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Hi, I Am Trying To Save My Trained Model Weights In S3 Bucket Instead Of Using Clearml Storage When Using Clearml-Task For Ml Training Remotely. I Tried To Use --Skip-Task-Init In Clearml-Task And Set Task.Init In My Scripts, But It Doesn'T Seem To Work.

Hi, I am trying to save my trained model weights in S3 bucket instead of using ClearML storage when using clearml-task for ml training remotely. I tried to use --skip-task-init in clearml-task and set task.init in my scripts, but it doesn't seem to work. The tags and output_uri doesn't apply to the remote training

clearml-task \
    --project fluoro-motion-detection \
    --name uniformer-train \
    --folder ~/algorithms-python \
    --script ~/algorithms-python/fluoro_motion_detection/src/run/train.py \
    --requirements ~/algorithms-python/fluoro_motion_detection/src/clearml/requirements.txt \
    --args hydra=$HYDRA_OVERRIDES \
    --docker mzhengtelos/algorithm-ml:poetry-project-cuda11.4.3-runtime-ubuntu20.04 \
    --queue test-gpu\
clearml_task = Task.init(project_name=cfg.clearml_project_name, task_name=cfg.clearml_task_name, tags=cfg.tags,

got error when using --output-uri in clearml-task clearml.storage - ERROR - Failed uploading: ' LazyEval Wrapper ' object cannot be interpreted as an integer

Posted 7 months ago
Votes Newest

Answers 3

Hi @<1523701070390366208:profile|CostlyOstrich36> , here it is

Posted 7 months ago

Hi @<1597762318140182528:profile|EnchantingPenguin77> , can you please add the full log?

Posted 7 months ago

Hi @<1523701070390366208:profile|CostlyOstrich36> , any suggestion for this error?

Posted 7 months ago