You are right! I added this and indeed issue was solved. Thanks!

Im running of Dell XPS 15 7590 with OS Ubuntu 22.04.2 (not a mac)
proocessor - x86_64.
Did update but still getting same error

the original Task is created by simply executing code, not through agent

I tried adding
Task.add_requirements("cudatoolkit==12.2")#replacing pip install cudatoolkit==12.2

but then got
...
agent.package_manager.torch_nightly = false
agent.package_manager.poetry_files_from_repo_working_dir = false
agent.venvs_dir = /home/rakefet/.clearml/venvs-builds
agent.venvs_cache.max_entries = 10
agent.venvs_cache.free_space_threshold_gb = 2.0
agent.venvs_cache.path = ~/.clearml/venvs-cache
agent.vcs_cache.enabled = true
agent.vcs_cache.path = /home/rakefet/.clearml/vcs-cache
...

It may be related to the fact i re-installed cuda drivers. and did not re-create the virtual envs. However, on my pc it runs on gpu with no errors

from einops import rearrange, repeat
ModuleNotFoundError: No module named 'einops'

I don't see why the dictionary is special

After removing the task.connect lines, it encountered another error related to 'einops' that is not recognized. It does exist on my environment file but was not installed by the agent (according to what I see on 'Summary - installed python packages'. should I add this manually?

Ok..so I should generally avoid connecting complex objects? I guess I would create a 'mini dictionary' with a subset of params, and connectvthis instead.

After removing the task.connect lines, it encountered another error related to 'einops' that is not recognized. It does exist on my environment file but was not installed by the agent (according to what I see on 'Summary - installed python packages'. should I add this manually?

I managed to get to the stage where 'Environment setup completed successfully' for the enqueued task!
However, now I encountered another issue - an error that did not occur on the manual run.
Related to
task.connect(config.model,name='model params')
I wonder if this is related to environment

Training Translator ...
Traceback (most recent call last):
File "main.py", line 119, in <module>
from bin.train_module import Solver
File "/home/rakefet/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/binding/import_bind.py", line 54, in __patched_import3
mod = builtins.org_import(
File "/home/rakefet/.clearml/venvs-builds/3.8/task_repository/vq-bnf-translator-Rakefet.git/bin/train_module.py", line 4, in <module>
from src.solver import BaseSolver
File...

As you mentioned, requirement for 'cudatoolkit=12.2' is internal to clearml-agent, so I have no access of how to solve it.

on the virtual env, these are the installed packaged-

looking at 'installed packages' section after Taske reset I only see that ( NO cuda toolkit)-

Python 3.8.17 (default, Jul 5 2023, 21:04:15) [GCC 11.2.0]

AMFM_decompy == 1.0.11
Cython == 3.0.2
Pillow == 10.0.0
PyYAML == 6.0.1
bitarray == 2.8.1
clearml == 1.12.2
einops == 0.6.1
hydra_core == 1.0.7
joblib == 1.3.2
librosa == 0.10.1
matplotlib == 3.7.2
numpy == 1.24.4
omegaconf == 2.0.6
packaging == 23.1
psutil == 5.9.5
regex == 2023.8.8
requests == 2.31.0
sacrebleu == 2.3.1
scikit_learn == ...

This is holding me from proceeding for quite a long.. perhapse we can meet virtually and solve it?

on agent config I use conda , as I previously shared

looking now i think it's probably since on my code I first read parameters from config file-
config = HpsYaml(paras.config)
and after that, I set these parameters to dictionary, which I connect to the task-
hparams_dict = {'batch_size': config.hparas.batch_size,
'valid_step': config.hparas.valid_step,
'max_step': config.hparas.max_step}
parameters = task.connect(hparams_dict, name='hyper_params')
So maybe the parameters from the config file override th...

ClearML results page: None
Traceback (most recent call last):
File "main.py", line 85, in <module>
task.connect(config.hparas,name='hyper params')
File "/home/rakefet/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 1455, in connect
return method(mutable, name=name)
File "/home/rakefet/.clearml/venvs-builds/3.8/lib/python3.8/site...

locally the virtual env is created with conda, but inside it there are also packages installed with pip. Is that what you mean?

can you suggest a solution or a workaround?

Hi. To be on the safe side, I recreated the virtual env, ran locally and after through locally installed agent.
I get the same error - see log file.

Also, I am indeed using conda as package manager.
package_manager: {
# supported options: pip, conda, poetry
type: conda,

Hi, Thanks! I thought it would be good to use conda since I used it on my local machine , but I understand now pip can manage everything.

I dont know where cudatoolkit=12.2 is taken from. Its not on requirements.txt

Hi, I rerun now after minor updates. Get similar error in the same part of code-
Traceback (most recent call last):
File "main.py", line 84, in <module>
task.connect(config.model,name='model params')
File "/home/rakefet/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 1455, in connect
return method(mutable, name=name)
File "/home/rakefet/.clearml/venvs-builds/3.8/lib/python3.8/site-packages/clearml/task.py", line 3573, in _connect_dictionary
dicti...

But what about this error?
ERROR: Invalid requirement: 'cudatoolkit=12.2'
Hint: = is not a valid operator. Did you mean == ?
RequirementsManager handler
...
exception: Failed installing GIT/HTTPs package 'cudatoolkit=12.2'
Failed installing GIT/HTTPs package 'cudatoolkit=12.2'
clearml_agent: ERROR: Could not install task requirements!

What is the origin of cudatoolkit=12.2 ? How should I resolve it?