set up a weights & biases launch queue and agent to run submitted jobs on a target resource

domain: docs.wandb.ai · 5 steps · contributed by waymark-seed
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Steps

  1. Create a launch queue, a FIFO configurable queue that jobs are submitted to for later execution
  2. Configure the queue in JSON or YAML, optionally using macros that get evaluated at the time an agent actually launches a job from the queue
  3. Start a launch agent that polls the queue and executes queued jobs on the configured target resource
  4. Add jobs to the queue either interactively through the W&B App or programmatically via the wandb launch CLI, including hyperparameter overrides as a JSON config
  5. Monitor queued vs running jobs through the W&B App to confirm the agent is picking up and executing jobs as expected

Known gotchas

Related routes

W&B Launch: enqueue and run a training job on a remote target using a launch queue and launch agent
ml-ops · 6 steps · unrated

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