I double check the id and it is the right one

Okay, so I think it doesn't find the correct Task, otherwise it wouldn't print the warning,
How do you setup the HPO class ? Could you copy paste the code?

Yes and I double check in python and I get the dictionnary with: Args/...

For the train.py do I need a setup.py file in my repo to work corerctly with the agent ? For now it is just the path to train,py

The only thing to patch is the train.py issue

Ok so I installed the last version of clearml and the hyperparameters are found now

Hi ConvincingSwan15

For the train.py do I need a setup.py file in my repo to work corerctly with the agent ? For now it is just the path to train,py

I'm assuming the train.py is part of the repository, no?
If it is, how come the agent after cloning the repository cannot find it ?
Could it be it was accidentally not added to the git repo ?

Hi ConvincingSwan15
A few background questions:

Where is the code that we want to optimize? Do you already have a Task of that code executed?

"find my learning script"

Could you elaborate ? is this connect to the first question ?

Hmm ConvincingSwan15

WARNING - Could not find requested hyper-parameters ['Args/patch_size', 'Args/nb_conv', 'Args/nb_fmaps', 'Args/epochs'] on base task

Is this correct ? Can you see these arguments on the original Task in the UI (i.e. Args section, parameter epochs?)

an_optimizer = HyperParameterOptimizer( base_task_id="6f3bf2ecbb964ff3b2a6111c34cb0fa3", hyper_parameters=[ DiscreteParameterRange('Args/patch_size', values=[32, 64, 128]), DiscreteParameterRange('Args/nb_conv', values=[2, 3, 4]), DiscreteParameterRange('Args/nb_fmaps', values=[30, 35, 40]), DiscreteParameterRange('Args/epochs', values=[30]), ], objective_metric_title='valid_average_dice_epoch', objective_metric_series='valid_average_dice_epoch', objective_metric_sign='max', max_number_of_concurrent_tasks=1, optimizer_class=GridSearch, execution_queue="default", spawn_project=None, save_top_k_tasks_only=None, pool_period_min=0.2, total_max_jobs=1, min_iteration_per_job=10, max_iteration_per_job=30, )

BTW

/home/local/user/.clearml/venvs-builds/3.7/bin/python: can't open file 'train.py': [Errno 2] No such file or directory

This error is from the agent, correct? it seems it did not clone the correct code, is train.py committed to the repository ?

The log of my optimizer looks like this:
Task: {'template_task_id': '6f3bf2ecbb964ff3b2a6111c34cb0fa3', 'run_as_service': False} 2021-03-30 10:45:25,413 - trains.automation.optimization - WARNING - Could not find requested hyper-parameters ['Args/patch_size', 'Args/nb_conv', 'Args/nb_fmaps', 'Args/epochs'] on base task 6f3bf2ecbb964ff3b2a6111c34cb0fa3 2021-03-30 10:45:25,433 - trains.automation.optimization - WARNING - Could not find requested metric ('dice', 'dice') report on base task 6f3bf2ecbb964ff3b2a6111c34cb0fa3 Progress report #0 completed, sleeping for 0.25 minutes 2021-03-30 10:45:25,639 - trains.automation.optimization - INFO - Creating new Task: {'Args/patch_size': 32, 'Args/nb_conv': 2, 'Args/nb_fmaps': 30, 'Args/epochs': 30}

Hi AgitatedDove14
The code is on a private repo (clearml-agent is configure with ssh key and get the code correctly) Otherwise I run the code directly on my computer. The code was previously ran in a task and the task seems to be correctly loaded. I get the right id from the get_task function.

When the optimizer try to run the first batch of hyperparameter I get this error message in the log /home/local/user/.clearml/venvs-builds/3.7/bin/python: can't open file 'train.py': [Errno 2] No such file or directory

Hmm, maybe the original Task was executed with older versions? (before the section names were introduced)
Let's try:
DiscreteParameterRange('epochs', values=[30]),Does that gives a warning ?

It was run with the exact same version. And I got the same message with "epochs" only.