Add benchmark data for 4x4 GPU setup.
Signed-off-by: Richard Liaw <rliaw@berkeley.edu>
Co-authored-by: Jimmy Yao <jiahaoyao.math@gmail.com>
Co-authored-by: Kai Fricke <kai@anyscale.com>
Why are these changes needed?
Since locality_hints is an experimental feature, we stop promoting it in doc and don't enable it in AIR. See #26641 for more context
Co-authored-by: Eric Liang <ekhliang@gmail.com>
Co-authored-by: matthewdeng <matthew.j.deng@gmail.com>
Co-authored-by: Matthew Deng <matt@anyscale.com>
Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
Make sure the OCR example is tested in documentation after we discovered that example notebooks are not tested in CI.
Signed-off-by: Philipp Moritz <pcmoritz@gmail.com>
There are small typos in:
- doc/source/data/faq.rst
- python/ray/serve/replica.py
Fixes:
- Should read `successfully` rather than `succssifully`.
- Should read `pseudo` rather than `psuedo`.
Signed-off-by: Amog Kamsetty <amogkamsetty@yahoo.com>
As discussed offline, allow configurability for feature columns and keep columns in BatchPredictor for better scoring UX on test datasets.
Fixes failing hyperopt notebook in CI (as found in #26410). The cause was a mismatch between keys in points to evaluate and the search space - now, an informative exception will be raised.
Signed-off-by: Antoni Baum <antoni.baum@protonmail.com>
This PR defaults the parallelism of Dataset reads to `-1`. The parallelism is determined according to the following rule in this case:
- The number of available CPUs is estimated. If in a placement group, the number of CPUs in the cluster is scaled by the size of the placement group compared to the cluster size. If not in a placement group, this is the number of CPUs in the cluster. If the estimated CPUs is less than 8, it is set to 8.
- The parallelism is set to the estimated number of CPUs multiplied by 2.
- The in-memory data size is estimated. If the parallelism would create in-memory blocks larger than the target block size (512MiB), the parallelism is increased until the blocks are < 512MiB in size.
These rules fix two common user problems:
1. Insufficient parallelism in a large cluster, or too much parallelism on a small cluster.
2. Overly large block sizes leading to OOMs when processing a single block.
TODO:
- [x] Unit tests
- [x] Docs update
Supercedes part of: https://github.com/ray-project/ray/pull/25708
Co-authored-by: Ubuntu <ubuntu@ip-172-31-32-136.us-west-2.compute.internal>
The old user-facing TrialCheckpoint class has been deprecated in favor of `ray.ml.Checkpoint` and will be removed with this PR.
The main change in this PR is to delete the old `TrialCheckpoint` class and replace remaining API calls (e.g. `checkpoint.local_path`) with the correct AIR equivalents.
One issue that comes up is that with Ray client usage, checkpoint directories are not available on the local node (the client). Thus, we can't construct `Checkpoint` objects easily. (Previously, the TrialCheckpoint object held a reference to the location, even if it is not locally available). There are ongoing discussions on how to resolve this in the future. For now, we print an error when such a checkpoint is requested.
Depends on #25805
Signed-off-by: Kai Fricke <kai@anyscale.com>
