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[AIR] Place predictor kwargs in object store #30932

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merged 3 commits into from
Dec 7, 2022

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Signed-off-by: Balaji Veeramani balaji@anyscale.com

Why are these changes needed?

If you pass predictor kwargs to BatchPredictor, they get pickled. As a result, if you pass a large object (for example, a large model definition), you get a value error. This PR fixes the issue by instead placing predictor kwargs in the object store.

Related issue number

Closes #30926

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  • I've signed off every commit(by using the -s flag, i.e., git commit -s) in this PR.
  • I've run scripts/format.sh to lint the changes in this PR.
  • I've included any doc changes needed for https://docs.ray.io/en/master/.
  • I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
  • Testing Strategy
    • Unit tests
    • Release tests
    • This PR is not tested :(

Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
@bveeramani bveeramani requested a review from ericl December 6, 2022 23:21
@bveeramani bveeramani removed the request for review from ericl December 6, 2022 23:34
python/ray/train/batch_predictor.py Outdated Show resolved Hide resolved
Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
Signed-off-by: Balaji Veeramani <balaji@anyscale.com>
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@clarkzinzow clarkzinzow left a comment

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LGTM!

@clarkzinzow clarkzinzow merged commit 8c884b8 into ray-project:master Dec 7, 2022
WeichenXu123 pushed a commit to WeichenXu123/ray that referenced this pull request Dec 19, 2022
If you pass predictor kwargs to BatchPredictor, they get pickled. As a result, if you pass a large object (for example, a large model definition), you get a value error. This PR fixes the issue by instead placing predictor kwargs in the object store.

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
tamohannes pushed a commit to ju2ez/ray that referenced this pull request Jan 25, 2023
If you pass predictor kwargs to BatchPredictor, they get pickled. As a result, if you pass a large object (for example, a large model definition), you get a value error. This PR fixes the issue by instead placing predictor kwargs in the object store.

Signed-off-by: tmynn <hovhannes.tamoyan@gmail.com>
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[AIR] Memory error when using BatchPredictor with Torch checkpoint
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