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Do I Understand Correctly That Python Versions Must Match Between Client (My Mac, Sends Task For Remote Execution) And Clearml-Agent?
I Don’T Really Get How The Environments Are Managed. All I Want To Do Is Take My Code And Execute It On The Agent Machin
Locally I have a conda env with some packages and a basic requirements file.
I am running this thing:
` from clearml import Task, Dataset
task = Task.init(project_name='Adhoc', task_name='Dataset test')
task.execute_remotely(queue_name="gpu")
from config import DATASET_NAME, CLEARML_PROJECT
print('Getting dataset')
dataset_path = Dataset.get(
dataset_name=DATASET_NAME,
dataset_project=CLEARML_PROJECT,
).get_local_copy()#.get_mutable_local_copy(DATASET_NAME)
print('Dataset path', dataset_path) `Then on the server side I have clear-ml agent running in default (venv) mode, started from a conda env with the same python version. Then it does something to packages and crashes
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2 years ago
one year ago
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