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Add CompressionLevel Calculation for PQ #2200
Add CompressionLevel Calculation for PQ #2200
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should we allow more compression level? |
@@ -29,6 +29,8 @@ public enum CompressionLevel { | |||
x16(16, "16x", new RescoreContext(3.0f, false), Set.of(Mode.ON_DISK)), | |||
x32(32, "32x", new RescoreContext(3.0f, false), Set.of(Mode.ON_DISK)); | |||
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public static final CompressionLevel MAX_COMPRESSION_LEVEL = CompressionLevel.x32; |
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should we have 64 as a max compression level? I don't have a solid point to have 64 but I think have 1 more extra compression is always good.
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I think that makes sense. I guess for 64x, default for all dimensions should probably be 5x.
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overall looks good to me. Just 1 minor comment.
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LGTM. Do we want to add integ test for it? Recall should be higher with rescoring than baseline.
Currently, for product quantization, we set the calculated compression level to NOT_CONFIGURED. The main issue with this is that if a user sets up a disk-based index with PQ, no re-scoring will happen by default. This change adds the calculation so that the proper re-scoring will happen. The formula is fairly straightforward => actual compression = (d * 32) / (m * code_size). Then, we round to the neareste compression level (because we only support discrete compression levels). One small issue with this is that if PQ is configured to have compression > 32x, the value will be 32x. Functionally, the only issue will be that we may not be as aggressive on oversampling for on disk mode. Signed-off-by: John Mazanec <[email protected]>
Signed-off-by: John Mazanec <[email protected]>
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Currently, for product quantization, we set the calculated compression level to NOT_CONFIGURED. The main issue with this is that if a user sets up a disk-based index with PQ, no re-scoring will happen by default. This change adds the calculation so that the proper re-scoring will happen. The formula is fairly straightforward => actual compression = (d * 32) / (m * code_size). Then, we round to the neareste compression level (because we only support discrete compression levels). One small issue with this is that if PQ is configured to have compression > 64x, the value will be 64x. Functionally, the only issue will be that we may not be as aggressive on oversampling for on disk mode. Signed-off-by: John Mazanec <[email protected]> (cherry picked from commit 228aead)
@jmazanec15 did we do any benchmarks which suggest how much improvement we will get with PQ based rescoring? |
@navneet1v we did here: #1779 (comment) |
Thanks. I completely forgot about that. |
Description
Currently, for product quantization, we set the calculated compression level to NOT_CONFIGURED. The main issue with this is that if a user sets up a disk-based index with PQ, no re-scoring will happen by default.
This change adds the calculation so that the proper re-scoring will happen. The formula is fairly straightforward =>
actual compression = (d * 32) / (m * code_size). Then, we round to the neareste compression level (because we only support discrete compression levels).
One small issue with this is that if PQ is configured to have compression > 32x, the value will be 32x. Functionally, the only issue will be that we may not be as aggressive on oversampling for on disk mode.
Check List
--signoff
.By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.
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