response:
{"meta":{"id":"09e19b94a3c44b30b3a52fe89ee27fcf","trx":"09e19b94a3c44b30b3a52fe89ee27fcf","endpoint":{"name":"tasks.get_all_ex","requested_version":"2.13","actual_version":"1.0"},"result_code":400,"result_subcode":12,"result_msg":"Validation error (invalid task field): path=hyperparams.input.num_train_epochs.value","error_stack":null,"error_data":{}},"data":{}}

AgitatedDove14
Hi!
Any idea of how to solve this issue?

Thx!

nope. it happens for all of them (only on our on-prem server, so it might be a misconfiguration of some kind)

Fixed! Thx!

Hi SuccessfulKoala55 !
Did you managed to fix this issue?

Thx!

Hi!
Thanks for your response!
That’s what I see in the Network tab:

Thx!

request payload:
` {"id":[],"project":["6d3dc225d3e041768689bac6ea82573c"],"page":0,"page_size":15,"order_by":["-last_update"],"type":["$not","annotation_manual","$not","annotation","__$not","dataset_import"],"user":[],"system_tags":["-archived"],"tags":[],"include_subprojects":false,"only_fields":["system_tags","project","company","last_change","started","last_iteration","tags","user.name","type","name","status","project.name","last_update","parent.name","parent.project.id","parent.proje...

I will try recreating my env.

Thx! fixing the too-big-diff (due to a jupyter notebook) solved the issues.

` {
"meta": {
"id": "09e19b94a3c44b30b3a52fe89ee27fcf",
"trx": "09e19b94a3c44b30b3a52fe89ee27fcf",
"endpoint": {
"name": "tasks.get_all_ex",
"requested_version": "2.13",
"actual_version": "1.0"
},
"result_code": 400,
"result_subcode": 12,
"result_msg": "Validation error (invalid task field): path=hyperparams.input.num_train_epochs.value",
"error_stack": null,
"error_data": {}
},...

I want to upload the dataset into s3. is there a flag that tells it to do so?

ExhilaratedMoth63

nope. still same problem.

And anyway, the git diffs are logged long before, and still the reporting doesn’t upload, and I don’t see why it should.

Still getting the same error. Any idea?

Well, I couldn’t find where to add the output_uri .
I tried now the following:
` import clearml
local_path='<some-local-path>'
s3_path = 's3://<some-bucket-path>'

dataset = clearml.Dataset.create(dataset_project='project_name', dataset_name='trial_01')

dataset.add_files(path=local_path, dataset_path=s3_path) `but I don’t see the files on the s3 bucket.

I also tried this:
dataset.sync_folder(local_path=local_path, dataset_path=s3_path)and still no success. It seems like it uploadin...

It’s a big dataset/.

Wow! You’re great!
Thx!

It seems to be stuck in the following step:
` $ python eraseme.py

ClearML Task: created new task id=fa3db29498f241a19de81b75f787887e
ClearML results page:
======> WARNING! Git diff to large to store (1327kb), skipping uncommitted changes <======
2021-07-11 19:17:31,351 - clearml.Task - INFO - Waiting for repository detection and full package requirement analysis
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
2021-07-11 19:17:32,821 - clearml.Ta...

seems like. I’m working with git only locally, with remote machine where the code actually runs (you know this pycharm pro remote). So for git integration I had to reproduce the git on the remote machine. and since it’s not updated regularly, the git diffs are large…

Do you have a better solution for the git integration for the way I work?

Well taking the file out of my git repo folder it seems to work perfectly. May it have something to do with the git integration and the uncommitted changes?

SuccessfulKoala55 , I sent everything that might help, since I don’t really know which could be most helpful…

Thx!

Thx! will try it tomorrow.