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[Data] [CI] Add batch inference benchmarks #37283
[Data] [CI] Add batch inference benchmarks #37283
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Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
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LG w/ some minor comments.
release/air_tests/air_benchmarks/workloads/compute_hetero_10x10_aws.yaml
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release/air_tests/air_benchmarks/workloads/gpu_batch_prediction.py
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release/release_tests.yaml
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# 10 GB image classification raw images with 1 GPU. | ||
# 1 g4dn.4xlarge | ||
- name: air_benchmark_torch_batch_prediction_1_gpu_10gb_parquet |
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do we still want to keep (10GB, 1GPU), given we already have (300GB, 16GPU) to run nightly?
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I think it can help...it's a pretty cheap job cost wise and can help isolate whether regressions are occurring in the single node/single GPU case, or only in the multi node case. But I am open to removing it.
release/air_tests/air_benchmarks/workloads/gpu_batch_prediction.py
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Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
@amogkam - is it good to merge? |
Signed-off-by: amogkam <[email protected]>
…nce-release-tests
Signed-off-by: amogkam <[email protected]>
@c21, no, let me kick off the release test |
Signed-off-by: amogkam <[email protected]>
10 tb test passing with 11580.81978035109 images/second https://buildkite.com/ray-project/release-tests-pr/builds/46310 |
…nce-release-tests Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Signed-off-by: amogkam <[email protected]>
Adds the following benchmarks as release tests Image classification on 10 GB raw image data, 1 GPU Image classification on 10 GB parquet data, 1 GPU Image classification on 300 GB raw image data, 16 GPUs Image classification on 300 GB parquet data, 16 GPUs Image classification on 10 TB parquet data, 40 GPUs, weekly frequency --------- Signed-off-by: amogkam <[email protected]> Signed-off-by: NripeshN <[email protected]>
Adds the following benchmarks as release tests Image classification on 10 GB raw image data, 1 GPU Image classification on 10 GB parquet data, 1 GPU Image classification on 300 GB raw image data, 16 GPUs Image classification on 300 GB parquet data, 16 GPUs Image classification on 10 TB parquet data, 40 GPUs, weekly frequency --------- Signed-off-by: amogkam <[email protected]> Signed-off-by: harborn <[email protected]>
Adds the following benchmarks as release tests Image classification on 10 GB raw image data, 1 GPU Image classification on 10 GB parquet data, 1 GPU Image classification on 300 GB raw image data, 16 GPUs Image classification on 300 GB parquet data, 16 GPUs Image classification on 10 TB parquet data, 40 GPUs, weekly frequency --------- Signed-off-by: amogkam <[email protected]>
Adds the following benchmarks as release tests Image classification on 10 GB raw image data, 1 GPU Image classification on 10 GB parquet data, 1 GPU Image classification on 300 GB raw image data, 16 GPUs Image classification on 300 GB parquet data, 16 GPUs Image classification on 10 TB parquet data, 40 GPUs, weekly frequency --------- Signed-off-by: amogkam <[email protected]> Signed-off-by: e428265 <[email protected]>
Adds the following benchmarks as release tests Image classification on 10 GB raw image data, 1 GPU Image classification on 10 GB parquet data, 1 GPU Image classification on 300 GB raw image data, 16 GPUs Image classification on 300 GB parquet data, 16 GPUs Image classification on 10 TB parquet data, 40 GPUs, weekly frequency --------- Signed-off-by: amogkam <[email protected]> Signed-off-by: Victor <[email protected]>
Adds the following benchmarks as release tests
Closes #37345
Closes #28174
Closes #31796
Why are these changes needed?
Related issue number
Checks
git commit -s
) in this PR.scripts/format.sh
to lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/
under thecorresponding
.rst
file.