simplify tfjs imports

CHANGELOG.md

@@ -11,6 +11,7 @@
   
 ### **HEAD -> master** 2021/09/11 mandic00@live.com
 
+- reduce bundle size
 - enable webgl uniforms
 
 ### **1.5.2** 2021/09/10 mandic00@live.com

build.json

@@ -67,6 +67,14 @@
         "output": "dist/face-api.node-gpu.js",
         "external": ["@tensorflow"]
       },
+      { 
+        "name": "tfjs/browser/tf-version",
+        "platform": "browser",
+        "format": "esm",
+        "input": "src/tfjs/tf-version.ts",
+        "output": "dist/tfjs.version.js",
+        "external": ["fs", "os", "buffer", "util"]
+      },
       {
         "name": "tfjs/browser/esm/nobundle",
         "platform": "browser",

dist/face-api.esm-nobundle.js

@@ -29,39 +29,31 @@ var __reExport = (target, module2, desc) => {
 // dist/tfjs.esm.js
 var tfjs_esm_exports = {};
 __export(tfjs_esm_exports, {
-  data: () => data,
-  version: () => version
+  version: () => version9
 });
 __reExport(tfjs_esm_exports, dist_star);
 __reExport(tfjs_esm_exports, dist_star2);
 __reExport(tfjs_esm_exports, dist_star3);
-__reExport(tfjs_esm_exports, dist_star4);
-__reExport(tfjs_esm_exports, dist_star5);
-__reExport(tfjs_esm_exports, dist_star6);
-import { version as tfjsVersion } from "@tensorflow/tfjs/package.json";
-import { version as tfjsCoreVersion } from "@tensorflow/tfjs-core/package.json";
-import { version as tfjsDataVersion } from "@tensorflow/tfjs-data/package.json";
-import { version as tfjsLayersVersion } from "@tensorflow/tfjs-layers/package.json";
-import { version as tfjsConverterVersion } from "@tensorflow/tfjs-converter/package.json";
-import { version as tfjsBackendCPUVersion } from "@tensorflow/tfjs-backend-cpu/package.json";
-import { version as tfjsBackendWebGLVersion } from "@tensorflow/tfjs-backend-webgl/package.json";
-import { version as tfjsBackendWASMVersion } from "@tensorflow/tfjs-backend-wasm/package.json";
-import * as dist_star from "@tensorflow/tfjs-core/dist/index.js";
-import * as dist_star2 from "@tensorflow/tfjs-layers/dist/index.js";
-import * as dist_star3 from "@tensorflow/tfjs-converter/dist/index.js";
-import * as data from "@tensorflow/tfjs-data/dist/index.js";
-import * as dist_star4 from "@tensorflow/tfjs-backend-cpu/dist/index.js";
-import * as dist_star5 from "@tensorflow/tfjs-backend-webgl/dist/index.js";
-import * as dist_star6 from "@tensorflow/tfjs-backend-wasm/dist/index.js";
-var version = {
-  tfjs: tfjsVersion,
-  "tfjs-core": tfjsCoreVersion,
-  "tfjs-data": tfjsDataVersion,
-  "tfjs-layers": tfjsLayersVersion,
-  "tfjs-converter": tfjsConverterVersion,
-  "tfjs-backend-cpu": tfjsBackendCPUVersion,
-  "tfjs-backend-webgl": tfjsBackendWebGLVersion,
-  "tfjs-backend-wasm": tfjsBackendWASMVersion
+import * as dist_star from "@tensorflow/tfjs/dist/index.js";
+import * as dist_star2 from "@tensorflow/tfjs-backend-webgl/dist/index.js";
+import * as dist_star3 from "@tensorflow/tfjs-backend-wasm/dist/index.js";
+var version = "3.9.0";
+var version2 = "3.9.0";
+var version3 = "3.9.0";
+var version4 = "3.9.0";
+var version5 = "3.9.0";
+var version6 = "3.9.0";
+var version7 = "3.9.0";
+var version8 = "3.9.0";
+var version9 = {
+  tfjs: version,
+  "tfjs-core": version2,
+  "tfjs-data": version3,
+  "tfjs-layers": version4,
+  "tfjs-converter": version5,
+  "tfjs-backend-cpu": version6,
+  "tfjs-backend-webgl": version7,
+  "tfjs-backend-wasm": version8
 };
 
 // src/draw/index.ts
@@ -2009,9 +2001,9 @@ var FaceExpressionNet = class extends FaceProcessor {
     const netInput = await toNetInput(input);
     const out = await this.forwardInput(netInput);
     const probabilitesByBatch = await Promise.all(tfjs_esm_exports.unstack(out).map(async (t) => {
-      const data2 = t.dataSync();
+      const data = t.dataSync();
       t.dispose();
-      return data2;
+      return data;
     }));
     out.dispose();
     const predictionsByBatch = probabilitesByBatch.map((probabilites) => new FaceExpressions(probabilites));
@@ -2156,7 +2148,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version2 = "1.5.2";
+var version10 = "1.5.2";
 
 // src/xception/extractParams.ts
 function extractorsFactory2(extractWeights, paramMappings) {
@@ -4390,7 +4382,7 @@ function resizeResults(results, dimensions) {
 // src/index.ts
 var node = typeof process !== "undefined";
 var browser3 = typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined";
-var version3 = { faceapi: version2, node, browser: browser3 };
+var version11 = { faceapi: version10, node, browser: browser3 };
 if (browser3) {
   tfjs_esm_exports.ENV.set("CHECK_COMPUTATION_FOR_ERRORS", false);
   tfjs_esm_exports.ENV.set("WEBGL_CPU_FORWARD", true);
@@ -4518,6 +4510,6 @@ export {
   toNetInput,
   utils_exports as utils,
   validateConfig,
-  version3 as version
+  version11 as version
 };
 //# sourceMappingURL=face-api.esm-nobundle.js.map

dist/face-api.esm.js

@@ -124,7 +124,6 @@ __export(tfjs_esm_exports, {
   LogicalAnd: () => LogicalAnd,
   LogicalNot: () => LogicalNot,
   LogicalOr: () => LogicalOr,
-  MathBackendCPU: () => MathBackendCPU,
   MathBackendWebGL: () => MathBackendWebGL,
   Max: () => Max,
   MaxPool: () => MaxPool,
@@ -434,7 +433,6 @@ __export(tfjs_esm_exports, {
   setWasmPaths: () => setWasmPaths,
   setWebGLContext: () => setWebGLContext,
   setdiff1dAsync: () => setdiff1dAsync,
-  shared: () => shared_exports,
   sigmoid: () => sigmoid,
   sign: () => sign,
   signal: () => signal,
@@ -493,13 +491,12 @@ __export(tfjs_esm_exports, {
   valueAndGrads: () => valueAndGrads,
   variable: () => variable,
   variableGrads: () => variableGrads,
-  version: () => version16,
-  version_converter: () => version11,
-  version_core: () => version9,
-  version_cpu: () => version13,
-  version_layers: () => version10,
-  version_wasm: () => version15,
-  version_webgl: () => version14,
+  version: () => version92,
+  version_converter: () => version3,
+  version_core: () => version,
+  version_layers: () => version2,
+  version_wasm: () => version8,
+  version_webgl: () => version5,
   webgl: () => webgl,
   webgl_util: () => webgl_util_exports,
   where: () => where,
@@ -6010,14 +6007,6 @@ var require_tfjs_backend_wasm = __commonJS({
       exports["WasmBackendModule"] = WasmBackendModule;
   }
 });
-var version = "3.9.0";
-var version2 = "3.9.0";
-var version3 = "3.9.0";
-var version4 = "3.9.0";
-var version5 = "3.9.0";
-var version6 = "3.9.0";
-var version7 = "3.9.0";
-var version8 = "3.9.0";
 var EPSILON_FLOAT32 = 1e-7;
 var EPSILON_FLOAT16 = 1e-4;
 var DataStorage = class {
@@ -10920,7 +10909,7 @@ function encodeStrings(a) {
   }
   return a;
 }
-var version9 = "3.9.0";
+var version = "3.9.0";
 function enableProdMode() {
   env().set("PROD", true);
 }
@@ -17947,6 +17936,551 @@ var gradConfigs = [
 for (const gradientConfig of gradConfigs) {
   registerGradient(gradientConfig);
 }
+getGlobalTensorClass().prototype.abs = function() {
+  this.throwIfDisposed();
+  return abs(this);
+};
+getGlobalTensorClass().prototype.acos = function() {
+  this.throwIfDisposed();
+  return acos(this);
+};
+getGlobalTensorClass().prototype.acosh = function() {
+  this.throwIfDisposed();
+  return acosh(this);
+};
+getGlobalTensorClass().prototype.add = function(b) {
+  this.throwIfDisposed();
+  return add2(this, b);
+};
+getGlobalTensorClass().prototype.all = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return all(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.any = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return any(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.argMax = function(axis) {
+  this.throwIfDisposed();
+  return argMax(this, axis);
+};
+getGlobalTensorClass().prototype.argMin = function(axis) {
+  this.throwIfDisposed();
+  return argMin(this, axis);
+};
+getGlobalTensorClass().prototype.asScalar = function() {
+  this.throwIfDisposed();
+  assert(this.size === 1, () => "The array must have only 1 element.");
+  return reshape(this, []);
+};
+getGlobalTensorClass().prototype.asType = function(dtype) {
+  this.throwIfDisposed();
+  return cast(this, dtype);
+};
+getGlobalTensorClass().prototype.as1D = function() {
+  this.throwIfDisposed();
+  return reshape(this, [this.size]);
+};
+getGlobalTensorClass().prototype.as2D = function(rows, columns) {
+  this.throwIfDisposed();
+  return reshape(this, [rows, columns]);
+};
+getGlobalTensorClass().prototype.as3D = function(rows, columns, depth) {
+  this.throwIfDisposed();
+  return reshape(this, [rows, columns, depth]);
+};
+getGlobalTensorClass().prototype.as4D = function(rows, columns, depth, depth2) {
+  this.throwIfDisposed();
+  return reshape(this, [rows, columns, depth, depth2]);
+};
+getGlobalTensorClass().prototype.as5D = function(rows, columns, depth, depth2, depth3) {
+  this.throwIfDisposed();
+  return reshape(this, [rows, columns, depth, depth2, depth3]);
+};
+getGlobalTensorClass().prototype.asin = function() {
+  this.throwIfDisposed();
+  return asin(this);
+};
+getGlobalTensorClass().prototype.asinh = function() {
+  this.throwIfDisposed();
+  return asinh(this);
+};
+getGlobalTensorClass().prototype.atan = function() {
+  this.throwIfDisposed();
+  return atan(this);
+};
+getGlobalTensorClass().prototype.atan2 = function(b) {
+  this.throwIfDisposed();
+  return atan2(this, b);
+};
+getGlobalTensorClass().prototype.atanh = function() {
+  this.throwIfDisposed();
+  return atanh(this);
+};
+getGlobalTensorClass().prototype.avgPool = function(filterSize, strides, pad3, dimRoundingMode) {
+  this.throwIfDisposed();
+  return avgPool(this, filterSize, strides, pad3, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.batchToSpaceND = function(blockShape, crops) {
+  this.throwIfDisposed();
+  return batchToSpaceND(this, blockShape, crops);
+};
+getGlobalTensorClass().prototype.batchNorm = function(mean4, variance, offset, scale22, varianceEpsilon) {
+  this.throwIfDisposed();
+  return batchNorm(this, mean4, variance, offset, scale22, varianceEpsilon);
+};
+getGlobalTensorClass().prototype.broadcastTo = function(shape) {
+  this.throwIfDisposed();
+  return broadcastTo(this, shape);
+};
+getGlobalTensorClass().prototype.cast = function(dtype) {
+  this.throwIfDisposed();
+  return cast(this, dtype);
+};
+getGlobalTensorClass().prototype.ceil = function() {
+  this.throwIfDisposed();
+  return ceil(this);
+};
+getGlobalTensorClass().prototype.clipByValue = function(min6, max6) {
+  this.throwIfDisposed();
+  return clipByValue(this, min6, max6);
+};
+getGlobalTensorClass().prototype.concat = function(x, axis) {
+  this.throwIfDisposed();
+  if (x instanceof Tensor) {
+    x = [x];
+  }
+  return concat([this, ...x], axis);
+};
+getGlobalTensorClass().prototype.conv1d = function(filter, stride, pad3, dataFormat, dilation, dimRoundingMode) {
+  this.throwIfDisposed();
+  return conv1d(this, filter, stride, pad3, dataFormat, dilation, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.conv2dTranspose = function(filter, outputShape, strides, pad3, dimRoundingMode) {
+  this.throwIfDisposed();
+  return conv2dTranspose(this, filter, outputShape, strides, pad3, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.conv2d = function(filter, strides, pad3, dataFormat, dilations, dimRoundingMode) {
+  this.throwIfDisposed();
+  return conv2d(this, filter, strides, pad3, dataFormat, dilations, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.cos = function() {
+  this.throwIfDisposed();
+  return cos(this);
+};
+getGlobalTensorClass().prototype.cosh = function() {
+  this.throwIfDisposed();
+  return cosh(this);
+};
+getGlobalTensorClass().prototype.cumsum = function(axis, exclusive, reverse5) {
+  this.throwIfDisposed();
+  return cumsum(this, axis, exclusive, reverse5);
+};
+getGlobalTensorClass().prototype.depthToSpace = function(blockSize, dataFormat) {
+  this.throwIfDisposed();
+  return depthToSpace(this, blockSize, dataFormat);
+};
+getGlobalTensorClass().prototype.depthwiseConv2d = function(filter, strides, pad3, dataFormat, dilations, dimRoundingMode) {
+  this.throwIfDisposed();
+  return depthwiseConv2d(this, filter, strides, pad3, dataFormat, dilations, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.dilation2d = function(filter, strides, pad3, dilations, dataFormat) {
+  this.throwIfDisposed();
+  return dilation2d(this, filter, strides, pad3, dilations, dataFormat);
+};
+getGlobalTensorClass().prototype.divNoNan = function(b) {
+  this.throwIfDisposed();
+  return divNoNan(this, b);
+};
+getGlobalTensorClass().prototype.div = function(b) {
+  this.throwIfDisposed();
+  return div(this, b);
+};
+getGlobalTensorClass().prototype.dot = function(b) {
+  this.throwIfDisposed();
+  return dot(this, b);
+};
+getGlobalTensorClass().prototype.elu = function() {
+  this.throwIfDisposed();
+  return elu(this);
+};
+getGlobalTensorClass().prototype.equal = function(b) {
+  this.throwIfDisposed();
+  return equal(this, b);
+};
+getGlobalTensorClass().prototype.erf = function() {
+  this.throwIfDisposed();
+  return erf(this);
+};
+getGlobalTensorClass().prototype.exp = function() {
+  this.throwIfDisposed();
+  return exp(this);
+};
+getGlobalTensorClass().prototype.expandDims = function(axis) {
+  this.throwIfDisposed();
+  return expandDims(this, axis);
+};
+getGlobalTensorClass().prototype.expm1 = function() {
+  this.throwIfDisposed();
+  return expm1(this);
+};
+getGlobalTensorClass().prototype.fft = function() {
+  this.throwIfDisposed();
+  return fft(this);
+};
+getGlobalTensorClass().prototype.flatten = function() {
+  this.throwIfDisposed();
+  return reshape(this, [this.size]);
+};
+getGlobalTensorClass().prototype.floor = function() {
+  this.throwIfDisposed();
+  return floor(this);
+};
+getGlobalTensorClass().prototype.floorDiv = function(b) {
+  this.throwIfDisposed();
+  return floorDiv(this, b);
+};
+getGlobalTensorClass().prototype.gather = function(indices, axis) {
+  this.throwIfDisposed();
+  return gather(this, indices, axis);
+};
+getGlobalTensorClass().prototype.greaterEqual = function(b) {
+  this.throwIfDisposed();
+  return greaterEqual(this, b);
+};
+getGlobalTensorClass().prototype.greater = function(b) {
+  this.throwIfDisposed();
+  return greater(this, b);
+};
+getGlobalTensorClass().prototype.ifft = function() {
+  this.throwIfDisposed();
+  return ifft(this);
+};
+getGlobalTensorClass().prototype.irfft = function() {
+  this.throwIfDisposed();
+  return irfft(this);
+};
+getGlobalTensorClass().prototype.isFinite = function() {
+  this.throwIfDisposed();
+  return isFinite2(this);
+};
+getGlobalTensorClass().prototype.isInf = function() {
+  this.throwIfDisposed();
+  return isInf(this);
+};
+getGlobalTensorClass().prototype.isNaN = function() {
+  this.throwIfDisposed();
+  return isNaN2(this);
+};
+getGlobalTensorClass().prototype.leakyRelu = function(alpha) {
+  this.throwIfDisposed();
+  return leakyRelu(this, alpha);
+};
+getGlobalTensorClass().prototype.lessEqual = function(b) {
+  this.throwIfDisposed();
+  return lessEqual(this, b);
+};
+getGlobalTensorClass().prototype.less = function(b) {
+  this.throwIfDisposed();
+  return less(this, b);
+};
+getGlobalTensorClass().prototype.localResponseNormalization = function(depthRadius, bias, alpha, beta) {
+  this.throwIfDisposed();
+  return localResponseNormalization(this, depthRadius, bias, alpha, beta);
+};
+getGlobalTensorClass().prototype.logSigmoid = function() {
+  this.throwIfDisposed();
+  return logSigmoid(this);
+};
+getGlobalTensorClass().prototype.logSoftmax = function(axis) {
+  this.throwIfDisposed();
+  return logSoftmax(this, axis);
+};
+getGlobalTensorClass().prototype.logSumExp = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return logSumExp(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.log = function() {
+  this.throwIfDisposed();
+  return log5(this);
+};
+getGlobalTensorClass().prototype.log1p = function() {
+  this.throwIfDisposed();
+  return log1p(this);
+};
+getGlobalTensorClass().prototype.logicalAnd = function(b) {
+  this.throwIfDisposed();
+  return logicalAnd(this, b);
+};
+getGlobalTensorClass().prototype.logicalNot = function() {
+  this.throwIfDisposed();
+  return logicalNot(this);
+};
+getGlobalTensorClass().prototype.logicalOr = function(b) {
+  this.throwIfDisposed();
+  return logicalOr(this, b);
+};
+getGlobalTensorClass().prototype.logicalXor = function(b) {
+  this.throwIfDisposed();
+  return logicalXor(this, b);
+};
+getGlobalTensorClass().prototype.matMul = function(b, transposeA, transposeB) {
+  this.throwIfDisposed();
+  return matMul(this, b, transposeA, transposeB);
+};
+getGlobalTensorClass().prototype.maxPool = function(filterSize, strides, pad3, dimRoundingMode) {
+  this.throwIfDisposed();
+  return maxPool(this, filterSize, strides, pad3, dimRoundingMode);
+};
+getGlobalTensorClass().prototype.max = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return max(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.maximum = function(b) {
+  this.throwIfDisposed();
+  return maximum(this, b);
+};
+getGlobalTensorClass().prototype.mean = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return mean(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.min = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return min(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.minimum = function(b) {
+  this.throwIfDisposed();
+  return minimum(this, b);
+};
+getGlobalTensorClass().prototype.mirrorPad = function(paddings, mode) {
+  this.throwIfDisposed();
+  return mirrorPad(this, paddings, mode);
+};
+getGlobalTensorClass().prototype.mod = function(b) {
+  this.throwIfDisposed();
+  return mod(this, b);
+};
+getGlobalTensorClass().prototype.mul = function(b) {
+  this.throwIfDisposed();
+  return mul(this, b);
+};
+getGlobalTensorClass().prototype.neg = function() {
+  this.throwIfDisposed();
+  return neg(this);
+};
+getGlobalTensorClass().prototype.norm = function(ord, axis, keepDims) {
+  this.throwIfDisposed();
+  return norm(this, ord, axis, keepDims);
+};
+getGlobalTensorClass().prototype.notEqual = function(b) {
+  this.throwIfDisposed();
+  return notEqual(this, b);
+};
+getGlobalTensorClass().prototype.oneHot = function(depth, onValue = 1, offValue = 0) {
+  this.throwIfDisposed();
+  return oneHot(this, depth, onValue, offValue);
+};
+getGlobalTensorClass().prototype.onesLike = function() {
+  this.throwIfDisposed();
+  return onesLike(this);
+};
+getGlobalTensorClass().prototype.pad = function(paddings, constantValue) {
+  this.throwIfDisposed();
+  return pad(this, paddings, constantValue);
+};
+getGlobalTensorClass().prototype.pool = function(windowShape, poolingType, padding, dilationRate, strides) {
+  this.throwIfDisposed();
+  return pool(this, windowShape, poolingType, padding, dilationRate, strides);
+};
+getGlobalTensorClass().prototype.pow = function(exp4) {
+  this.throwIfDisposed();
+  return pow(this, exp4);
+};
+getGlobalTensorClass().prototype.prelu = function(alpha) {
+  this.throwIfDisposed();
+  return prelu(this, alpha);
+};
+getGlobalTensorClass().prototype.prod = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return prod(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.reciprocal = function() {
+  this.throwIfDisposed();
+  return reciprocal(this);
+};
+getGlobalTensorClass().prototype.relu = function() {
+  this.throwIfDisposed();
+  return relu(this);
+};
+getGlobalTensorClass().prototype.relu6 = function() {
+  this.throwIfDisposed();
+  return relu6(this);
+};
+getGlobalTensorClass().prototype.reshapeAs = function(x) {
+  this.throwIfDisposed();
+  return reshape(this, x.shape);
+};
+getGlobalTensorClass().prototype.reshape = function(shape) {
+  this.throwIfDisposed();
+  return reshape(this, shape);
+};
+getGlobalTensorClass().prototype.resizeBilinear = function(newShape2D, alignCorners, halfPixelCenters) {
+  this.throwIfDisposed();
+  return resizeBilinear(this, newShape2D, alignCorners, halfPixelCenters);
+};
+getGlobalTensorClass().prototype.resizeNearestNeighbor = function(newShape2D, alignCorners, halfFloatCenters) {
+  this.throwIfDisposed();
+  return resizeNearestNeighbor(this, newShape2D, alignCorners, halfFloatCenters);
+};
+getGlobalTensorClass().prototype.reverse = function(axis) {
+  this.throwIfDisposed();
+  return reverse(this, axis);
+};
+getGlobalTensorClass().prototype.rfft = function() {
+  this.throwIfDisposed();
+  return rfft(this);
+};
+getGlobalTensorClass().prototype.round = function() {
+  this.throwIfDisposed();
+  return round2(this);
+};
+getGlobalTensorClass().prototype.rsqrt = function() {
+  this.throwIfDisposed();
+  return rsqrt(this);
+};
+getGlobalTensorClass().prototype.selu = function() {
+  this.throwIfDisposed();
+  return selu(this);
+};
+getGlobalTensorClass().prototype.separableConv2d = function(depthwiseFilter, pointwiseFilter, strides, pad3, dilation, dataFormat) {
+  this.throwIfDisposed();
+  return separableConv2d(this, depthwiseFilter, pointwiseFilter, strides, pad3, dilation, dataFormat);
+};
+getGlobalTensorClass().prototype.sigmoid = function() {
+  this.throwIfDisposed();
+  return sigmoid(this);
+};
+getGlobalTensorClass().prototype.sign = function() {
+  this.throwIfDisposed();
+  return sign(this);
+};
+getGlobalTensorClass().prototype.sin = function() {
+  this.throwIfDisposed();
+  return sin(this);
+};
+getGlobalTensorClass().prototype.sinh = function() {
+  this.throwIfDisposed();
+  return sinh(this);
+};
+getGlobalTensorClass().prototype.slice = function(begin, size) {
+  this.throwIfDisposed();
+  return slice(this, begin, size);
+};
+getGlobalTensorClass().prototype.softmax = function(dim) {
+  this.throwIfDisposed();
+  return softmax(this, dim);
+};
+getGlobalTensorClass().prototype.softplus = function() {
+  this.throwIfDisposed();
+  return softplus(this);
+};
+getGlobalTensorClass().prototype.spaceToBatchND = function(blockShape, paddings) {
+  this.throwIfDisposed();
+  return spaceToBatchND(this, blockShape, paddings);
+};
+getGlobalTensorClass().prototype.split = function(numOrSizeSplits, axis) {
+  this.throwIfDisposed();
+  return split(this, numOrSizeSplits, axis);
+};
+getGlobalTensorClass().prototype.sqrt = function() {
+  this.throwIfDisposed();
+  return sqrt(this);
+};
+getGlobalTensorClass().prototype.square = function() {
+  this.throwIfDisposed();
+  return square(this);
+};
+getGlobalTensorClass().prototype.squaredDifference = function(b) {
+  this.throwIfDisposed();
+  return squaredDifference(this, b);
+};
+getGlobalTensorClass().prototype.squeeze = function(axis) {
+  this.throwIfDisposed();
+  return squeeze(this, axis);
+};
+getGlobalTensorClass().prototype.stack = function(x, axis) {
+  this.throwIfDisposed();
+  const tensorsToBeStacked = x instanceof Tensor ? [this, x] : [this, ...x];
+  return stack(tensorsToBeStacked, axis);
+};
+getGlobalTensorClass().prototype.step = function(alpha) {
+  this.throwIfDisposed();
+  return step(this, alpha);
+};
+getGlobalTensorClass().prototype.stridedSlice = function(begin, end, strides, beginMask, endMask, ellipsisMask, newAxisMask, shrinkAxisMask) {
+  this.throwIfDisposed();
+  return stridedSlice(this, begin, end, strides, beginMask, endMask, ellipsisMask, newAxisMask, shrinkAxisMask);
+};
+getGlobalTensorClass().prototype.sub = function(b) {
+  this.throwIfDisposed();
+  return sub(this, b);
+};
+getGlobalTensorClass().prototype.sum = function(axis, keepDims) {
+  this.throwIfDisposed();
+  return sum2(this, axis, keepDims);
+};
+getGlobalTensorClass().prototype.tan = function() {
+  this.throwIfDisposed();
+  return tan(this);
+};
+getGlobalTensorClass().prototype.tanh = function() {
+  this.throwIfDisposed();
+  return tanh2(this);
+};
+getGlobalTensorClass().prototype.tile = function(reps) {
+  this.throwIfDisposed();
+  return tile(this, reps);
+};
+getGlobalTensorClass().prototype.toBool = function() {
+  this.throwIfDisposed();
+  return cast(this, "bool");
+};
+getGlobalTensorClass().prototype.toFloat = function() {
+  this.throwIfDisposed();
+  return cast(this, "float32");
+};
+getGlobalTensorClass().prototype.toInt = function() {
+  this.throwIfDisposed();
+  return cast(this, "int32");
+};
+getGlobalTensorClass().prototype.topk = function(k, sorted) {
+  this.throwIfDisposed();
+  return topk(this, k, sorted);
+};
+getGlobalTensorClass().prototype.transpose = function(perm) {
+  this.throwIfDisposed();
+  return transpose(this, perm);
+};
+getGlobalTensorClass().prototype.unique = function(axis) {
+  this.throwIfDisposed();
+  return unique(this, axis);
+};
+getGlobalTensorClass().prototype.unsortedSegmentSum = function(segmentIds, numSegments) {
+  this.throwIfDisposed();
+  return unsortedSegmentSum(this, segmentIds, numSegments);
+};
+getGlobalTensorClass().prototype.unstack = function(axis) {
+  this.throwIfDisposed();
+  return unstack(this, axis);
+};
+getGlobalTensorClass().prototype.where = function(condition, x) {
+  this.throwIfDisposed();
+  return where(condition, this, x);
+};
+getGlobalTensorClass().prototype.zerosLike = function() {
+  this.throwIfDisposed();
+  return zerosLike(this);
+};
 var exports_constraints_exports = {};
 __export2(exports_constraints_exports, {
   maxNorm: () => maxNorm,
@@ -21031,7 +21565,7 @@ function convertTsToPythonic(tsConfig, key) {
     return pyDict;
   }
 }
-var version10 = "3.9.0";
+var version2 = "3.9.0";
 function assertFeedCompatibility(key, val) {
   if (key.dtype == null || key.dtype === val.dtype) {
     return val;
@@ -21635,7 +22169,7 @@ var Container = class extends Layer {
     const modelConfig = {};
     modelConfig["className"] = this.getClassName();
     modelConfig["config"] = theConfig;
-    modelConfig["kerasVersion"] = `tfjs-layers ${version10}`;
+    modelConfig["kerasVersion"] = `tfjs-layers ${version2}`;
     modelConfig["backend"] = "TensorFlow.js";
     return modelConfig;
   }
@@ -23427,7 +23961,7 @@ var LayersModel = class extends Container {
     const modelArtifacts = {
       modelTopology: modelConfig,
       format: LAYERS_MODEL_FORMAT_NAME,
-      generatedBy: `TensorFlow.js tfjs-layers v${version10}`,
+      generatedBy: `TensorFlow.js tfjs-layers v${version2}`,
       convertedBy: null
     };
     const includeOptimizer = config == null ? false : config.includeOptimizer;
@@ -35050,7 +35584,7 @@ async function loadGraphModel(modelUrl, options = {}) {
   await model2.load();
   return model2;
 }
-var version11 = "3.9.0";
+var version3 = "3.9.0";
 var dist_exports = {};
 __export2(dist_exports, {
   CSVDataset: () => CSVDataset,
@@ -35063,7 +35597,7 @@ __export2(dist_exports, {
   func: () => func,
   generator: () => generator,
   microphone: () => microphone,
-  version_data: () => version12,
+  version_data: () => version4,
   webcam: () => webcam,
   zip: () => zip
 });
@@ -36779,7 +37313,7 @@ async function webcam(webcamVideoElement, webcamConfig) {
 async function microphone(microphoneConfig) {
   return MicrophoneIterator.create(microphoneConfig);
 }
-var version12 = "3.9.0";
+var version4 = "3.9.0";
 function assertNotComplex(tensor2, opName) {
   if (!Array.isArray(tensor2)) {
     tensor2 = [tensor2];
@@ -38275,7 +38809,6 @@ function uniqueImpl(values, axis, shape, dtype) {
     indices
   };
 }
-var version13 = "3.9.0";
 registerBackend("cpu", () => new MathBackendCPU(), 1);
 var elu4 = unaryKernelFunc(Elu, (xi) => xi >= 0 ? xi : Math.exp(xi) - 1);
 var eluConfig = {
@@ -43552,7 +44085,7 @@ ENV3.registerFlag("WEBGL_USE_SHAPES_UNIFORMS", () => false);
 ENV3.registerFlag("TOPK_LAST_DIM_CPU_HANDOFF_SIZE_THRESHOLD", () => 1e5);
 ENV3.registerFlag("TOPK_K_CPU_HANDOFF_THRESHOLD", () => 128);
 function getGlslDifferences() {
-  let version172;
+  let version10;
   let attribute;
   let varyingVs;
   let varyingFs;
@@ -43563,7 +44096,7 @@ function getGlslDifferences() {
   let defineSpecialInf;
   let defineRound;
   if (env().getNumber("WEBGL_VERSION") === 2) {
-    version172 = "#version 300 es";
+    version10 = "#version 300 es";
     attribute = "in";
     varyingVs = "out";
     varyingFs = "in";
@@ -43594,7 +44127,7 @@ function getGlslDifferences() {
       }
     `;
   } else {
-    version172 = "";
+    version10 = "";
     attribute = "attribute";
     varyingVs = "varying";
     varyingFs = "varying";
@@ -43631,7 +44164,7 @@ function getGlslDifferences() {
     `;
   }
   return {
-    version: version172,
+    version: version10,
     attribute,
     varyingVs,
     varyingFs,
@@ -47518,7 +48051,7 @@ function float32ToTypedArray(a, dtype) {
     throw new Error(`Unknown dtype ${dtype}`);
   }
 }
-var version14 = "3.9.0";
+var version5 = "3.9.0";
 function forceHalfFloat() {
   env().set("WEBGL_FORCE_F16_TEXTURES", true);
 }
@@ -59555,21 +60088,29 @@ function setWasmPaths(prefixOrFileMap, usePlatformFetch = false) {
   }
   customFetch = usePlatformFetch;
 }
-var version15 = "3.9.0";
+var version8 = "3.9.0";
 var WASM_PRIORITY = 2;
 registerBackend("wasm", async () => {
   const { wasm } = await init();
   return new BackendWasm(wasm);
 }, WASM_PRIORITY);
-var version16 = {
-  tfjs: version,
-  "tfjs-core": version2,
-  "tfjs-data": version3,
-  "tfjs-layers": version4,
-  "tfjs-converter": version5,
-  "tfjs-backend-cpu": version6,
-  "tfjs-backend-webgl": version7,
-  "tfjs-backend-wasm": version8
+var version9 = "3.9.0";
+var version22 = "3.9.0";
+var version32 = "3.9.0";
+var version42 = "3.9.0";
+var version52 = "3.9.0";
+var version62 = "3.9.0";
+var version72 = "3.9.0";
+var version82 = "3.9.0";
+var version92 = {
+  tfjs: version9,
+  "tfjs-core": version22,
+  "tfjs-data": version32,
+  "tfjs-layers": version42,
+  "tfjs-converter": version52,
+  "tfjs-backend-cpu": version62,
+  "tfjs-backend-webgl": version72,
+  "tfjs-backend-wasm": version82
 };
 
 // src/draw/index.ts
@@ -61664,7 +62205,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version17 = "1.5.2";
+var version6 = "1.5.2";
 
 // src/xception/extractParams.ts
 function extractorsFactory2(extractWeights, paramMappings) {
@@ -63898,7 +64439,7 @@ function resizeResults(results, dimensions) {
 // src/index.ts
 var node = typeof process !== "undefined";
 var browser = typeof navigator !== "undefined" && typeof navigator.userAgent !== "undefined";
-var version18 = { faceapi: version17, node, browser };
+var version7 = { faceapi: version6, node, browser };
 if (browser) {
   ENV.set("CHECK_COMPUTATION_FOR_ERRORS", false);
   ENV.set("WEBGL_CPU_FORWARD", true);
@@ -64026,7 +64567,7 @@ export {
   toNetInput,
   utils_exports as utils,
   validateConfig,
-  version18 as version
+  version7 as version
 };
 /**
  * @license

dist/tfjs.version.js

@@ -0,0 +1,44 @@
+/*
+  Face-API
+  homepage: <https://github.com/vladmandic/face-api>
+  author: <https://github.com/vladmandic>'
+*/
+
+// node_modules/.pnpm/@tensorflow+tfjs@3.9.0_seedrandom@3.0.5/node_modules/@tensorflow/tfjs/package.json
+var version = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-core/package.json
+var version2 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-data@3.9.0_470c05e138890ee649df8440b2dfddf4/node_modules/@tensorflow/tfjs-data/package.json
+var version3 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-layers@3.9.0_@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-layers/package.json
+var version4 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-converter@3.9.0_@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-converter/package.json
+var version5 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@3.9.0_@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json
+var version6 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@3.9.0_@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json
+var version7 = "3.9.0";
+
+// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@3.9.0_@tensorflow+tfjs-core@3.9.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json
+var version8 = "3.9.0";
+
+// src/tfjs/tf-version.ts
+var version9 = {
+  tfjs: version,
+  "tfjs-core": version2,
+  "tfjs-data": version3,
+  "tfjs-layers": version4,
+  "tfjs-converter": version5,
+  "tfjs-backend-cpu": version6,
+  "tfjs-backend-webgl": version7,
+  "tfjs-backend-wasm": version8
+};
+export {
+  version9 as version
+};

package.json

@@ -53,14 +53,14 @@
     "@tensorflow/tfjs-node": "^3.9.0",
     "@tensorflow/tfjs-node-gpu": "^3.9.0",
     "@types/node": "^16.9.1",
-    "@typescript-eslint/eslint-plugin": "^4.31.0",
-    "@typescript-eslint/parser": "^4.31.0",
+    "@typescript-eslint/eslint-plugin": "^4.31.1",
+    "@typescript-eslint/parser": "^4.31.1",
     "@vladmandic/build": "^0.4.1",
-    "@vladmandic/pilogger": "^0.3.1",
+    "@vladmandic/pilogger": "^0.3.2",
     "canvas": "^2.8.0",
     "chokidar": "^3.5.2",
     "dayjs": "^1.10.7",
-    "esbuild": "^0.12.26",
+    "esbuild": "^0.12.28",
     "eslint": "^7.32.0",
     "eslint-config-airbnb-base": "^14.2.1",
     "eslint-plugin-import": "^2.24.2",
@@ -72,7 +72,7 @@
     "seedrandom": "^3.0.5",
     "simple-git": "^2.45.1",
     "tslib": "^2.3.1",
-    "typedoc": "^0.22.2",
+    "typedoc": "^0.22.3",
     "typescript": "4.4.3"
   }
 }

src/tfjs/tf-browser.ts

@@ -3,36 +3,13 @@
  * @external
  */
 
-// get versions of all packages
-import { version as tfjsVersion } from '@tensorflow/tfjs/package.json';
-import { version as tfjsCoreVersion } from '@tensorflow/tfjs-core/package.json';
-import { version as tfjsDataVersion } from '@tensorflow/tfjs-data/package.json';
-import { version as tfjsLayersVersion } from '@tensorflow/tfjs-layers/package.json';
-import { version as tfjsConverterVersion } from '@tensorflow/tfjs-converter/package.json';
-import { version as tfjsBackendCPUVersion } from '@tensorflow/tfjs-backend-cpu/package.json';
-import { version as tfjsBackendWebGLVersion } from '@tensorflow/tfjs-backend-webgl/package.json';
-import { version as tfjsBackendWASMVersion } from '@tensorflow/tfjs-backend-wasm/package.json';
-
-// export all from build
-export * from '@tensorflow/tfjs-core/dist/index.js';
-export * from '@tensorflow/tfjs-layers/dist/index.js';
-export * from '@tensorflow/tfjs-converter/dist/index.js';
-export * as data from '@tensorflow/tfjs-data/dist/index.js';
-export * from '@tensorflow/tfjs-backend-cpu/dist/index.js';
+// export all from build bundle
+export * from '@tensorflow/tfjs/dist/index.js';
 export * from '@tensorflow/tfjs-backend-webgl/dist/index.js';
 export * from '@tensorflow/tfjs-backend-wasm/dist/index.js';
-// export * from '@tensorflow/tfjs-backend-webgpu/dist/index.js'; // experimental
 
-// export versions
-export const version = {
-  tfjs: tfjsVersion,
-  'tfjs-core': tfjsCoreVersion,
-  'tfjs-data': tfjsDataVersion,
-  'tfjs-layers': tfjsLayersVersion,
-  'tfjs-converter': tfjsConverterVersion,
-  'tfjs-backend-cpu': tfjsBackendCPUVersion,
-  'tfjs-backend-webgl': tfjsBackendWebGLVersion,
-  'tfjs-backend-wasm': tfjsBackendWASMVersion,
-};
+// add webgpu to bundle, experimental
+// export * from '@tensorflow/tfjs-backend-webgpu/dist/index.js';
 
-// export * from '@tensorflow/tfjs';
+// export versions, overrides version object from @tensorflow/tfjs
+export { version } from '../../dist/tfjs.version.js';

src/tfjs/tf-version.ts

@@ -0,0 +1,20 @@
+// get versions of all packages
+import { version as tfjsVersion } from '@tensorflow/tfjs/package.json';
+import { version as tfjsCoreVersion } from '@tensorflow/tfjs-core/package.json';
+import { version as tfjsDataVersion } from '@tensorflow/tfjs-data/package.json';
+import { version as tfjsLayersVersion } from '@tensorflow/tfjs-layers/package.json';
+import { version as tfjsConverterVersion } from '@tensorflow/tfjs-converter/package.json';
+import { version as tfjsBackendCPUVersion } from '@tensorflow/tfjs-backend-cpu/package.json';
+import { version as tfjsBackendWebGLVersion } from '@tensorflow/tfjs-backend-webgl/package.json';
+import { version as tfjsBackendWASMVersion } from '@tensorflow/tfjs-backend-wasm/package.json';
+
+export const version = {
+  tfjs: tfjsVersion,
+  'tfjs-core': tfjsCoreVersion,
+  'tfjs-data': tfjsDataVersion,
+  'tfjs-layers': tfjsLayersVersion,
+  'tfjs-converter': tfjsConverterVersion,
+  'tfjs-backend-cpu': tfjsBackendCPUVersion,
+  'tfjs-backend-webgl': tfjsBackendWebGLVersion,
+  'tfjs-backend-wasm': tfjsBackendWASMVersion,
+};