Comments (1)
I use num_gpus_per_worker
uncorrectly, and I use tf and tfe, it works well, but torch
will return list index out of range. And I downgraded ray from 1.4 to 0.8.7, and now it works well.It is a bug for ray 1.4?
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Related Issues (20)
- Typos in ray-crash-course
- file_1 and file_2 missing from crash course
- Ray CLUSTER HA
- May I ask why ray remote can not send dict? HOT 1
- Support running in a Docker image on a local machine
- num_return_vals issue HOT 1
- calculate the distance between user's ratings to cluster's centers HOT 1
- Live Plots Not Updating HOT 1
- Update envirnment.yml to get the latest ray version HOT 2
- AssertionError when run 01-Ray-Tasks.ipynb HOT 4
- No 'experiment_tag' in analysis.dataframe(), all parameters are shown the same
- checkpoint for Tune's PBT
- Update the Ray Summit banner on the README(s)
- ray-crash-course/06-Exploring-Ray-API-Calls.ipynb there is an incorrect API parameter
- Crash course, notebook 01 Tasks - unreadable text
- Invalid parameter in first Tune notebook
- AssertionError on calling `run_simulations(dmaps)` 01-Ray-Tasks.ipynb HOT 2
- [04-Ray-Multiprocessing] 'BatchedCalls' object has no attribute '_reducer_callback'
- Question about update coord in JokeRec/step in rayrllib/recsys/01-Recsys.ipynb
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