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TurboQuant: Block Decomposition #8139

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TurboQuant: Block Decomposition #8139

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2bb3b2a
feat(vortex-turboquant): block-aware config, metadata, and seed deriv…
connortsui20 May 29, 2026
ad81988
refactor(vortex-turboquant): block-aware encode/decode pipeline
connortsui20 May 29, 2026
962c7fc
test(vortex-turboquant): block-decomposition coverage and docs
connortsui20 May 29, 2026
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35 changes: 29 additions & 6 deletions Cargo.lock
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2 changes: 2 additions & 0 deletions vortex-turboquant/Cargo.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@ workspace = true
half = { workspace = true }
num-traits = { workspace = true }
prost = { workspace = true }
tracing = { workspace = true }
vortex-array = { workspace = true }
vortex-buffer = { workspace = true }
vortex-error = { workspace = true }
Expand All @@ -32,6 +33,7 @@ vortex-utils = { workspace = true, features = ["dashmap"] }
divan = { workspace = true }
rand = { workspace = true }
rstest = { workspace = true }
tracing-test = "0.2"
vortex-file = { workspace = true }
vortex-io = { workspace = true }
vortex-layout = { workspace = true }
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8 changes: 4 additions & 4 deletions vortex-turboquant/benches/encode_decode.rs
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Expand Up @@ -4,9 +4,9 @@
//! Benchmarks for `turboquant_encode` and `turboquant_decode` across different validity-mask
//! shapes.
//!
//! The four mask shapes (`AllTrue`, `AllFalse`, dense `Values`, sparse `Values`) exercise the
//! variant-specialized paths added in the mask refactor in `vector/normalize.rs`,
//! `vector/quantize.rs`, and `scalar_fns/decode.rs`.
//! The four mask shapes (`AllTrue`, `AllFalse`, dense `Values`, sparse `Values`) exercise both
//! the encoder's per-row mask dispatch in `vector/quantize.rs` and the variant-specialized mask
//! arms in `scalar_fns/decode.rs`.

#![expect(clippy::unwrap_used)]

Expand Down Expand Up @@ -118,7 +118,7 @@ fn decode(encoded: ArrayRef, ctx: &mut ExecutionCtx) -> ArrayRef {

fn config() -> TurboQuantConfig {
// 4 bits, 4 SORF rounds, fixed seed: representative defaults from the test fixtures.
TurboQuantConfig::try_new(4, 0xDEADBEEF, 4).unwrap()
TurboQuantConfig::try_new(4, 0xDEADBEEF, 4, None).unwrap()
}

#[divan::bench(args = MASK_SHAPES)]
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