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31 × Eureka!Hi,
I've managed to fix it.
Basically, I had a tracker running on our queues to ensure that none of them were lagging. This was using get_next_task
from APIClient().queues
.
If you call get_next_task
it removes the task from the queue but does not put it into another state. I think because typically get_next_task
is immediately followed by something to make the task run in the daemon or delete it.
Hence you end up in this weird state were the task thinks its queued bec...
@<1523701087100473344:profile|SuccessfulKoala55> Thanks for getting back to me. My image contains clearml-agent==1.9.1
. There is a recent release to 1.9.2
and now on every run the agent installs this newer version thanks to the -U
flag which is being passed. From the docs it looks like there may be a way to prevent this upgrade but it's not clear to me exactly how to do this. Is it possible?
Thanks. I am trying to completely minimise the start up time. Given I am using a docker image which has clearml-agent
and pip
installed, is there a way I can skip the installation of this when a task starts up using the daemon?
This is something you can do in the GCP console, one would imagine it can be done using their python library.
I think the limitation is that you can only pass a relative subnet path in the GCP Autoscaler console. Then, by the looks of the error message, the ClearML Autoscaler constructs the full path under the hood /project/<project_id>/subnet/<subnet_id>
.
I'd like the option to specify the full path myself in the Autoscaler which would then allow me to use a shared subnet.
@<1673863823901069312:profile|BraveToad81>
Is there documentation for this as I was not able to figure this out unfortunately.
I did not touch the interactive session code at all.
I installed clearml-session
using pip and ran the above command with a task id from a task I'd already run.
Is there a way I can do this with the python APIClient or even with the requests library?
I cannot ping api.clear.ml on Ubuntu. Works fine on Mac though.
Further to this, I have inspected further. This is working as expected for ClearML 1.8.3 but not for ClearML 1.9.0.
I looked at the commits and found that a change had been made to the _decode_image
method:
This aligns with the error message I'm seeing:
2023-02-08 15:17:25,539 - clearml - WARNING - Error: I/O operation on closed file.
Can this be actioned for the next release plea...
Furthermore, when using APIClient()
, users
is not a valid endpoint at all.
class APIClient(object):
auth = None # type: Any
queues = None # type: Any
tasks = None # type: Any
workers = None # type: Any
events = None # type: Any
models = None # type: Any
projects = None # type: Any
This is taken from clearml/backend_api/session/client/client.py
I am using ClearML version 1.9.1. In code, I am creating a plot using matplotlib. I am able to see this in Tensorboard but it is not available in ClearML Plots
Yep that's correct. If I have a task which runs every 5 minutes, I don't want a new task every 5 minutes as that will create a lot of tasks over a day. It would be better if I had just one task.
👍 thanks for clearing that up @<1523701087100473344:profile|SuccessfulKoala55>
The code is quite nested by I've tried to extract out the important parts ( summmary_writer
is a tensorboard logger).
self.figure, (ax1, ax2, axc) = plt.subplots(1, 3, figsize=(total_width, total_height), facecolor="white")
self.summary_writer = self.tb_logger.experiment
self.summary_writer.add_figure(Partition.TRAINING.value, train_plot.figure, global_step=self.current_epoch + 1)
The train_plot.figure
is a matplotlib figure created using seaborn.
Let me know if this...
Here it is:
@<1537605940121964544:profile|EnthusiasticShrimp49> How do I specify to not attach a gpu? I thought ticking 'Run in CPU Mode' would be sufficient. Is there something else I'm missing?
@<1523701070390366208:profile|CostlyOstrich36> Thank you. Which docker image do you use with this machine image?
Thanks Jake. Do you know how I set the GPU count to 0?
I have just encountered this. I believe it is because of the clearml-agent 1.7.0 release which added this as default: agent.enable_git_ask_pass: true
To fix, add in agent.enable_git_ask_pass: false
to your config.
No particular reason. This was our first time trying it and it seemed the quickest way to get off the ground. When I try without I have a similar error trying to connect although that could be due to the instance.
Apologies for the delay.
I have obfuscated the private information with XXX
. Let me know if you think any of it is relevant.
{"gcp_project_id":"XXX","gcp_zone":"XXX","subnetwork":"XXX","gcp_credentials":"{\n \"type\": \"service_account\",\n \"project_id\": \"XXX\",\n \"private_key_id\": \"XXX\",\n \"private_key\": \"XXX\",\n \"client_id\": \"XXX\",\n \"auth_uri\": \"XXX\",\n \"token_uri\": \"XXX\",\n \"auth_provider_x509_cert_url\": \"XXX\",\n \"client_x509_cert_url\": \"...