I'm not sure how I broke it 😅

Yeah me too, I had no idea what was happening 😅

This crashes with:
File "/tmp/tmpa5l_cvuv.py", line 8 crop = image[(0:50, 0:50)] ^ SyntaxError: invalid syntax

Found it!

I wasn't able to reproduce it with a simple piece of code, I'll try to see later if I can. But what I've seen is that I was logging too many images and it was somehow missing my last reports. With fewer image logs it seems like it's working normally

From what I could see, generating SHA2:
i7-10700K: ~ 10 - 15 minutes Xeon E3-1240: 4 - 5 hours!Then in both cases I still have about an 1h30 to upload the images to the fileserver. Which I also find quite a bit slow, but the ClearML fileserver is on my old Xeon. I plan to upgrade my server and to test it again

Thanks! Seems to be working just fine

From what I've seen, another fix would be to pass a default value to your parameters, for example: def executing_pipeline(start_date=0, end_date=0):

Nope sorry I don't have that, but this was our discussion about it: https://clearml.slack.com/archives/CTK20V944/p1665477602050259

This is what I've found, and there's no error that seem to come up

Thanks for the response, I don't have any specific reason. I just wanted to have a something cleaner. We don't have much projects yet, so we just get these examples in the way. But it's not bad, I was just wondering. I'll remember to check for the environment variables for our next ClearML install. Thanks anyways, I won't take the trouble of removing them then

Okay, thanks

1.7.1

Alright! I'll take a look at it. It's also nice to know that pipelines will take care of it. Thanks!

Not really, it's an Ubuntu desktop machine that I'm just updating times to times. I've also got a few pipelines running during my trainings. Do you know any tools that I could use to analyze network errors?

Sure, I will do that

But this works strangely:
` @PipelineDecorator.component(cache=False, execution_queue="default")
def get_param():
return 'hello'

@PipelineDecorator.component(cache=False, execution_queue="default")
def get_best_model(task_ids):
import ...

print('task_ids:', task_ids, type(task_ids)) # task_ids: None <class 'NoneType'>

...

@PipelineDecorator.pipeline(
name='...',
project='...',
version='0.1'
)
def pipeline_entry(task_ids: List[str], ...):
print(task_ids, typ...

I had the same issue, they fixed it in 1.7.2rc1 I think. You can try pip install clearml==1.7.2rc1

Hmm okay, I'm doing a hyper parameter search by launching multiple processes of my train function. I've got a main task runing the search to log the final results, and a bunch of training tasks running in parallel. It would've been nice to be able to come back to each one individual training task, but I guess I'll do without

This is from the console by the way

Alright, thanks! I can confirm that it works in 1.7.1

But I've got /opt/clearml/data/fileserver/examples/.pipelines/custom pipeline logic which has a bunch of folders of old tasks

I'm using a self hosted server

Apparently, the issue is that it will always pass None if there's no default value

CostlyOstrich36 This looks like a bug? Here's a simpler version of it and what I'm getting:
` from clearml.automation.controller import PipelineDecorator

@PipelineDecorator.component(cache=False)
def step_one(my_arg):
print('step_one/my_arg:', my_arg) # step_one/my_arg: None
# I should not get None here! At least that's what I'm expecting

@PipelineDecorator.pipeline(name='custom pipeline logic', project='examples', version='0.0.5')
def executing_pipeline(my_arg):
print('my_ar...

Sooo for the SHA2 generation, I've tested 2 very different CPUs, and it makes a HUGE difference 😅 I probably have to upgrade my server

It's a bit strange, my pipeline is called "custom pipeline logic" (which I renamed to "blop" later). This api_client.projects.get_all(name=exact_match_regex("pipeline_project/.pipelines/blop"), search_hidden=True) returns nothing and this api_client.projects.get_all(name=exact_match_regex("pipeline_project/.pipelines/custom pipeline logic"), search_hidden=True) returns nothing either

This however works fine:
` Python 3.10.6 (main, Aug 10 2022, 11:40:04) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.

import numpy as np
a = np.ones((100, 100, 3))
a[0:50, 0:50].shape
(50, 50, 3)
`

CostlyOstrich36 Here's what I get:
` ERROR TypeError: Unexpected type 'undefined' in select operator, expected 'string' or 'function'
rn ngrx-store.mjs:550
select ngrx-store.mjs:507
deleteEntitiesEffect base-delete-dialog.effects.ts:134
RxJS 13
stateSubscription ngrx-store.mjs:472
RxJS 24
next ngrx-store.mjs:206
dispatch ngrx-store.mjs:515
delete common-delete-dialog.component.ts:112
O common-delete-dialog.component.html:36
Angular 11
core.mjs:7640...

No sorry, I found the where the logs are. And it doesn't seem to have any errors in the logs:
` [2022-10-14 17:22:50,771] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.get_all in 3ms
[2022-10-14 17:22:50,784] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.get_by_id in 7ms
[2022-10-14 17:22:50,853] [9] [INFO] [clearml.service_repo] Returned 200 for events.add_batch in 182ms
[2022-10-14 17:22:50,874] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.edit in 28ms
[202...