ClearML Task: created new task id=bda6736172df497a83290b2927df28a2 ClearML results page: 2022-06-30 12:35:16,119 - clearml.Task - INFO - No repository found, storing script code instead ClearML pipeline page: `
2022-06-30 12:35:25,434 - clearml.automation.controller - INFO - Node "step_two" missing parent reference, adding: {'step_one'}
2022-06-30 12:35:25,436 - clearml.automation.controller - INFO - Node "step_three" missing parent reference, adding: {'step_two'}
2022-06-30 12:35...

Missing the last piece of the puzzle I believe.

ran clearml-agent daemon --queue rudolf --detached

Indeed locally it does work if I run pipe.start_locally

I see! SuccessfulKoala55 what is the right way to config it? via vim or is there any commandline tool?

so it's not auto-generated. What's the spec of this conf file?

solved with Alon's help 1x1

SweetBadger76 thanks,

The only thing I am not certain about is. What does agent means in ClearML world? Is the queue manager or the pipelien?

TimelyPenguin76

thanks again... I have tried what you have suggested. It does inject the dir, but not cloning the whole content.

os.system("tree") from within demo.py pipeline step function:

└── test-demo-clearml.git ├── demo.py ├── __init__.py ├── local_dir └── step_one_task.pyvs.
from the actual tree (under ~/clearml_using_local_lib )
` tree
.
├── demo.py
├── init.py
└── local_dir
├── hello.py
├── init.py
└── pycache
└── __i...

there was an issue with the layout of my simple git example. So if you do the above it should work

from clearml import PipelineController

the question how does ClearML know to create env and what files does it copy to the task
/homes/yossi/.clearml/venvs-builds/3.7/

Will make it as a local repo. Thank you so much!

thank you, guys! I think now it works! Amazing step-by-step support! This is sublime!

for future ref., this is a summary of what I have done:

create a project on clearml webUI create a queue on clearml webUI run an agent /homes/yosefhaie/.conda/envs/devops/bin/clearml-agent daemon --create-queue --queue <queue-name> use this test script:` from clearml import PipelineController

We will use the following function an independent pipeline component step

notice all package imports ins...

it's an undecidable problem

I created a worker that listens to the queue, but the worker doesn't pull the tasks (they are pending)

Still missing some info about how to make the worker actually pull the task from the queue.

would love to hear your thoughts

locally and remotely

Task.add_requirements

This is extremely helpful! I decided to go with pipeline from functions.

Everything looks great, but the tasks are pending. Am I missing some executor or something like that?

` from clearml import PipelineController

We will use the following function an independent pipeline component step

notice all package imports inside the function will be automatically logged as

required packages for the pipeline execution step

def step_one(pickle_data_url):
# make sure we have scikit-learn for this step, we need it to use to unpickle the object
import sklearn # noqa
import pickle
import pandas as pd
from clearml import StorageManager
pickle_da...

you are amazing guys! thank yall

if this was possible we wouldn't need pip

or how can I add some libraries I'd like it to pip install in the new environment

I have a simple pipline that works

if a==True: import torch else: import tensorflow

nice! Thank you

consider this case:

Yep Correct