I am missing something in this. Also, I want to use
https://clear.ml/docs/latest/docs/references/api/definitions#taskstask_urls
tasks.task_urls()
It doesn't mention request parameters in this.

` from clearml.backend_api.session.client import APIClient
from clearml import Task

Create an instance of APIClient

client = APIClient()

tasks = client.tasks.task_urls()
print (tasks)
Traceback (most recent call last):
File "get_all_users.py", line 15, in <module>
tasks = client.tasks....

Yeah. M1 chip

Thanks

` # which python
/Users/anuj.tyagi/clearml_api/venv/bin/python
(venv) LMWPRW6F3:clearml_api root# pip freeze | grep clearml
clearml==1.7.2

Traceback (most recent call last):
File "get_all_task.py", line 8, in <module>
print (client.tasks.get_all())
File "/Users/anuj.tyagi/clearml_api/venv/lib/python3.8/site-packages/clearml/backend_api/session/client/client.py", line 422, in get
result=self.session.send(request_cls(*args, **kwargs)),
File "/Users/anuj.tyagi/clearml_api/venv/lib...

FROM python:3.9-alpine

It would be great to have possible fields in the given parameters mentioned here: https://clear.ml/docs/latest/docs/references/api/tasks#post-tasksget_all
Any clue how do I figure out those?

ok thanks

Worked with python:3.9.11 but didn't work with python:3.9.11-alpine 😮
This is crazy.

How can it be even this kind of issue with Python when one endpoint is giving response and other not.

SuccessfulKoala55 Thanks. Last one. How do use this task_urls ?

RUN apk update && apk upgrade --no-cache RUN /usr/local/bin/python3 -m pip install --upgrade pip RUN /usr/local/bin/python3 -m pip install -r requirements.txt

AgitatedDove14 I am upgrade upgrading pip before this. 😕

ok

I see. It's showing since experiment started.

` "tags": [],
"system_tags": [
"interactive"
],
"status_changed": "2022-10-13 17:05:22.844000+00:00",
"status_message": "",
"status_reason": "",
"last_worker": "xxx01:!2c1:cpu:10:service:0a750bd8a09b4063a59c96b4370d0815",
"last_worker_report": "2022-10-30 15:23:18.695000+00:00",
"last_update": "2022-10-30 15:23:18.695000+00:00",
"last_change": "2022-10-30 15:23:18.695000+00:00",
"last_iteration": 0,
"last_metrics": {
"29c6dd717a649...

Thanks

Thanks for the reply. If gpu_0_mem_usage is % of GPU memory in use, what is gpu_0_utilization ?

Is gpu_0_utilization also in % then?

Exactly. I am trying to create alert for tasks that have GPU/CPU allocated but not utilizing it from x period of time.
So, if task is there, GPU will be allocated to it. I will need to check if task is using it or just idle.

I found a lot of questions from past chat in this group including by you related to k8 glue with clearml.
Do you mean it recently become part of enterprise version?
AgitatedDove14

Thanks for the discussion 🙂
It helped me too.