AgitatedDove14 Yes

This is odd could it be it automatically forwards to https

I have to check with my IT Team if there's any forwarding

Hey SuccessfulKoala55 , I'm new to Trains and want to setup an Azure Storage Container to store my model artifacts. I see that we can do this by providing an output_uri in Task.init() but is there another way to send all the artifacts to Azure instead of using the Task.init()? Like setting a variable somewhere, so that whenever I run my tasks I know the artifacts will get stored in Azure even if i dont provide an output_uri

So clearml-init can be skipped, and I provide the users with a template and ask them to append the credentials at the top, is that right? What about the "Credential verification" step in clearml-init command, that won't take place in this pipeline right, will that be a problem?

I tried it about 2-3 months ago with trains-init (same use-case as this one) and it failed that time too.

Could it be the credentials are actually incorrect?

Highly unlikely, like I said, I generated a new set of credentials from the Web-UI and it worked perfectly fine for an Azure VM (not under the VPN).

Oh! With the sleep() function? Let me try it again

It's going to Debug Samples with the RC too

Yep it does, thanks AgitatedDove14 :)

Indeed, sleep() did the trick but it's going into the Debug Samples tab and not the Plots, any reason why? Earlier (with Task.init() followed by Task.get_task() ) the same plt plots got reported to 'Plots'.

What if I just copy a clearml.conf file and edit out the tokens? Could that work?

It is http btw, i don't know why it logged https://

This is what I get with the ' https:// ' , this is atleast getting a response from Azure
` 2020-12-03 13:48:49,667 - trains.Task - INFO - No repository found, storing script code instead
TRAINS results page: http://<IP>:8080/projects/<hash>/output/log
2020-12-03 13:48:51,505 - trains.Task - INFO - Waiting for repository detection and full package requirement analysis
2020-12-03 13:48:53,315 - trains.Task - INFO - Finished repository detection and package analysis
2020-12-03 13:48:53,315 -...

I see this AgitatedDove14

Verifying credentials ... Error: could not verify credentials: key=xxxxxx secret=xxxxx Enter user access key:

0.16.1-320

you mean 0.16?

Ah my bad, I picked up the version from docker-compose file :D

` * Trying X.Y.Z.W:8080...

• TCP_NODELAY set
• Connected to X.Y.Z.W (X.Y.Z.W) port 8008 (#0)

GET /debug.ping HTTP/1.1
Host: X.Y.Z.W:8080
User-Agent: curl/7.68.0
Accept: /

• Mark bundle as not supporting multiuse
  < HTTP/1.1 302 Found
  < Location:
  < Connection: close
  < X-Frame-Options: SAMEORIGIN
  < X-XSS-Protection: 1; mode=block
  < X-Content-Type-Options: nosniff
  < Content-Security-Policy: frame-ancestors
  <
• Closing connection 0 `

Yeah I noticed that too! Ports are configured properly in the conf file though

I tried it, and it is uploading it to Debug Samples ( Task.get_task() ) with task.get_logger().report_matplotlib_figure() , but with a Task.init() , it's uploading it to Plots.

Checking with the RC package now

Are you doing 

plt.imshow

Nope

And yes, I set the report_image=False

Thanks 🙂

2021-02-08 18:49:25,036 - clearml - WARNING - InsecureRequestWarning: Certificate verification is disabled! Adding certificate verification is strongly advised. See: Retrying (Retry(total=239, connect=240, read=239, redirect=240, status=240)) after connection broken by 'ReadTimeoutError("HTTPSConnectionPool(host='X.Y.Z.W', port=8015): Read timed out. (read timeout=3.0)",)': /auth.loginGot this, times out after 5 tries

AgitatedDove14 , I'll have a look at it and let you know. According to you the VPN shouldn't be a problem right?

No, the sample code I sent above works as intended, uploads to 'Plots'. But the main code that I've written, which is almost exactly similar to the sample code behaves differently.

I did that, and it works flawlessly. I swear I installed the Azure blob storage package multiple times, anyway thanks a lot again for the detailed debugging O:)

Right, parsing the TB is too much work, I'll look into the material you sent. Thanks!

AgitatedDove14 , thanks a lot! I'll get back with a script in a day or two.

Okay! Thanks 😄

AgitatedDove14 , here's the code snippet you requested

Understood, I'll look into it!

My use case is that, let's say I'm training with a file called train.py in which I have Task.init() , now after the training is finished, I generate some more graphs with a file called graphs.py and want to attach/upload to this training task which has finished. That's when I realised Task.get_task() is not working as intended, but it is when I have a Task.init() before it.

Oh it worked! I did the pip install multiple times earlier, but to no avail. I think it's because of the env variables? Let me try to unset those and provide it within the trains.conf

Thanks a lot SuccessfulKoala55 🙂