tensorflow / tensorflow/tensorboard
Is there a way to visualize different worker runs separately for a distributed Tensorflow run
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Description
I am running Tensorboard on distributed training logs. I can see operations on different parameter servers. They are color coded differently with device placement toggle. But, I can’t see operations run on different workers separately. Looks like everything has got merged in to worker 0.
Is there any way, to take a look at what different workers are doing in distributed settings?
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Research direction
Reproduce the distributed TensorFlow run in TensorBoard using logs from parameter servers and multiple workers, then inspect the device-placement visualization and its worker-0 aggregation. Determine whether the existing visualization can expose worker-specific operations; done means operations from different workers are displayed separately.
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Assessment
- Tech stack
- tensorflow
- Domain
- data-visualization, distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100