openvino-genai-node/dist/decodedResults.js

OpenVINO™ GenAI pipelines for using from Node.js environment

// Copyright (C) 2023-2026 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
/**
 * Structure to store resulting batched text outputs and scores for each batch.
 * @note The first num_return_sequences elements correspond to the first batch element.
 */
export class DecodedResults {
    /**
     * @param {string[]} texts - Vector of resulting sequences.
     * @param {number[]} scores - Scores for each sequence.
     * @param {PerfMetrics} perfMetrics - Performance metrics (tpot, ttft, etc.).
     * @param {Record<string, unknown>[]} parsed - The results of parsers processing for each sequence.
     * @param {GenerationFinishReason[]} finishReasons - Finish reasons for each sequence.
     */
    constructor(texts, scores, perfMetrics, parsed, finishReasons = []) {
        this.texts = texts;
        this.scores = scores;
        this.perfMetrics = perfMetrics;
        this.parsed = parsed;
        this.finishReasons = finishReasons;
    }
    toString() {
        if (this.scores.length !== this.texts.length) {
            throw new Error("The number of scores and texts doesn't match in DecodedResults.");
        }
        if (this.texts.length === 0) {
            return "";
        }
        if (this.texts.length === 1) {
            return this.texts[0];
        }
        const lines = this.scores.map((score, i) => `${score.toFixed(6)}: ${this.texts[i]}`);
        return lines.join("\n");
    }
}
/**
 * Structure to store VLM resulting batched text outputs and scores for each batch.
 * @note The first num_return_sequences elements correspond to the first batch element.
 */
export class VLMDecodedResults extends DecodedResults {
    /**
     * @param {string[]} texts - Vector of resulting sequences.
     * @param {number[]} scores - Scores for each sequence.
     * @param {VLMPerfMetrics} perfMetrics - VLM-specific performance metrics.
     * @param {Record<string, unknown>[]} parsed - The results of parsers processing for each sequence.
     * @param {GenerationFinishReason[]} finishReasons - Finish reasons for each sequence.
     */
    constructor(texts, scores, perfMetrics, parsed, finishReasons = []) {
        super(texts, scores, perfMetrics, parsed, finishReasons);
        this.perfMetrics = perfMetrics;
    }
}
/**
 * Result of WhisperPipeline.generate() with texts, scores, perf metrics, and optional timestamps.
 */
export class WhisperDecodedResults extends DecodedResults {
    constructor(texts, scores, perfMetrics, chunks, words) {
        super(texts, scores, perfMetrics, []);
        this.chunks = chunks;
        this.words = words;
        this.perfMetrics = perfMetrics;
    }
}
/**
 * Result of Text2SpeechPipeline.generate() with audio tensors and perf metrics.
 * Each element in `speeches` is an audio waveform tensor sampled at 16 kHz.
 */
export class Text2SpeechDecodedResults {
    constructor(speeches, perfMetrics) {
        this.speeches = speeches;
        this.perfMetrics = perfMetrics;
    }
}
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