116 lines
3.7 KiB
TypeScript
116 lines
3.7 KiB
TypeScript
import { spawnSync } from 'node:child_process';
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import * as fs from 'node:fs';
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import * as os from 'node:os';
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import * as path from 'node:path';
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import { fileURLToPath } from 'node:url';
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import type { SampledPoint } from './pointcloudSample.js';
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function scriptPath(): string {
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const here = path.dirname(fileURLToPath(import.meta.url));
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return path.join(here, '..', 'scripts', 'assembly_nearest_gpu.py');
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}
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function resolvePython3(): string {
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const fromEnv = process.env.PYTHON3_PATH?.trim();
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if (fromEnv) return fromEnv;
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if (process.platform === 'win32') return 'python3';
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for (const p of ['/usr/bin/python3', '/usr/local/bin/python3']) {
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try {
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if (fs.existsSync(p)) return p;
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} catch {
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/* ignore */
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}
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}
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return 'python3';
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}
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/** 环境变量 ASSEMBLY_USE_GPU=1 / true 时尝试 GPU（失败则由调用方回退 CPU） */
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export function assemblyGpuNearestEnabled(): boolean {
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const v = process.env.ASSEMBLY_USE_GPU?.trim().toLowerCase();
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return v === '1' || v === 'true' || v === 'yes';
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}
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export type GpuNearestNumbers = {
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assignments: number[];
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pointDistances: number[];
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};
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/**
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* 调用 scripts/assembly_nearest_gpu.py（PyTorch3D CUDA）。
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* 返回 null：未启用、脚本缺失、无 CUDA、导入失败（exit 2）或其它错误。
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*/
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export function tryRunAssemblyNearestGpu(manifestDir: string, sampled: SampledPoint[]): GpuNearestNumbers | null {
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if (!assemblyGpuNearestEnabled()) return null;
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const script = scriptPath();
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if (!fs.existsSync(script)) return null;
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if (sampled.length === 0) return null;
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const py = resolvePython3();
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const tmp = fs.mkdtempSync(path.join(os.tmpdir(), 'asm-gpu-'));
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const ptsFile = path.join(tmp, 'points.bin');
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const buf = Buffer.allocUnsafe(sampled.length * 12);
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for (let i = 0; i < sampled.length; i++) {
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const o = i * 12;
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buf.writeFloatLE(sampled[i]!.x, o);
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buf.writeFloatLE(sampled[i]!.y, o + 4);
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buf.writeFloatLE(sampled[i]!.z, o + 8);
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}
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fs.writeFileSync(ptsFile, buf);
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try {
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const r = spawnSync(
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py,
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[script, '--points', ptsFile, '--manifest-dir', manifestDir, '--out-dir', tmp],
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{
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encoding: 'utf-8',
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maxBuffer: 64 * 1024 * 1024,
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env: { ...process.env, PYTHONUNBUFFERED: '1' },
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},
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);
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if (r.error) {
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console.warn('[AssemblyGPU]', r.error.message);
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return null;
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}
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if (r.status === 2) {
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console.warn('[AssemblyGPU] 回退 CPU：', (r.stdout || '').trim().slice(-500) || 'exit 2');
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return null;
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}
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if (r.status !== 0) {
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console.warn('[AssemblyGPU] 失败 status=', r.status, (r.stderr || r.stdout || '').slice(0, 800));
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return null;
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}
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const resultJsonPath = path.join(tmp, 'result.json');
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if (!fs.existsSync(resultJsonPath)) return null;
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const meta = JSON.parse(fs.readFileSync(resultJsonPath, 'utf-8')) as {
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ok?: boolean;
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n?: number;
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assignmentsFile?: string;
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distancesFile?: string;
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};
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if (!meta.ok || !meta.assignmentsFile || !meta.distancesFile) return null;
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if (meta.n !== sampled.length) {
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console.warn('[AssemblyGPU] 点数不一致', meta.n, sampled.length);
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return null;
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}
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const aBuf = fs.readFileSync(meta.assignmentsFile);
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const dBuf = fs.readFileSync(meta.distancesFile);
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const n = sampled.length;
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if (aBuf.length !== n * 4 || dBuf.length !== n * 4) {
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console.warn('[AssemblyGPU] 二进制长度异常');
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return null;
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}
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const assignments = Array.from(new Int32Array(aBuf.buffer, aBuf.byteOffset, n));
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const pointDistances = Array.from(new Float32Array(dBuf.buffer, dBuf.byteOffset, n));
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return { assignments, pointDistances };
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} finally {
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try {
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fs.rmSync(tmp, { recursive: true, force: true });
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} catch {
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/* ignore */
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}
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}
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}
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