sparkast/lib/nlp/getEmbedding.ts
2024-09-22 20:14:09 +08:00

38 lines
1.0 KiB
TypeScript

type EmbeddingDict = { [key: number]: Float32Array };
function getEmbeddingLayer(buffer: Buffer): EmbeddingDict {
const dict: EmbeddingDict = {};
const entrySize = 514;
const numEntries = buffer.length / entrySize;
for (let i = 0; i < numEntries; i++) {
const offset = i * entrySize;
const key = buffer.readUInt16LE(offset);
const floatArray = new Float32Array(128);
for (let j = 0; j < 128; j++) {
floatArray[j] = buffer.readFloatLE(offset + 2 + j * 4);
}
dict[key] = floatArray;
}
return dict;
}
function getEmbedding(tokenIds: number[], embeddingDict: EmbeddingDict, contextSize: number) {
let result: number[] = [];
for (let i = 0; i < contextSize; i++) {
if (i < tokenIds.length) {
const tokenId = tokenIds[i];
result = result.concat(Array.from(embeddingDict[tokenId]))
}
else {
result = result.concat(new Array(128).fill(0))
}
}
return new Float32Array(result);
}
export {getEmbeddingLayer, getEmbedding};