pub struct QuantizationBenchmarker;Expand description
Benchmark utilities for quantization evaluation
Implementations§
Source§impl QuantizationBenchmarker
impl QuantizationBenchmarker
Sourcepub fn benchmark_scalar(
quantizer: &ScalarQuantizer,
vectors: &[Vec<f32>],
queries: &[Vec<f32>],
ground_truth: &[Vec<usize>],
k_values: &[usize],
) -> Result<QuantizationBenchmark>
pub fn benchmark_scalar( quantizer: &ScalarQuantizer, vectors: &[Vec<f32>], queries: &[Vec<f32>], ground_truth: &[Vec<usize>], k_values: &[usize], ) -> Result<QuantizationBenchmark>
Benchmark scalar quantization on a dataset
§Arguments
quantizer- Trained scalar quantizervectors- Test vectorsqueries- Query vectorsground_truth- Ground truth k-NN for each query (indices into vectors)k_values- Values of k to measure recall at
Sourcepub fn benchmark_pq(
pq: &ProductQuantizer,
vectors: &[Vec<f32>],
queries: &[Vec<f32>],
ground_truth: &[Vec<usize>],
k_values: &[usize],
) -> Result<QuantizationBenchmark>
pub fn benchmark_pq( pq: &ProductQuantizer, vectors: &[Vec<f32>], queries: &[Vec<f32>], ground_truth: &[Vec<usize>], k_values: &[usize], ) -> Result<QuantizationBenchmark>
Benchmark product quantization on a dataset
Sourcepub fn compute_ground_truth(
vectors: &[Vec<f32>],
queries: &[Vec<f32>],
k: usize,
) -> Vec<Vec<usize>>
pub fn compute_ground_truth( vectors: &[Vec<f32>], queries: &[Vec<f32>], k: usize, ) -> Vec<Vec<usize>>
Compute ground truth k-NN using brute force L2 distance
Sourcepub fn compare_methods(
vectors: &[Vec<f32>],
queries: &[Vec<f32>],
k_values: &[usize],
) -> Result<QuantizationComparison>
pub fn compare_methods( vectors: &[Vec<f32>], queries: &[Vec<f32>], k_values: &[usize], ) -> Result<QuantizationComparison>
Compare multiple quantization methods
Auto Trait Implementations§
impl Freeze for QuantizationBenchmarker
impl RefUnwindSafe for QuantizationBenchmarker
impl Send for QuantizationBenchmarker
impl Sync for QuantizationBenchmarker
impl Unpin for QuantizationBenchmarker
impl UnwindSafe for QuantizationBenchmarker
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