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Quantization Framework Implementation with 1bit and MultiBit Binary Q…
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Vikasht34 committed Aug 3, 2024
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3 changes: 2 additions & 1 deletion CHANGELOG.md
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Expand Up @@ -27,4 +27,5 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
* Clean up parsing for query [#1824](https://github.com/opensearch-project/k-NN/pull/1824)
* Refactor engine package structure [#1913](https://github.com/opensearch-project/k-NN/pull/1913)
* Refactor method structure and definitions [#1920](https://github.com/opensearch-project/k-NN/pull/1920)
* Generalize lib interface to return context objects [#1925](https://github.com/opensearch-project/k-NN/pull/1925)
* Generalize lib interface to return context objects [#1925](https://github.com/opensearch-project/k-NN/pull/1925)
* Quantization Framework For Disk Optimized Vector Search and Implementation of Binary 1Bit and multibit quantizer[#1889](https://github.com/opensearch-project/k-NN/issues/1889)
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.enums;

/**
* The QuantizationType enum represents the different types of quantization
* that can be applied in the KNN.
*
* <ul>
* <li><b>SPACE_QUANTIZATION:</b> This type of quantization focuses on the space
* or the representation of the data vectors. It is commonly used for techniques
* that reduce the dimensionality or discretize the data space.</li>
* <li><b>VALUE_QUANTIZATION:</b> This type of quantization focuses on the values
* within the data vectors. It involves mapping continuous values into discrete
* values, which can be useful for compressing data or reducing the precision
* of the representation.</li>
* </ul>
*/
public enum QuantizationType {
/**
* Represents space quantization, typically involving dimensionality reduction
* or space partitioning techniques.
*/
SPACE_QUANTIZATION,

/**
* Represents value quantization, typically involving the conversion of continuous
* values into discrete ones.
*/
VALUE_QUANTIZATION,
}
60 changes: 60 additions & 0 deletions src/main/java/org/opensearch/knn/quantization/enums/SQTypes.java
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.enums;

/**
* The SQTypes enum defines the various scalar quantization types that can be used
* in the KNN for vector quantization.
* Each type corresponds to a different bit-width representation of the quantized values.
*/
public enum SQTypes {
/**
* FP16 quantization uses 16-bit floating-point representation.
*/
FP16,

/**
* FP8 quantization uses 8-bit floating-point representation.
*/
FP8,

/**
* INT8 quantization uses 8-bit integer representation.
*/
INT8,

/**
* INT6 quantization uses 6-bit integer representation.
*/
INT6,

/**
* INT4 quantization uses 4-bit integer representation.
*/
INT4,

/**
* ONE_BIT quantization uses a single bit per coordinate.
*/
ONE_BIT,

/**
* TWO_BIT quantization uses two bits per coordinate.
*/
TWO_BIT,

/**
* FOUR_BIT quantization uses four bits per coordinate.
*/
FOUR_BIT,

/**
* UNSUPPORTED_TYPE is used to denote quantization types that are not supported.
* This can be used as a placeholder or default value.
*/
UNSUPPORTED_TYPE
}

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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.enums;

/**
* The ValueQuantizationType enum defines the types of value quantization techniques
* that can be applied in the KNN.
*/
public enum ValueQuantizationType {
/**
* SQ (Scalar Quantization) represents a method where each coordinate of the vector is quantized
* independently.
*/
SQ
}


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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.factory;

import org.opensearch.knn.quantization.models.quantizationParams.QuantizationParams;
import org.opensearch.knn.quantization.quantizer.Quantizer;

import java.util.concurrent.atomic.AtomicBoolean;

/**
* The QuantizerFactory class is responsible for creating instances of {@link Quantizer}
* based on the provided {@link QuantizationParams}. It uses a registry to look up the
* appropriate quantizer implementation for the given quantization parameters.
*/
public final class QuantizerFactory {
private static final AtomicBoolean isRegistered = new AtomicBoolean(false);

// Private constructor to prevent instantiation
private QuantizerFactory() {}

/**
* Ensures that default quantizers are registered.
*/
private static void ensureRegistered() {
if (!isRegistered.get()) {
synchronized (QuantizerFactory.class) {
if (!isRegistered.get()) {
QuantizerRegistrar.registerDefaultQuantizers();
isRegistered.set(true);
}
}
}
}

/**
* Retrieves a quantizer instance based on the provided quantization parameters.
*
* @param params the quantization parameters used to determine the appropriate quantizer
* @param <P> the type of quantization parameters, extending {@link QuantizationParams}
* @param <Q> the type of the quantized output
* @return an instance of {@link Quantizer} corresponding to the provided parameters
*/
public static <P extends QuantizationParams, Q> Quantizer<P, Q> getQuantizer(final P params) {
if (params == null) {
throw new IllegalArgumentException("Quantization parameters must not be null.");
}
// Lazy Registration instead of static block as class level;
ensureRegistered();
return QuantizerRegistry.getQuantizer(params);
}
}
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.factory;

import org.opensearch.knn.quantization.enums.QuantizationType;
import org.opensearch.knn.quantization.enums.SQTypes;
import org.opensearch.knn.quantization.models.quantizationParams.SQParams;
import org.opensearch.knn.quantization.quantizer.MultiBitScalarQuantizer;
import org.opensearch.knn.quantization.quantizer.OneBitScalarQuantizer;

/**
* The QuantizerRegistrar class is responsible for registering default quantizers.
* This class ensures that the registration happens only once in a thread-safe manner.
*/
final class QuantizerRegistrar {

// Private constructor to prevent instantiation
private QuantizerRegistrar() {
}

/**
* Registers default quantizers if not already registered.
* <p>
* This method is synchronized to ensure that registration occurs only once,
* even in a multi-threaded environment.
* </p>
*/
public static synchronized void registerDefaultQuantizers() {
// Register OneBitScalarQuantizer for SQParams with VALUE_QUANTIZATION and SQTypes.ONE_BIT
QuantizerRegistry.register(
SQParams.class,
QuantizationType.VALUE_QUANTIZATION,
SQTypes.ONE_BIT,
OneBitScalarQuantizer::new
);
// Register MultiBitScalarQuantizer for SQParams with VALUE_QUANTIZATION with bit per co-ordinate = 2
QuantizerRegistry.register(
SQParams.class,
QuantizationType.VALUE_QUANTIZATION,
SQTypes.TWO_BIT,
() -> new MultiBitScalarQuantizer(2)
);
// Register MultiBitScalarQuantizer for SQParams with VALUE_QUANTIZATION with bit per co-ordinate = 4
QuantizerRegistry.register(
SQParams.class,
QuantizationType.VALUE_QUANTIZATION,
SQTypes.FOUR_BIT,
() -> new MultiBitScalarQuantizer(4)
);
}
}
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.factory;

import org.opensearch.knn.quantization.enums.QuantizationType;
import org.opensearch.knn.quantization.enums.SQTypes;
import org.opensearch.knn.quantization.models.quantizationParams.QuantizationParams;
import org.opensearch.knn.quantization.quantizer.Quantizer;

import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.function.Supplier;

/**
* The QuantizerRegistry class is responsible for managing the registration and retrieval
* of quantizer instances. Quantizers are registered with specific quantization parameters
* and type identifiers, allowing for efficient lookup and instantiation.
*/
final class QuantizerRegistry {

// Private constructor to prevent instantiation
private QuantizerRegistry() {}

//ConcurrentHashMap for thread-safe access
private static final Map<String, Supplier<? extends Quantizer<?, ?>>> registry = new ConcurrentHashMap<>();

/**
* Registers a quantizer with the registry.
*
* @param paramClass the class of the quantization parameters
* @param quantizationType the quantization type (e.g., VALUE_QUANTIZATION)
* @param sqType the specific quantization subtype (e.g., ONE_BIT, TWO_BIT)
* @param quantizerSupplier a supplier that provides instances of the quantizer
* @param <P> the type of quantization parameters
*/
public static <P extends QuantizationParams> void register( final Class<P> paramClass,
final QuantizationType quantizationType,
final SQTypes sqType,
final Supplier<? extends Quantizer<?, ?>> quantizerSupplier) {
String identifier = createIdentifier(quantizationType, sqType);
// Ensure that the quantizer for this identifier is registered only once
registry.computeIfAbsent(identifier, key -> quantizerSupplier);
}

/**
* Retrieves a quantizer instance based on the provided quantization parameters.
*
* @param params the quantization parameters used to determine the appropriate quantizer
* @param <P> the type of quantization parameters
* @param <Q> the type of the quantized output
* @return an instance of {@link Quantizer} corresponding to the provided parameters
* @throws IllegalArgumentException if no quantizer is registered for the given parameters
*/
public static <P extends QuantizationParams, Q> Quantizer<P, Q> getQuantizer(final P params) {
String identifier = params.getTypeIdentifier();
Supplier<? extends Quantizer<?, ?>> supplier = registry.get(identifier);
if (supplier == null) {
throw new IllegalArgumentException("No quantizer registered for type identifier: " + identifier +
". Available quantizers: " + registry.keySet());
}
@SuppressWarnings("unchecked")
Quantizer<P, Q> quantizer = (Quantizer<P, Q>) supplier.get();
return quantizer;
}

/**
* Creates a unique identifier for the quantizer based on the quantization type and specific quantization subtype.
*
* @param quantizationType the quantization type
* @param sqType the specific quantization subtype
* @return a string identifier
*/
private static String createIdentifier(final QuantizationType quantizationType, final SQTypes sqType) {
return quantizationType.name() + "_" + sqType.name();
}
}
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.models.quantizationOutput;

/**
* The BinaryQuantizationOutput class represents the output of a quantization process in binary format.
* It implements the QuantizationOutput interface to handle byte arrays specifically.
*/
public class BinaryQuantizationOutput implements QuantizationOutput<byte[]> {
private final byte[] quantizedVector;

/**
* Constructs a BinaryQuantizationOutput instance with the specified quantized vector.
*
* @param quantizedVector the quantized vector represented as a byte array.
*/
public BinaryQuantizationOutput(final byte[] quantizedVector) {
if (quantizedVector == null) {
throw new IllegalArgumentException("Quantized vector cannot be null");
}
this.quantizedVector = quantizedVector;
}

@Override
public byte[] getQuantizedVector() {
return quantizedVector;
}
}
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/*
* Copyright OpenSearch Contributors
* SPDX-License-Identifier: Apache-2.0
*/

package org.opensearch.knn.quantization.models.quantizationOutput;

/**
* The QuantizationOutput interface defines the contract for quantization output data.
*
* @param <T> The type of the quantized data.
*/
public interface QuantizationOutput<T> {
/**
* Returns the quantized vector.
*
* @return the quantized data.
*/
T getQuantizedVector();
}


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