jd-worker 1.3.0

Worker CLI for the JobDistributor distributed job system

Worker client (jd-worker)

Workers run jd_worker_cli, which requests jobs from the job server, executes your entry script with parameters as CLI flags, sends heartbeats, and reports DONE / ABORTED.

Full behaviour, environment variables, local paths (~/jd_data/…), and library helpers (jd_upload, checkpoints, jd_job_dir, …) are documented in docs/jd-worker.md.

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Install

From the repo root (editable):

cd job-distributor/client
python3 -m venv venv
source venv/bin/activate   # Windows: venv\Scripts\activate
pip install -e .

Or install from GitHub (see docs/jd-worker.md for branch / subdirectory).

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Run

jd_worker_cli expId=<experiment_id> entry_script=<your_script.py>

Optional: server=, port=, machine_type=, once=true, etc. — see jd_worker_cli help or docs/jd-worker.md.

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Example workload

For an end-to-end ML-style example (MNIST tuning), see
MNIST-parameter-tuning. Point entry_script at that repo’s training script and align expId with the server.