible, and only choose the necessary permissions

I'll try to debug this and updat

I have them in two different places, once under Hyperparameters -> General

Sorry I meant this link
https://azuremarketplace.microsoft.com/en-us/marketplace/apps/apps-4-rent.clearml-on-centos8

AgitatedDove14 ⬆ please help 🙏

the pipeline was running

So could you re-explain assuming my piepline object is created by pipeline = PipelineController(...) ?

the Task object has a method called Task.execute_remotely

Look it up here:
https://allegro.ai/docs/task.html#trains.task.Task.execute_remotely

I set it to true and restarted by agent

logger.report_table(title="Inference Data", series="Inference Values", iteration=0, table_plot=inference_table)

I'll check if this works tomorrow