i'm probably sending the request all wrong + i'm not sure how the model expects the input

instead of, say, the binary the task was launched with

well, i have run the keras mnist example that is in the clearml-serving READme. Now I'm just trying to send a request to make a prediction via curl

So far I have taken one mnist image, and done the following:

` from PIL import Image
import numpy as np

def preprocess(img, format, dtype, h, w, scaling):

sample_img = img.convert('L')


resized_img = sample_img.resize((1, w*h), Image.BILINEAR)
resized = np.array(resized_img)
resized = resized.astype(dtype)

return resized

png img file

img = Image.open('./7.png')

preprocessed img, FP32 formated numpy array

img = preprocess(img, format, "float32", 28, 28, None)

...

right, and why can't a particular version be found? how it does it try to find python versions?

logger.report_media( title=name_title, series="Nan", iteration=0, local_path=fig_nan, delete_after_upload=delete_after_upload, ) clearml_task.upload_artifact( name=name_title, artifact_object=fig_nan, wait_on_upload=True, )

clearml-agent 1.2.3

i expected to see 2 tasks running, and then when completed the remaining 2 could start. Is this not the expected behavior?

in particular, I ran the agent with clearml-agent daemon --queue test-concurrency --create-queue --services-mode 2 --docker "ubuntu:20.04" --detached and enqueued 4 tasks to it that sleep 15 minutes.
I can see all 4 tasks running, see

But where do you manually set the name of each task in this code? the .component has a name argument you can provide

ok, thanks Jake!

i'm guessing the cleanup_period_in_days can only actually run every day or whatever if the script is enqueued to services

Not sure why it tries to establish some http connection, or why it's / ...

I am tagging AgitatedDove14 since I sort of need an answer asap...!

ah.. agent was on a different machine..

if i enqueue the script to the services queue but run_as_service is false, what happens?

my server isn't the latest, though..

hiya Jake, how do I inject this with the extra_docker_shell_script setting?

it's from the github issue you sent me but i don't know what the "application" part is or the "NV-InferRequest:...."

img.tofile('7.binaryimage',format='binary') can this be the issue?

I am curious about the updates on version 1.0.0, where can I see some info regarding this?
Passing state information from pre to postprocessing and the dynamic preprocessing code thing, for example

https://allegro.ai/clearml/docs/rst/references/clearml_python_ref/dataset_module/dataset_dataset.html#clearml.Dataset.create

Right, I used --services-mode 2 and it still runs more than 2 tasks simultaneously

SuccessfulKoala55 I can't get it to work... I tried using the pip conf locally and it works, but the agent doesn't seem to be able to install the package

i don't know ahahaha

tagging @<1523701205467926528:profile|AgitatedDove14> here just in case 😅

Same thing SuccessfulKoala55 😞

sheesh, weird. I don't get the same.

Hi SuccessfulKoala55 I am having some issues with this. I have put a concurrency limit of 2 and I can see 3 workers running