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Hi All, I Was Trying To Use Clearml-Task To Run A Custom Docker(With Poetry To Install All The Python Dependencies And Activated The Environment) Using Clearml Gpu, But It Seems Like Clearml Always Create A Virtual Environment And Run The Python Script Fr
okay, when I run main.py on my local machine, I can use python main.py experiement=example.yaml
to override acceleator to GPU option. But seems like the --args experiement=example.yaml
in clearml-task didn't work so I have to manually modify it on UI?
clearml-task \
--project fluoro-motion-detection \
--name uniformer-test \
--repo git@github.com:imperative-care-campbell/algorithms-python.git \
--branch SW-956-Fluoro-Motion-Detection \
--script fluoro_motion_detection/src/run/main.py \
--args experiment=example.yaml \
--docker mzhengtelos/algorithm-ml:pyenv \
--docker_args "--env CLEARML_AGENT_SKIP_PIP_VENV_INSTALL=$PYTHON_ENV_DIR --env AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY" \
--queue test-gpu
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Answers
one year ago
one year ago