tasq/node_modules/@claude-flow/neural/dist/modes/edge.d.ts

85 lines
2.3 KiB
TypeScript

/**
* Edge Mode Implementation
*
* Optimized for resource-constrained environments with:
* - <5MB memory footprint
* - Minimal latency (<1ms)
* - Micro-LoRA (rank-1)
* - Aggressive pruning
* - Async updates
*/
import type { SONAModeConfig, Trajectory, Pattern, PatternMatch, LoRAWeights, EWCState } from '../types.js';
import { BaseModeImplementation } from './base.js';
/**
* Edge mode for resource-constrained devices
*/
export declare class EdgeMode extends BaseModeImplementation {
readonly mode = "edge";
private compressedPatterns;
private quantizedWeights;
private quantizationScale;
private pendingUpdates;
private updateTimer;
private totalOps;
private totalTime;
initialize(): Promise<void>;
cleanup(): Promise<void>;
/**
* Find patterns using compressed embeddings
*/
findPatterns(embedding: Float32Array, k: number, patterns: Pattern[]): Promise<PatternMatch[]>;
/**
* Lightweight learning with async updates
*/
learn(trajectories: Trajectory[], config: SONAModeConfig, ewcState: EWCState): Promise<number>;
/**
* Apply quantized LoRA
*/
applyLoRA(input: Float32Array, weights?: LoRAWeights): Promise<Float32Array>;
getStats(): Record<string, number>;
/**
* Compress embedding to 8-bit representation
*/
private compressEmbedding;
/**
* Create compressed pattern representation
*/
private createCompressedPattern;
/**
* Fast similarity on compressed embeddings
*/
private compressedSimilarity;
/**
* Get or create quantized weights
*/
private getOrQuantize;
/**
* Quantize float weights to int8
*/
private quantizeWeights;
/**
* Apply LoRA with quantized weights
*/
private applyQuantizedLoRA;
/**
* Queue an async update
*/
private queueAsyncUpdate;
/**
* Process pending async updates
*/
private processAsyncUpdates;
/**
* Perform lightweight parameter update
*/
private performLightweightUpdate;
/**
* Find most similar compressed pattern
*/
private findSimilarCompressedPattern;
/**
* Estimate memory usage in MB
*/
private estimateMemoryUsage;
}
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