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human
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full rebuild

pull/405/head
Vladimir Mandic 2023-05-08 09:16:52 -04:00
parent d1a3b3944e
commit 9a19d051a3
28 changed files with 1772 additions and 63212 deletions
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CHANGELOG.md
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## Changelog
### **HEAD -> main** 2023/05/08 mandic00@live.com
### **origin/main** 2023/05/03 76097937+dalvine@users.noreply.github.com
- initial work on tracker
### **3.0.6** 2023/03/21 mandic00@live.com
### **origin/main** 2023/03/06 mandic00@live.com
- add optional crop to multiple models
- fix movenet-multipose
- add electron detection
- fix gender-ssrnet-imdb

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demo/faceid/index.js
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demo/faceid/index.js.map
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demo/tracker/index.js
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demo/tracker/index.js.map
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demo/typescript/index.js
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author: <https://github.com/vladmandic>'
*/
// demo/typescript/index.ts
import * as H from "../../dist/human.esm.js";
var width = 1920;
var humanConfig = {
// user configuration for human, used to fine-tune behavior
debug: true,
backend: "webgl",
// cacheSensitivity: 0,
// cacheModels: false,
// warmup: 'none',
modelBasePath: "../../models",
filter: { enabled: true, equalization: false, flip: false },
face: { enabled: true, detector: { rotation: false }, mesh: { enabled: true }, attention: { enabled: false }, iris: { enabled: true }, description: { enabled: true }, emotion: { enabled: true }, antispoof: { enabled: true }, liveness: { enabled: true } },
body: { enabled: false },
hand: { enabled: false },
object: { enabled: false },
segmentation: { enabled: false },
gesture: { enabled: true }
};
var human = new H.Human(humanConfig);
human.env.perfadd = false;
human.draw.options.font = 'small-caps 18px "Lato"';
human.draw.options.lineHeight = 20;
human.draw.options.drawPoints = true;
var dom = {
// grab instances of dom objects so we dont have to look them up later
video: document.getElementById("video"),
canvas: document.getElementById("canvas"),
log: document.getElementById("log"),
fps: document.getElementById("status"),
perf: document.getElementById("performance")
};
var timestamp = { detect: 0, draw: 0, tensors: 0, start: 0 };
var fps = { detectFPS: 0, drawFPS: 0, frames: 0, averageMs: 0 };
var log = (...msg) => {
dom.log.innerText += msg.join(" ") + "\n";
console.log(...msg);
};
var status = (msg) => dom.fps.innerText = msg;
var perf = (msg) => dom.perf.innerText = "tensors:" + human.tf.memory().numTensors.toString() + " | performance: " + JSON.stringify(msg).replace(/"|{|}/g, "").replace(/,/g, " | ");
async function detectionLoop() {
if (!dom.video.paused) {
if (timestamp.start === 0)
timestamp.start = human.now();
await human.detect(dom.video);
const tensors = human.tf.memory().numTensors;
if (tensors - timestamp.tensors !== 0)
log("allocated tensors:", tensors - timestamp.tensors);
timestamp.tensors = tensors;
fps.detectFPS = Math.round(1e3 * 1e3 / (human.now() - timestamp.detect)) / 1e3;
fps.frames++;
fps.averageMs = Math.round(1e3 * (human.now() - timestamp.start) / fps.frames) / 1e3;
if (fps.frames % 100 === 0 && !dom.video.paused)
log("performance", { ...fps, tensors: timestamp.tensors });
}
timestamp.detect = human.now();
requestAnimationFrame(detectionLoop);
}
async function drawLoop() {
var _a, _b, _c;
if (!dom.video.paused) {
const interpolated = human.next(human.result);
const processed = await human.image(dom.video);
human.draw.canvas(processed.canvas, dom.canvas);
const opt = { bodyLabels: `person confidence [score] and ${(_c = (_b = (_a = human.result) == null ? void 0 : _a.body) == null ? void 0 : _b[0]) == null ? void 0 : _c.keypoints.length} keypoints` };
await human.draw.all(dom.canvas, interpolated, opt);
perf(interpolated.performance);
}
const now = human.now();
fps.drawFPS = Math.round(1e3 * 1e3 / (now - timestamp.draw)) / 1e3;
timestamp.draw = now;
status(dom.video.paused ? "paused" : `fps: ${fps.detectFPS.toFixed(1).padStart(5, " ")} detect | ${fps.drawFPS.toFixed(1).padStart(5, " ")} draw`);
setTimeout(drawLoop, 30);
}
async function webCam() {
const devices = await human.webcam.enumerate();
const id = devices[0].deviceId;
await human.webcam.start({ element: dom.video, crop: false, width, id });
dom.canvas.width = human.webcam.width;
dom.canvas.height = human.webcam.height;
dom.canvas.onclick = async () => {
if (human.webcam.paused)
await human.webcam.play();
else
human.webcam.pause();
};
}
async function main() {
log("human version:", human.version, "| tfjs version:", human.tf.version["tfjs-core"]);
log("platform:", human.env.platform, "| agent:", human.env.agent);
status("loading...");
await human.load();
log("backend:", human.tf.getBackend(), "| available:", human.env.backends);
log("models stats:", human.models.stats());
log("models loaded:", human.models.loaded());
log("environment", human.env);
status("initializing...");
await human.warmup();
await webCam();
await detectionLoop();
await drawLoop();
}
window.onload = main;
import*as m from"../../dist/human.esm.js";var v=1920,b={debug:!0,backend:"webgl",modelBasePath:"../../models",filter:{enabled:!0,equalization:!1,flip:!1},face:{enabled:!0,detector:{rotation:!1},mesh:{enabled:!0},attention:{enabled:!1},iris:{enabled:!0},description:{enabled:!0},emotion:{enabled:!0},antispoof:{enabled:!0},liveness:{enabled:!0}},body:{enabled:!1},hand:{enabled:!1},object:{enabled:!1},segmentation:{enabled:!1},gesture:{enabled:!0}},e=new m.Human(b);e.env.perfadd=!1;e.draw.options.font='small-caps 18px "Lato"';e.draw.options.lineHeight=20;e.draw.options.drawPoints=!0;var a={video:document.getElementById("video"),canvas:document.getElementById("canvas"),log:document.getElementById("log"),fps:document.getElementById("status"),perf:document.getElementById("performance")},n={detect:0,draw:0,tensors:0,start:0},s={detectFPS:0,drawFPS:0,frames:0,averageMs:0},o=(...t)=>{a.log.innerText+=t.join(" ")+`
`,console.log(...t)},r=t=>a.fps.innerText=t,g=t=>a.perf.innerText="tensors:"+e.tf.memory().numTensors.toString()+" | performance: "+JSON.stringify(t).replace(/"|{|}/g,"").replace(/,/g," | ");async function f(){if(!a.video.paused){n.start===0&&(n.start=e.now()),await e.detect(a.video);let t=e.tf.memory().numTensors;t-n.tensors!==0&&o("allocated tensors:",t-n.tensors),n.tensors=t,s.detectFPS=Math.round(1e3*1e3/(e.now()-n.detect))/1e3,s.frames++,s.averageMs=Math.round(1e3*(e.now()-n.start)/s.frames)/1e3,s.frames%100===0&&!a.video.paused&&o("performance",{...s,tensors:n.tensors})}n.detect=e.now(),requestAnimationFrame(f)}async function w(){var d,i,c;if(!a.video.paused){let l=e.next(e.result),p=await e.image(a.video);e.draw.canvas(p.canvas,a.canvas);let u={bodyLabels:`person confidence [score] and ${(c=(i=(d=e.result)==null?void 0:d.body)==null?void 0:i[0])==null?void 0:c.keypoints.length} keypoints`};await e.draw.all(a.canvas,l,u),g(l.performance)}let t=e.now();s.drawFPS=Math.round(1e3*1e3/(t-n.draw))/1e3,n.draw=t,r(a.video.paused?"paused":`fps: ${s.detectFPS.toFixed(1).padStart(5," ")} detect | ${s.drawFPS.toFixed(1).padStart(5," ")} draw`),setTimeout(w,30)}async function y(){let d=(await e.webcam.enumerate())[0].deviceId;await e.webcam.start({element:a.video,crop:!1,width:v,id:d}),a.canvas.width=e.webcam.width,a.canvas.height=e.webcam.height,a.canvas.onclick=async()=>{e.webcam.paused?await e.webcam.play():e.webcam.pause()}}async function h(){o("human version:",e.version,"| tfjs version:",e.tf.version["tfjs-core"]),o("platform:",e.env.platform,"| agent:",e.env.agent),r("loading..."),await e.load(),o("backend:",e.tf.getBackend(),"| available:",e.env.backends),o("models stats:",e.models.stats()),o("models loaded:",e.models.loaded()),o("environment",e.env),r("initializing..."),await e.warmup(),await y(),await f(),await w()}window.onload=h;
//# sourceMappingURL=index.js.map

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dist/tfjs.version.js vendored
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author: <https://github.com/vladmandic>'
*/
// node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/package.json
var version = "4.5.0";
// node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/package.json
var version2 = "4.5.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json
var version3 = "4.5.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json
var version4 = "4.5.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json
var version5 = "4.5.0";
// node_modules/.pnpm/@tensorflow+tfjs-backend-webgpu@0.0.1-alpha.20_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-backend-webgpu/package.json
var version6 = "0.0.1-alpha.20";
// tfjs/tf-version.ts
var version7 = {
tfjs: version,
"tfjs-core": version,
// 'tfjs-data': tfjsDataVersion,
// 'tfjs-layers': tfjsLayersVersion,
"tfjs-converter": version2,
"tfjs-backend-cpu": version3,
"tfjs-backend-webgl": version4,
"tfjs-backend-wasm": version5,
"tfjs-backend-webgpu": version6
};
export {
version7 as version
};
var e="4.5.0";var s="4.5.0";var t="4.5.0";var n="4.5.0";var r="4.5.0";var i="0.0.1-alpha.20";var h={tfjs:e,"tfjs-core":e,"tfjs-converter":s,"tfjs-backend-cpu":t,"tfjs-backend-webgl":n,"tfjs-backend-wasm":r,"tfjs-backend-webgpu":i};export{h as version};

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2023-04-03 10:24:26 DATA:  Build {"name":"@vladmandic/human","version":"3.0.6"}
2023-04-03 10:24:26 INFO:  Application: {"name":"@vladmandic/human","version":"3.0.6"}
2023-04-03 10:24:26 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
2023-04-03 10:24:26 INFO:  Toolchain: {"build":"0.9.2","esbuild":"0.17.15","typescript":"5.0.3","typedoc":"0.23.28","eslint":"8.37.0"}
2023-04-03 10:24:26 INFO:  Build: {"profile":"production","steps":["clean","compile","typings","typedoc","lint","changelog"]}
2023-04-03 10:24:26 STATE: Clean: {"locations":["dist/*","types/*","typedoc/*"]}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":361}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":569,"outputBytes":960}
2023-04-03 10:24:26 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":675229,"outputBytes":320461}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":577,"outputBytes":968}
2023-04-03 10:24:26 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":675237,"outputBytes":320465}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":665,"outputBytes":2006}
2023-04-03 10:24:26 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":676275,"outputBytes":320576}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1375,"outputBytes":670}
2023-04-03 10:24:26 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":674939,"outputBytes":319025}
2023-04-03 10:24:26 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":1375,"outputBytes":1151285}
2023-04-03 10:24:26 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1825554,"outputBytes":1466225}
2023-04-03 10:24:27 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1825554,"outputBytes":1934178}
2023-04-03 10:24:30 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":15}
2023-04-03 10:24:32 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true}
2023-04-03 10:24:32 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6203,"outputBytes":2926}
2023-04-03 10:24:32 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17503,"outputBytes":9403}
2023-04-03 10:24:32 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":22791}
2023-04-03 10:24:40 STATE: Lint: {"locations":["**/*.json","src/**/*.ts","test/**/*.js","demo/**/*.js","**/*.md"],"files":171,"errors":0,"warnings":0}
2023-04-03 10:24:40 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
2023-04-03 10:24:40 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs-core.d.ts","output":"types/tfjs-core.d.ts"}
2023-04-03 10:24:40 INFO:  Done...
2023-04-03 10:24:40 STATE: Copy: {"input":"node_modules/@vladmandic/tfjs/types/tfjs.d.ts","output":"types/tfjs.esm.d.ts"}
2023-04-03 10:24:40 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"}
2023-04-03 10:24:40 STATE: Copy: {"input":"src/types/eslint.json","output":"types/.eslintrc.json"}
2023-04-03 10:24:40 STATE: Copy: {"input":"src/types/tfjs.esm.d.ts","output":"dist/tfjs.esm.d.ts"}
2023-04-03 10:24:40 STATE: Filter: {"input":"types/tfjs-core.d.ts"}
2023-04-03 10:24:41 STATE: API-Extractor: {"succeeeded":true,"errors":0,"warnings":210}
2023-04-03 10:24:41 STATE: Filter: {"input":"types/human.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.esm-nobundle.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.esm.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.node-gpu.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.node.d.ts"}
2023-04-03 10:24:41 STATE: Write: {"output":"dist/human.node-wasm.d.ts"}
2023-04-03 10:24:41 INFO:  Analyze models: {"folders":8,"result":"models/models.json"}
2023-04-03 10:24:41 STATE: Models {"folder":"./models","models":12}
2023-04-03 10:24:41 STATE: Models {"folder":"../human-models/models","models":44}
2023-04-03 10:24:41 STATE: Models {"folder":"../blazepose/model/","models":4}
2023-04-03 10:24:41 STATE: Models {"folder":"../anti-spoofing/model","models":1}
2023-04-03 10:24:41 STATE: Models {"folder":"../efficientpose/models","models":3}
2023-04-03 10:24:41 STATE: Models {"folder":"../insightface/models","models":5}
2023-04-03 10:24:41 STATE: Models {"folder":"../movenet/models","models":3}
2023-04-03 10:24:41 STATE: Models {"folder":"../nanodet/models","models":4}
2023-04-03 10:24:42 STATE: Models: {"count":58,"totalSize":380063249}
2023-04-03 10:24:42 INFO:  Human Build complete... {"logFile":"test/build.log"}
2023-04-06 09:58:27 INFO:  @vladmandic/human version 3.0.6
2023-04-06 09:58:27 INFO:  User: vlado Platform: linux Arch: x64 Node: v19.1.0
2023-04-06 09:58:27 INFO:  Application: {"name":"@vladmandic/human","version":"3.0.6"}
2023-04-06 09:58:27 INFO:  Environment: {"profile":"development","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
2023-04-06 09:58:27 INFO:  Toolchain: {"build":"0.9.2","esbuild":"0.17.15","typescript":"5.0.3","typedoc":"0.23.28","eslint":"8.37.0"}
2023-04-06 09:58:27 INFO:  Build: {"profile":"development","steps":["serve","watch","compile"]}
2023-04-06 09:58:27 STATE: WebServer: {"ssl":false,"port":8000,"root":"."}
2023-04-06 09:58:27 STATE: WebServer: {"ssl":true,"port":8001,"root":".","sslKey":"node_modules/@vladmandic/build/cert/https.key","sslCrt":"node_modules/@vladmandic/build/cert/https.crt"}
2023-04-06 09:58:27 STATE: Watch: {"locations":["src/**/*","tfjs/**/*","demo/**/*.ts"]}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":1436}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1644,"outputBytes":1899}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":676168,"outputBytes":524033}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1652,"outputBytes":1927}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":80,"inputBytes":676196,"outputBytes":524053}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/nodejs/wasm","format":"cjs","platform":"node","input":"tfjs/tf-node-wasm.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":1740,"outputBytes":2196}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":676465,"outputBytes":524244}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2450,"outputBytes":997}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/browser/esm/nobundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm-nobundle.js","files":80,"inputBytes":675266,"outputBytes":526563}
2023-04-06 09:58:27 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":2450,"outputBytes":1151285}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1825554,"outputBytes":1466225}
2023-04-06 09:58:27 STATE: Compile: {"name":"human/browser/esm/bundle","format":"esm","platform":"browser","input":"src/human.ts","output":"dist/human.esm.js","files":80,"inputBytes":1825554,"outputBytes":1934178}
2023-04-06 09:58:27 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6203,"outputBytes":4436}
2023-04-06 09:58:27 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17503,"outputBytes":15182}
2023-04-06 09:58:27 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":51106}
2023-04-06 09:58:27 INFO:  Listening... ["http://localhost:8000","https://localhost:8001"]
2023-04-06 09:58:29 DATA:  HTTPS: {"method":"GET","ver":"2.0","status":200,"mime":"text/html","size":7551,"url":"/","remote":"::1"}
2023-04-06 09:58:29 DATA:  HTTPS: {"method":"GET","ver":"2.0","status":200,"mime":"text/css","size":107884,"url":"/icons.css","remote":"::1"}
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2023-04-06 10:02:43 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6203,"outputBytes":4436}
2023-04-06 10:02:43 STATE: Compile: {"name":"demo/faceid","format":"esm","platform":"browser","input":"demo/faceid/index.ts","output":"demo/faceid/index.js","files":2,"inputBytes":17503,"outputBytes":15182}
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2023-04-06 10:19:37 STATE: Compile: {"name":"tfjs/browser/version","format":"esm","platform":"browser","input":"tfjs/tf-version.ts","output":"dist/tfjs.version.js","files":1,"inputBytes":1289,"outputBytes":1436}
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2023-04-06 10:19:37 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6203,"outputBytes":4436}
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2023-04-06 10:20:03 STATE: Compile: {"name":"tfjs/browser/esm/bundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":10,"inputBytes":2450,"outputBytes":1151285}
2023-04-06 10:20:03 STATE: Compile: {"name":"human/browser/iife/bundle","format":"iife","platform":"browser","input":"src/human.ts","output":"dist/human.js","files":80,"inputBytes":1825554,"outputBytes":1466225}
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2023-04-06 10:20:03 STATE: Compile: {"name":"demo/typescript","format":"esm","platform":"browser","input":"demo/typescript/index.ts","output":"demo/typescript/index.js","files":1,"inputBytes":6203,"outputBytes":4436}
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2023-05-08 09:11:50 INFO:  @vladmandic/human version 3.0.6
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2023-05-08 09:11:50 STATE: Compile: {"name":"tfjs/browser/esm/nobundle","format":"esm","platform":"browser","input":"tfjs/tf-browser.ts","output":"dist/tfjs.esm.js","files":2,"inputBytes":2450,"outputBytes":997}
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2023-05-08 09:11:50 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":51106}
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2023-05-08 09:13:55 DATA:  Build {"name":"@vladmandic/human","version":"3.0.6"}
2023-05-08 09:13:55 INFO:  Application: {"name":"@vladmandic/human","version":"3.0.6"}
2023-05-08 09:13:55 INFO:  Environment: {"profile":"production","config":".build.json","package":"package.json","tsconfig":true,"eslintrc":true,"git":true}
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2023-05-08 09:13:55 STATE: Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":80,"inputBytes":675233,"outputBytes":320463}
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2023-05-08 09:13:55 STATE: Compile: {"name":"human/nodejs/wasm","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-wasm.js","files":80,"inputBytes":676279,"outputBytes":320578}
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2023-05-08 09:13:59 STATE: Typings: {"input":"src/human.ts","output":"types/lib","files":15}
2023-05-08 09:14:01 STATE: TypeDoc: {"input":"src/human.ts","output":"typedoc","objects":81,"generated":true}
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2023-05-08 09:14:01 STATE: Compile: {"name":"demo/tracker","format":"esm","platform":"browser","input":"demo/tracker/index.ts","output":"demo/tracker/index.js","files":2,"inputBytes":54375,"outputBytes":22791}
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2023-05-08 09:14:09 STATE: ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"}
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2023-05-08 09:14:09 INFO:  Done...
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2023-05-08 09:14:09 STATE: Copy: {"input":"src/types/tsconfig.json","output":"types/tsconfig.json"}
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2023-05-08 09:14:09 STATE: Filter: {"input":"types/tfjs-core.d.ts"}
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2023-05-08 09:14:10 STATE: Write: {"output":"dist/human.esm.d.ts"}
2023-05-08 09:14:10 STATE: Write: {"output":"dist/human.d.ts"}
2023-05-08 09:14:10 STATE: Write: {"output":"dist/human.node-gpu.d.ts"}
2023-05-08 09:14:10 STATE: Write: {"output":"dist/human.node.d.ts"}
2023-05-08 09:14:10 STATE: Write: {"output":"dist/human.node-wasm.d.ts"}
2023-05-08 09:14:10 INFO:  Analyze models: {"folders":8,"result":"models/models.json"}
2023-05-08 09:14:10 STATE: Models {"folder":"./models","models":12}
2023-05-08 09:14:10 STATE: Models {"folder":"../human-models/models","models":44}
2023-05-08 09:14:10 STATE: Models {"folder":"../blazepose/model/","models":4}
2023-05-08 09:14:10 STATE: Models {"folder":"../anti-spoofing/model","models":1}
2023-05-08 09:14:10 STATE: Models {"folder":"../efficientpose/models","models":3}
2023-05-08 09:14:10 STATE: Models {"folder":"../insightface/models","models":5}
2023-05-08 09:14:10 STATE: Models {"folder":"../movenet/models","models":3}
2023-05-08 09:14:10 STATE: Models {"folder":"../nanodet/models","models":4}
2023-05-08 09:14:11 STATE: Models: {"count":58,"totalSize":380063249}
2023-05-08 09:14:11 INFO:  Human Build complete... {"logFile":"test/build.log"}

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@ -37,7 +37,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
<ul class="tsd-hierarchy">
<li><span class="tsd-signature-type">InferenceModel</span></li></ul></section><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:34</li></ul></aside>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:34</li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
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@ -97,7 +97,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:66</li></ul></aside></li></ul></section></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:66</li></ul></aside></li></ul></section></section>
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@ -107,7 +107,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:49</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:49</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="inputs" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>inputs</span><a href="#inputs" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -116,7 +116,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<p>Implementation of InferenceModel.inputs</p>
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:51</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:51</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="metadata" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>metadata</span><a href="#metadata" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-accessor tsd-parent-kind-class">
@ -125,7 +125,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul class="tsd-parameters"></ul><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:54</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:54</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="modelSignature" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>model<wbr/>Signature</span><a href="#modelSignature" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-accessor tsd-parent-kind-class">
@ -134,7 +134,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul class="tsd-parameters"></ul><aside class="tsd-sources">
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:55</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:55</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="modelStructuredOutputKeys" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>model<wbr/>Structured<wbr/>Output<wbr/>Keys</span><a href="#modelStructuredOutputKeys" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -143,7 +143,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul class="tsd-parameters"></ul><aside class="tsd-sources">
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:56</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:56</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="modelVersion" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>model<wbr/>Version</span><a href="#modelVersion" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -151,7 +151,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:48</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:48</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="outputNodes" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>output<wbr/>Nodes</span><a href="#outputNodes" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -159,7 +159,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:50</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:50</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="outputs" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>outputs</span><a href="#outputs" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -168,7 +168,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<p>Implementation of InferenceModel.outputs</p>
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:52</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:52</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-accessor tsd-parent-kind-class"><a id="weights" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>weights</span><a href="#weights" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
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@ -176,7 +176,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
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<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">NamedTensorsMap</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:53</li></ul></aside></li></ul></section></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:53</li></ul></aside></li></ul></section></section>
<section class="tsd-panel-group tsd-member-group">
<h2>Methods</h2>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="dispose" class="tsd-anchor"></a>
@ -189,7 +189,7 @@ the command line converter tool and loaded via <code>tf.loadGraphModel</code>.</
<h3>Doc</h3></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:266</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:266</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="disposeIntermediateTensors" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>dispose<wbr/>Intermediate<wbr/>Tensors</span><a href="#disposeIntermediateTensors" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -201,7 +201,7 @@ KEEP_INTERMEDIATE_TENSORS is true).</p>
<h3>Doc</h3></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">void</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:259</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:259</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="execute" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>execute</span><a href="#execute" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -233,7 +233,7 @@ outputs array.</p>
<h4 class="tsd-returns-title">Returns <a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> | </span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">[]</span></h4><aside class="tsd-sources">
<p>Implementation of InferenceModel.execute</p>
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:228</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:228</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="executeAsync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>execute<wbr/>Async</span><a href="#executeAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -264,7 +264,7 @@ array.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> | </span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:245</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:245</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="getIntermediateTensors" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>get<wbr/>Intermediate<wbr/>Tensors</span><a href="#getIntermediateTensors" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -276,7 +276,7 @@ KEEP_INTERMEDIATE_TENSORS is true).</p>
<h3>Doc</h3></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">NamedTensorsMap</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:252</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:252</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="load" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load</span><a href="#load" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -287,7 +287,7 @@ compile the inference graph.</p>
</div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">UrlIOHandler</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type" data-tsd-kind="Type parameter">ModelURL</span><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> extends </span><span class="tsd-signature-type">IOHandlerSync</span><span class="tsd-signature-symbol"> ? </span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol"> : </span><span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">boolean</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:72</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:72</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="loadSync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>load<wbr/>Sync</span><a href="#loadSync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -304,7 +304,7 @@ compile the inference graph.</p>
<h5>artifacts: <span class="tsd-signature-type">ModelArtifacts</span></h5></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">boolean</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:79</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:79</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="predict" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>predict</span><a href="#predict" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -346,7 +346,7 @@ Currently the batch size option is ignored for graph model.</p>
<h4 class="tsd-returns-title">Returns <a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> | </span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">NamedTensorMap</span></h4><aside class="tsd-sources">
<p>Implementation of InferenceModel.predict</p>
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:165</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:165</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="predictAsync" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>predict<wbr/>Async</span><a href="#predictAsync" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -388,7 +388,7 @@ Currently the batch size option is ignored for graph model.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol"> | </span><a href="Tensor-1.html" class="tsd-signature-type" data-tsd-kind="Class">Tensor</a><span class="tsd-signature-symbol">&lt;</span><a href="../enums/Rank.html" class="tsd-signature-type" data-tsd-kind="Enumeration">Rank</a><span class="tsd-signature-symbol">&gt;</span><span class="tsd-signature-symbol">[]</span><span class="tsd-signature-symbol"> | </span><span class="tsd-signature-type">NamedTensorMap</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:206</li></ul></aside></li></ul></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:206</li></ul></aside></li></ul></section>
<section class="tsd-panel tsd-member tsd-kind-method tsd-parent-kind-class"><a id="save" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>save</span><a href="#save" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<ul class="tsd-signatures tsd-kind-method tsd-parent-kind-class">
@ -432,7 +432,7 @@ scheme-based string shortcut for <code>IOHandler</code>.</p>
</div></li></ul></div>
<h4 class="tsd-returns-title">Returns <span class="tsd-signature-type">Promise</span><span class="tsd-signature-symbol">&lt;</span><span class="tsd-signature-type">SaveResult</span><span class="tsd-signature-symbol">&gt;</span></h4><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.2.0_@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:124</li></ul></aside></li></ul></section></section></div>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-converter@4.5.0_@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-converter/dist/executor/graph_model.d.ts:124</li></ul></aside></li></ul></section></section></div>
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@ -16,7 +16,7 @@
<li><a href="Rank.html">Rank</a></li></ul>
<h1>Enumeration Rank</h1></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:61</li></ul></aside>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:62</li></ul></aside>
<section class="tsd-panel-group tsd-index-group">
<section class="tsd-panel tsd-index-panel">
<details class="tsd-index-content tsd-index-accordion" open><summary class="tsd-accordion-summary tsd-index-summary">
@ -38,37 +38,37 @@
<h3 class="tsd-anchor-link"><span>R0</span><a href="#R0" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none" id="icon-anchor-a"></path><path d="M10 14a3.5 3.5 0 0 0 5 0l4 -4a3.5 3.5 0 0 0 -5 -5l-.5 .5" id="icon-anchor-b"></path><path d="M14 10a3.5 3.5 0 0 0 -5 0l-4 4a3.5 3.5 0 0 0 5 5l.5 -.5" id="icon-anchor-c"></path></svg></a></h3>
<div class="tsd-signature">R0<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R0&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:62</li></ul></aside></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:63</li></ul></aside></section>
<section class="tsd-panel tsd-member tsd-kind-enum-member tsd-parent-kind-enum"><a id="R1" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>R1</span><a href="#R1" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature">R1<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R1&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:63</li></ul></aside></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:64</li></ul></aside></section>
<section class="tsd-panel tsd-member tsd-kind-enum-member tsd-parent-kind-enum"><a id="R2" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>R2</span><a href="#R2" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature">R2<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R2&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:64</li></ul></aside></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:65</li></ul></aside></section>
<section class="tsd-panel tsd-member tsd-kind-enum-member tsd-parent-kind-enum"><a id="R3" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>R3</span><a href="#R3" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature">R3<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R3&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:65</li></ul></aside></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:66</li></ul></aside></section>
<section class="tsd-panel tsd-member tsd-kind-enum-member tsd-parent-kind-enum"><a id="R4" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>R4</span><a href="#R4" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature">R4<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R4&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:66</li></ul></aside></section>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:67</li></ul></aside></section>
<section class="tsd-panel tsd-member tsd-kind-enum-member tsd-parent-kind-enum"><a id="R5" class="tsd-anchor"></a>
<h3 class="tsd-anchor-link"><span>R5</span><a href="#R5" aria-label="Permalink" class="tsd-anchor-icon"><svg class="icon icon-tabler icon-tabler-link" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><use href="#icon-anchor-a"></use><use href="#icon-anchor-b"></use><use href="#icon-anchor-c"></use></svg></a></h3>
<div class="tsd-signature">R5<span class="tsd-signature-symbol">:</span> <span class="tsd-signature-type">&quot;R5&quot;</span></div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:67</li></ul></aside></section>
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:68</li></ul></aside></section></section></div>
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<div class="tsd-comment tsd-typography"><p>Explict reexport of main @tensorflow/tfjs types</p>
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/unstack.d.ts:4</li>
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<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/slice.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/softmax.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/softplus.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/space_to_batch_nd.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/split.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/sqrt.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/square.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/squared_difference.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/squeeze.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/stack.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/step.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/strided_slice.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/sub.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/sum.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/tan.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/tanh.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/tile.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/to_bool.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/to_float.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/to_int.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/topk.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/transpose.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/unique.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/unsorted_segment_sum.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/unstack.d.ts:4</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/where.d.ts:20</li>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/public/chained_ops/zeros_like.d.ts:20</li></ul></aside></div>
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typedoc/types/Tensor1D.html
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@ -20,7 +20,7 @@
<h3>Doclink</h3><p>Tensor</p>
</div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:283</li></ul></aside></div>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:280</li></ul></aside></div>
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typedoc/types/Tensor2D.html
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@ -20,7 +20,7 @@
<h3>Doclink</h3><p>Tensor</p>
</div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:285</li></ul></aside></div>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:282</li></ul></aside></div>
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typedoc/types/Tensor3D.html
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@ -20,7 +20,7 @@
<h3>Doclink</h3><p>Tensor</p>
</div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:287</li></ul></aside></div>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.5.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:284</li></ul></aside></div>
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typedoc/types/Tensor4D.html
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@ -20,7 +20,7 @@
<h3>Doclink</h3><p>Tensor</p>
</div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/tensor.d.ts:289</li></ul></aside></div>
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typedoc/types/TensorLike.html
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@ -20,7 +20,7 @@
<h3>Docalias</h3><p>TypedArray|Array</p>
</div><aside class="tsd-sources">
<ul>
<li>Defined in node_modules/.pnpm/@tensorflow+tfjs-core@4.2.0/node_modules/@tensorflow/tfjs-core/dist/types.d.ts:79</li></ul></aside></div>
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types/human.d.ts vendored
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@ -905,7 +905,6 @@ declare interface GPUData {
texture?: WebGLTexture;
buffer?: GPUBuffer;
texShape?: [number, number];
bufSize?: number;
}
/**
@ -2486,12 +2485,10 @@ export declare class Tensor<R extends Rank = Rank> implements TensorInfo {
* texShape: [number, number] // [height, width]
* }
*
* For WebGPU backend, a GPUData contains the new buffer and
* its information.
* For WebGPU backend, a GPUData contains the new buffer.
* {
* tensorRef: The tensor that is associated with this buffer,
* buffer: GPUBuffer,
* bufSize: number
* }
*
* Remember to dispose the GPUData after it is used by

233
types/tfjs-core.d.ts vendored
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@ -364,6 +364,8 @@ declare interface ArrayMap {
declare function arraysEqual(n1: FlatVector, n2: FlatVector): boolean;
declare function arraysEqualWithNull(n1: number[], n2: number[]): boolean;
export declare const Asin = "Asin";
export declare const asin: typeof asin_;
@ -994,6 +996,34 @@ export declare interface BincountAttrs {
export declare type BincountInputs = Pick<NamedTensorInfoMap, 'x' | 'weights'>;
export declare const BitwiseAnd = "BitwiseAnd";
export declare const bitwiseAnd: typeof bitwiseAnd_;
/**
* Bitwise `AND` operation for input tensors.
*
* Given two input tensors, returns a new tensor
* with the `AND` calculated values.
*
* The method supports int32 values
*
*
* ```js
* const x = tf.tensor1d([0, 5, 3, 14], 'int32');
* const y = tf.tensor1d([5, 0, 7, 11], 'int32');
* tf.bitwiseAnd(x, y).print();
* ```
*
* @param x The input tensor to be calculated.
* @param y The input tensor to be calculated.
*
* @doc {heading: 'Operations', subheading: 'Logical'}
*/
declare function bitwiseAnd_<R extends Rank>(x: Tensor, y: Tensor): Tensor<R>;
export declare type BitwiseAndInputs = BinaryInputs;
export declare const booleanMaskAsync: typeof booleanMaskAsync_;
/**
@ -1078,6 +1108,7 @@ declare namespace browser {
export {
fromPixelsAsync,
toPixels,
draw,
fromPixels
}
}
@ -1354,6 +1385,37 @@ declare function complexWithOddIndex(complex: Float32Array): {
imag: Float32Array;
};
/**
* Wraps a list of ArrayBuffers into a `slice()`-able object without allocating
* a large ArrayBuffer.
*
* Allocating large ArrayBuffers (~2GB) can be unstable on Chrome. TFJS loads
* its weights as a list of (usually) 4MB ArrayBuffers and then slices the
* weight tensors out of them. For small models, it's safe to concatenate all
* the weight buffers into a single ArrayBuffer and then slice the weight
* tensors out of it, but for large models, a different approach is needed.
*/
declare class CompositeArrayBuffer {
private shards;
private previousShardIndex;
private bufferUniformSize?;
readonly byteLength: number;
/**
* Concatenate a number of ArrayBuffers into one.
*
* @param buffers An array of ArrayBuffers to concatenate, or a single
* ArrayBuffer.
* @returns Result of concatenating `buffers` in order.
*/
static join(buffers?: ArrayBuffer[] | ArrayBuffer): ArrayBuffer;
constructor(buffers?: ArrayBuffer | ArrayBuffer[] | TypedArray | TypedArray[]);
slice(start?: number, end?: number): ArrayBuffer;
/**
* Get the index of the shard that contains the byte at `byteIndex`.
*/
private findShardForByte;
}
/**
* Computes the information for a forward pass of a convolution/pooling
* operation.
@ -1562,10 +1624,13 @@ export declare interface ConcatAttrs {
/**
* Concatenate a number of ArrayBuffers into one.
*
* @param buffers A number of array buffers to concatenate.
* @param buffers An array of ArrayBuffers to concatenate, or a single
* ArrayBuffer.
* @returns Result of concatenating `buffers` in order.
*
* @deprecated Use tf.io.CompositeArrayBuffer.join() instead.
*/
declare function concatenateArrayBuffers(buffers: ArrayBuffer[]): ArrayBuffer;
declare function concatenateArrayBuffers(buffers: ArrayBuffer[] | ArrayBuffer): ArrayBuffer;
export declare type ConcatInputs = TensorInfo[];
@ -1642,6 +1707,19 @@ declare const confusionMatrix: typeof confusionMatrix_;
*/
declare function confusionMatrix_(labels: Tensor1D | TensorLike, predictions: Tensor1D | TensorLike, numClasses: number): Tensor2D;
declare interface ContextOptions {
/**
* Optional. If the canvas has created a context, it would not make effects.
* If it is not set, it would be variable based on the current backend.
*/
contextType?: string;
/**
* Optional. A WebGLContextAttributes configuration. If the canvas has created
* a context, it would not make effects.
*/
contextAttributes?: WebGLContextAttributes;
}
export declare const conv1d: typeof conv1d_;
/**
@ -2311,15 +2389,16 @@ declare function decodeString(bytes: Uint8Array, encoding?: string): string;
*
* This function is the reverse of `encodeWeights`.
*
* @param buffer A flat ArrayBuffer carrying the binary values of the tensors
* concatenated in the order specified in `specs`.
* @param weightData A flat ArrayBuffer or an array of ArrayBuffers carrying the
* binary values of the tensors concatenated in the order specified in
* `specs`.
* @param specs Specifications of the names, dtypes and shapes of the tensors
* whose value are encoded by `buffer`.
* @return A map from tensor name to tensor value, with the names corresponding
* to names in `specs`.
* @throws Error, if any of the tensors has unsupported dtype.
*/
declare function decodeWeights(buffer: ArrayBuffer, specs: WeightsManifestEntry[]): NamedTensorMap;
declare function decodeWeights(weightData: WeightData, specs: WeightsManifestEntry[]): NamedTensorMap;
export declare const DenseBincount = "DenseBincount";
@ -2700,6 +2779,48 @@ export declare const dot: typeof dot_;
*/
declare function dot_(t1: Tensor | TensorLike, t2: Tensor | TensorLike): Tensor;
export declare const Draw = "Draw";
/**
* Draws a `tf.Tensor` to a canvas.
*
* When the dtype of the input is 'float32', we assume values in the range
* [0-1]. Otherwise, when input is 'int32', we assume values in the range
* [0-255].
*
* @param image The tensor to draw on the canvas. Must match one of
* these shapes:
* - Rank-2 with shape `[height, width`]: Drawn as grayscale.
* - Rank-3 with shape `[height, width, 1]`: Drawn as grayscale.
* - Rank-3 with shape `[height, width, 3]`: Drawn as RGB with alpha set in
* `imageOptions` (defaults to 1, which is opaque).
* - Rank-3 with shape `[height, width, 4]`: Drawn as RGBA.
* @param canvas The canvas to draw to.
* @param options The configuration arguments for image to be drawn and the
* canvas to draw to.
*
* @doc {heading: 'Browser', namespace: 'browser'}
*/
declare function draw(image: Tensor2D | Tensor3D | TensorLike, canvas: HTMLCanvasElement, options?: DrawOptions): void;
export declare interface DrawAttrs {
canvas: HTMLCanvasElement;
options?: DrawOptions;
}
export declare type DrawInputs = Pick<NamedTensorInfoMap, 'image'>;
declare interface DrawOptions {
/**
* Optional. An object of options to customize the values of image tensor.
*/
imageOptions?: ImageOptions;
/**
* Optional. An object to configure the context of the canvas to draw to.
*/
contextOptions?: ContextOptions;
}
export declare const dropout: typeof dropout_;
/**
@ -3097,6 +3218,35 @@ declare class EngineState {
dispose(): void;
}
export declare const ensureShape: typeof ensureShape_;
/**
* Checks the input tensor mathes the given shape.
*
* Given an input tensor, returns a new tensor with the same values as the
* input tensor with shape `shape`.
*
* The method supports the null value in tensor. It will still check the shapes,
* and null is a placeholder.
*
*
* ```js
* const x = tf.tensor1d([1, 2, 3, 4]);
* const y = tf.tensor1d([1, null, 3, 4]);
* const z = tf.tensor2d([1, 2, 3, 4], [2,2]);
* tf.ensureShape(x, [4]).print();
* tf.ensureShape(y, [4]).print();
* tf.ensureShape(z, [null, 2]).print();
* ```
*
* @param x The input tensor to be ensured.
* @param shape A TensorShape representing the shape of this tensor, an array
* or null.
*
* @doc {heading: 'Tensors', subheading: 'Transformations'}
*/
declare function ensureShape_<R extends Rank>(x: Tensor, shape: ShapeMap[R]): Tensor;
export declare let ENV: Environment;
/**
@ -3131,6 +3281,7 @@ export declare class Environment {
get(flagName: string): FlagValue;
getNumber(flagName: string): number;
getBool(flagName: string): boolean;
getString(flagName: string): string;
getFlags(): Flags;
get features(): Flags;
set(flagName: string, value: FlagValue): void;
@ -3378,7 +3529,7 @@ number
* If not, `tf.util.fetch` returns a platform-specific solution.
*
* ```js
* const resource = await tf.util.fetch('https://unpkg.com/@tensorflow/tfjs');
* const resource = await tf.util.fetch('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs');
* // handle response
* ```
*
@ -3456,7 +3607,7 @@ declare type Flags = {
[featureName: string]: FlagValue;
};
declare type FlagValue = number | boolean;
declare type FlagValue = number | boolean | string;
/**
* Flattens an arbitrarily nested array.
@ -3565,7 +3716,7 @@ declare type FromConfigMethod<T extends Serializable> = (cls: SerializableConstr
*
* @returns A passthrough `IOHandler` that simply loads the provided data.
*/
declare function fromMemory(modelArtifacts: {} | ModelArtifacts, weightSpecs?: WeightsManifestEntry[], weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandler;
declare function fromMemory(modelArtifacts: {} | ModelArtifacts, weightSpecs?: WeightsManifestEntry[], weightData?: WeightData, trainingConfig?: TrainingConfig): IOHandler;
/**
* Creates an IOHandler that loads model artifacts from memory.
@ -3588,7 +3739,7 @@ declare function fromMemory(modelArtifacts: {} | ModelArtifacts, weightSpecs?: W
*
* @returns A passthrough `IOHandlerSync` that simply loads the provided data.
*/
declare function fromMemorySync(modelArtifacts: {} | ModelArtifacts, weightSpecs?: WeightsManifestEntry[], weightData?: ArrayBuffer, trainingConfig?: TrainingConfig): IOHandlerSync;
declare function fromMemorySync(modelArtifacts: {} | ModelArtifacts, weightSpecs?: WeightsManifestEntry[], weightData?: WeightData, trainingConfig?: TrainingConfig): IOHandlerSync;
export declare const FromPixels = "FromPixels";
@ -4172,7 +4323,7 @@ declare const getLoadHandlers: (url: string | string[], loadOptions?: LoadOption
*/
declare function getModelArtifactsForJSON(modelJSON: ModelJSON, loadWeights: (weightsManifest: WeightsManifestConfig) => Promise<[
WeightsManifestEntry[],
ArrayBuffer
WeightData
]>): Promise<ModelArtifacts>;
/**
@ -4181,12 +4332,12 @@ ArrayBuffer
* @param modelJSON Object containing the parsed JSON of `model.json`
* @param weightSpecs The list of WeightsManifestEntry for the model. Must be
* passed if the modelJSON has a weightsManifest.
* @param weightData An ArrayBuffer of weight data for the model corresponding
* to the weights in weightSpecs. Must be passed if the modelJSON has a
* weightsManifest.
* @param weightData An ArrayBuffer or array of ArrayBuffers of weight data for
* the model corresponding to the weights in weightSpecs. Must be passed if
* the modelJSON has a weightsManifest.
* @returns A Promise of the `ModelArtifacts`, as described by the JSON file.
*/
declare function getModelArtifactsForJSONSync(modelJSON: ModelJSON, weightSpecs?: WeightsManifestEntry[], weightData?: ArrayBuffer): ModelArtifacts;
declare function getModelArtifactsForJSONSync(modelJSON: ModelJSON, weightSpecs?: WeightsManifestEntry[], weightData?: WeightData): ModelArtifacts;
/**
* Populate ModelArtifactsInfo fields for a model with JSON topology.
@ -4440,7 +4591,6 @@ export declare interface GPUData {
texture?: WebGLTexture;
buffer?: GPUBuffer;
texShape?: [number, number];
bufSize?: number;
}
/**
@ -4716,6 +4866,15 @@ export declare const image: {
transform: (image: TensorLike | Tensor4D, transforms: TensorLike | Tensor2D, interpolation?: "nearest" | "bilinear", fillMode?: "nearest" | "constant" | "reflect" | "wrap", fillValue?: number, outputShape?: [number, number]) => Tensor4D;
};
declare interface ImageOptions {
/**
* Optional. A number in range [0-1]. If the image is a 2D tensor or a 3D
* tensor with 1 or 3 channels, the alpha channels would set as its value;
* otherwise, it would not make effects.
*/
alpha?: number;
}
export declare type ImagInputs = Pick<NamedTensorInfoMap, 'input'>;
/**
@ -4822,6 +4981,7 @@ declare namespace io {
removeModel,
browserFiles,
browserHTTPRequest,
CompositeArrayBuffer,
concatenateArrayBuffers,
decodeWeights,
encodeWeights,
@ -4852,6 +5012,7 @@ declare namespace io {
SaveHandler,
SaveResult,
TrainingConfig,
WeightData,
WeightGroup,
weightsLoaderFactory,
WeightsManifestConfig,
@ -6315,10 +6476,12 @@ declare interface ModelArtifacts {
*/
weightSpecs?: WeightsManifestEntry[];
/**
* Binary buffer for all weight values concatenated in the order specified
* by `weightSpecs`.
* Binary buffer(s) for all weight values in the order specified by
* `weightSpecs`. This may be a single ArrayBuffer of all the weights
* concatenated together or an Array of ArrayBuffers containing the weights
* (weights may be sharded across multiple ArrayBuffers).
*/
weightData?: ArrayBuffer;
weightData?: WeightData;
/**
* Hard-coded format name for models saved from TensorFlow.js or converted
* by TensorFlow.js Converter.
@ -7865,11 +8028,38 @@ export declare const randomUniform: typeof randomUniform_;
* @param maxval The upper bound on the range of random values to generate.
* Defaults to 1.
* @param dtype The data type of the output tensor. Defaults to 'float32'.
* @param seed An optional int. Defaults to 0. If seed is set to be non-zero,
* the random number generator is seeded by the given seed. Otherwise, it is
* seeded by a random seed.
*
* @doc {heading: 'Tensors', subheading: 'Random'}
*/
declare function randomUniform_<R extends Rank>(shape: ShapeMap[R], minval?: number, maxval?: number, dtype?: DataType, seed?: number | string): Tensor<R>;
export declare const randomUniformInt: typeof randomUniformInt_;
/**
* Creates a `tf.Tensor` with integers sampled from a uniform distribution.
*
* The generated values are uniform integers in the range [minval, maxval). The
* lower bound minval is included in the range, while the upper bound maxval is
* excluded.
*
* ```js
* tf.randomUniformInt([2, 2], 0, 10).print();
* ```
*
* @param shape An array of integers defining the output tensor shape.
* @param minval Inclusive lower bound on the generated integers.
* @param maxval Exclusive upper bound on the generated integers.
* @param seed An optional int. Defaults to 0. If seed is set to be non-zero,
* the random number generator is seeded by the given seed. Otherwise, it is
* seeded by a random seed.
*
* @doc {heading: 'Tensors', subheading: 'Random'}
*/
declare function randomUniformInt_<R extends Rank>(shape: ShapeMap[R], minval: number, maxval: number, seed?: number | string): Tensor<R>;
/**
* Returns a sample from a uniform [a, b) distribution.
*
@ -10003,12 +10193,10 @@ export declare class Tensor<R extends Rank = Rank> implements TensorInfo {
* texShape: [number, number] // [height, width]
* }
*
* For WebGPU backend, a GPUData contains the new buffer and
* its information.
* For WebGPU backend, a GPUData contains the new buffer.
* {
* tensorRef: The tensor that is associated with this buffer,
* buffer: GPUBuffer,
* bufSize: number
* }
*
* Remember to dispose the GPUData after it is used by
@ -11042,6 +11230,7 @@ declare namespace util {
assertNonNull,
sizeFromShape,
isScalarShape,
arraysEqualWithNull,
arraysEqual,
isInt,
tanh_2 as tanh,
@ -11288,6 +11477,8 @@ export declare interface WebGPUData {
zeroCopy?: boolean;
}
declare type WeightData = ArrayBuffer | ArrayBuffer[];
/**
* Group to which the weight belongs.
*

41
types/tfjs.esm.d.ts vendored
View File

@ -22,7 +22,6 @@ import { PixelData } from './tfjs-core';
import { Rank } from './tfjs-core';
import { Scalar } from './tfjs-core';
import { serialization } from './tfjs-core';
import { ShapeMap } from './tfjs-core';
import { Tensor } from './tfjs-core';
import { Tensor2D } from './tfjs-core';
import { Tensor3D } from './tfjs-core';
@ -992,11 +991,7 @@ declare function bindVertexBufferToProgramAttribute(gl: WebGLRenderingContext, p
declare function bindVertexProgramAttributeStreams(gl: WebGLRenderingContext, program: WebGLProgram, vertexBuffer: WebGLBuffer): boolean;
declare type BufferInfo = {
size: number;
usage: GPUBufferUsageFlags;
buffer: GPUBuffer;
};
declare const bitwiseAndImpl: SimpleBinaryKernelImpl;
/**
* @license
@ -1023,10 +1018,8 @@ declare class BufferManager {
numBytesUsed: number;
numBytesAllocated: number;
constructor(device: GPUDevice);
acquireUploadBuffer(size: number, usage: GPUBufferUsageFlags): GPUBuffer;
acquireBuffer(size: number, usage: GPUBufferUsageFlags, mappedAtCreation?: boolean): GPUBuffer;
releaseBuffer(buffer: GPUBuffer, size: number, usage: GPUBufferUsageFlags): void;
releaseUploadBuffer(buffer: GPUBuffer, size: number, usage: GPUBufferUsageFlags): void;
acquireBuffer(size: number, usage: GPUBufferUsageFlags, mappedAtCreation?: boolean, reuse?: boolean): any;
releaseBuffer(buffer: GPUBuffer, reuse?: boolean): void;
getNumUsedBuffers(): number;
getNumFreeBuffers(): number;
dispose(): void;
@ -1268,7 +1261,7 @@ export declare type ClassWeightMap = {
[outputName: string]: ClassWeight;
};
declare const compileProgram: (device: GPUDevice, program: WebGPUProgram, inputsData: InputInfo[], output: TensorInfo_2) => GPUComputePipeline;
declare const compileProgram: (device: GPUDevice, program: WebGPUProgram, inputsData: InputInfo[], output: TensorInfo_2, parallelCompilation: boolean) => GPUComputePipeline | Promise<GPUComputePipeline>;
declare type ComplexBinaryKernelImpl = (aShape: number[], bShape: number[], aRealVals: Float32Array, aImagVals: Float32Array, bRealVals: Float32Array, bImagVals: Float32Array) => [TypedArray, TypedArray, number[]];
@ -3142,6 +3135,7 @@ export declare class GPGPUContext {
private createFence;
downloadMatrixFromPackedTexture(texture: WebGLTexture, physicalRows: number, physicalCols: number): Float32Array;
createProgram(fragmentShader: WebGLShader): GPGPUContextProgram;
buildVao(program: GPGPUContextProgram): void;
deleteProgram(program: GPGPUContextProgram): void;
setProgram(program: GPGPUContextProgram | null): void;
getUniformLocation(program: WebGLProgram, uniformName: string, shouldThrow?: boolean): WebGLUniformLocation;
@ -5822,7 +5816,7 @@ export declare interface LSTMLayerArgs extends SimpleRNNLayerArgs {
implementation?: number;
}
declare function makeShaderKey<R extends Rank>(program: WebGPUProgram, shapes: Array<ShapeMap[R]>, inputsData: InputInfo[], output: TensorInfo_2): string;
declare function makeShaderKey<R extends Rank>(program: WebGPUProgram, inputsData: InputInfo[], output: TensorInfo_2): string;
declare function MAPE(yTrue: Tensor, yPred: Tensor): Tensor;
@ -7503,7 +7497,6 @@ declare class RandomWidth extends BaseRandomLayer {
private widthLower;
private widthUpper;
private imgHeight;
private adjustedWidth;
private widthFactor;
constructor(args: RandomWidthArgs);
getConfig(): serialization.ConfigDict;
@ -8670,6 +8663,7 @@ declare namespace shared {
addImpl,
bincountImpl,
bincountReduceImpl,
bitwiseAndImpl,
castImpl,
ceilImpl,
concatImpl,
@ -9252,7 +9246,7 @@ declare type TensorData_3 = {
dtype: DataType;
shape: number[];
refCount: number;
resourceInfo?: BufferInfo | TextureInfo;
resource?: GPUBuffer | GPUTexture | GPUExternalTexture;
external?: boolean;
complexTensorInfos?: {
real: TensorInfo_2;
@ -9324,14 +9318,6 @@ declare interface TextureData {
};
}
declare type TextureInfo = {
width: number;
height: number;
format: GPUTextureFormat;
usage: GPUTextureUsageFlags;
texture: GPUTexture | GPUExternalTexture;
};
declare class TextureManager {
private readonly gpgpu;
private numUsedTextures;
@ -9378,7 +9364,7 @@ declare class TextureManager_2 {
numBytesAllocated: number;
constructor(device: GPUDevice);
acquireTexture(width: number, height: number, format: GPUTextureFormat, usage: GPUTextureUsageFlags): GPUTexture;
releaseTexture(texture: GPUTexture, width: number, height: number, format: GPUTextureFormat, usage: GPUTextureUsageFlags): void;
releaseTexture(texture: GPUTexture): void;
getNumUsedTextures(): number;
getNumFreeTextures(): number;
dispose(): void;
@ -9893,10 +9879,10 @@ export declare class WebGPUBackend extends KernelBackend {
private supportTimeQuery;
private uniformPendingDisposal;
private uploadWaitMs;
private hasReadSyncWarned;
private nextDataId;
constructor(device: GPUDevice, adapterInfo?: GPUAdapterInfo);
floatPrecision(): 32;
defaultGpuBufferUsage(): number;
/**
* Dispose the memory if the dataId has 0 refCount. Return true if the memory
* is released or memory is not managed in this backend, false if memory is
@ -9919,7 +9905,8 @@ export declare class WebGPUBackend extends KernelBackend {
ensureCommandEncoderReady(): void;
ensureComputePassEnded(): void;
getComputePass(): GPUComputePassEncoder;
getBufferData(buffer: GPUBuffer, size: number): Promise<ArrayBuffer>;
checkCompileCompletionAsync(): Promise<void>;
getBufferData(buffer: GPUBuffer): Promise<ArrayBuffer>;
private convertAndCacheOnCPU;
readSync(dataId: object): BackendValues;
read(dataId: object): Promise<BackendValues>;
@ -9927,7 +9914,7 @@ export declare class WebGPUBackend extends KernelBackend {
/**
* Create a TF.js tensor out of an existing WebGPU buffer.
*/
createTensorFromGPUData(values: WebGPUData, shape: number[], dtype: DataType): Tensor;
createTensorFromGPUData(webGPUData: WebGPUData, shape: number[], dtype: DataType): Tensor;
/**
* Read tensor to a new GPUBuffer.
* @param dataId The source tensor.
@ -9941,6 +9928,7 @@ export declare class WebGPUBackend extends KernelBackend {
uploadToGPU(dataId: DataId_4): void;
private makeUniforms;
runWebGPUProgram(program: webgpu_program.WebGPUProgram, inputs: TensorInfo_2[], outputDtype: DataType, programDefinedUniform?: ProgramUniform, output?: TensorInfo_2): TensorInfo_2;
private recordAndSubmit;
getTimeFromQuerySet(querySet: GPUQuerySet): Promise<number>;
shouldExecuteOnCPU(inputs: TensorInfo_2[], sizeThreshold?: any): boolean;
numDataIds(): number;
@ -9971,6 +9959,7 @@ export declare interface WebGPUProgram {
variableComponents?: number[];
workgroupSize: [number, number, number];
workPerThread?: number;
pipeline?: GPUComputePipeline | Promise<GPUComputePipeline>;
getUserCode: () => string;
}