add: energy score into inferencing
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@ -21,6 +21,8 @@ import tokenize from "lib/nlp/tokenize/tokenizer";
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import { getEmbedding, getEmbeddingLayer } from "lib/nlp/getEmbedding";
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import { loadVocab } from "lib/nlp/tokenize/loadVocab";
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import BPETokenizer from "lib/nlp/tokenize/BPEtokenizer";
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import energyScore from "lib/nlp/energyScore";
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import bytesToUnicode from "lib/nlp/tokenize/bytesToUnicode";
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interface EmbeddingLayer {
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[key: number]: Float32Array<ArrayBufferLike>;
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@ -130,16 +132,12 @@ export default function OneSearch() {
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}
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async function getNLUResult(query: string) {
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const start = new Date().getTime();
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if (embeddingLayer === null || NLUsession === null || tokenizer == null) return;
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const tokenIds = await tokenize(query, tokenizer);
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console.log(new Date().getTime() - start, "ms");
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const tokenIds = await tokenize(bytesToUnicode(query), tokenizer);
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const embeddings = getEmbedding(tokenIds, embeddingLayer, 64);
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const inputTensor = new ort.Tensor("float32", embeddings, [1, 64, 96]);
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const feeds = { input: inputTensor };
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console.log(new Date().getTime() - start, "ms");
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const results = await NLUsession.run(feeds);
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console.log(new Date().getTime() - start, "ms");
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return results;
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}
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@ -171,7 +169,13 @@ export default function OneSearch() {
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(async function () {
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const result = await getNLUResult(query);
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console.log(result);
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if (result === undefined) return;
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const rawData = result.output.data;
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const data: number[] = [];
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for (let i=0;i<rawData.length;i++){
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data.push(rawData[i] as number);
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}
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console.log(data, energyScore(data));
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})();
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}, [query, engineName]);
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13
lib/nlp/energyScore.ts
Normal file
13
lib/nlp/energyScore.ts
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@ -0,0 +1,13 @@
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function logsumexp(arr: number[]): number {
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const maxVal = Math.max(...arr);
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const sumExp = arr.reduce((sum, val) => sum + Math.exp(val - maxVal), 0);
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return Math.log(sumExp) + maxVal;
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}
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function minusEnergyScore(logits: number[]): number {
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return logsumexp(logits);
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}
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const energyScore = minusEnergyScore;
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export default energyScore;
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