add dynamic kernel op detection

2021-09-12 13:17:33 -04:00 · 2021-09-12 13:17:33 -04:00 · 55fc6f536f
parent 116424f81b
commit 55fc6f536f
20 changed files with 1791 additions and 1237 deletions
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@ -11,6 +11,7 @@
  
 ### **HEAD -> main** 2021/09/12 mandic00@live.com

+- minor typos
 - release candidate
 - parametrize face config
 - mark all config items as optional
--- a/dist/human.esm-nobundle.js
+++ b/dist/human.esm-nobundle.js
@ -3791,6 +3791,74 @@ var UV68 = VTX68.map((x) => UV468[x]);
 var UV33 = VTX33.map((x) => UV468[x]);
 var UV7 = VTX7.map((x) => UV468[x]);

+// src/env.ts
+var env2 = {
+  browser: void 0,
+  node: void 0,
+  worker: void 0,
+  platform: void 0,
+  agent: void 0,
+  backends: [],
+  tfjs: {
+    version: void 0,
+    external: void 0
+  },
+  wasm: {
+    supported: void 0,
+    simd: void 0,
+    multithread: void 0
+  },
+  webgl: {
+    supported: void 0,
+    version: void 0,
+    renderer: void 0
+  },
+  webgpu: {
+    supported: void 0,
+    adapter: void 0
+  },
+  kernels: []
+};
+async function get() {
+  var _a;
+  env2.browser = typeof navigator !== "undefined";
+  env2.node = typeof process !== "undefined";
+  env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
+  env2.tfjs.version = tfjs_esm_exports.version_core;
+  if (typeof navigator !== "undefined") {
+    const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
+    if (raw && raw[0]) {
+      const platformMatch = raw[0].match(/\(([^()]+)\)/g);
+      env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
+      env2.agent = navigator.userAgent.replace(raw[0], "");
+      if (env2.platform[1])
+        env2.agent = env2.agent.replace(raw[1], "");
+      env2.agent = env2.agent.replace(/  /g, " ");
+    }
+  } else if (typeof process !== "undefined") {
+    env2.platform = `${process.platform} ${process.arch}`;
+    env2.agent = `NodeJS ${process.version}`;
+  }
+  env2.backends = Object.keys(tfjs_esm_exports.engine().registryFactory);
+  env2.wasm.supported = env2.backends.includes("wasm");
+  if (env2.wasm.supported) {
+    env2.wasm.simd = await tfjs_esm_exports.env().getAsync("WASM_HAS_SIMD_SUPPORT");
+    env2.wasm.multithread = await tfjs_esm_exports.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
+  }
+  env2.webgl.supported = typeof tfjs_esm_exports.backend().gpgpu !== "undefined";
+  if (env2.webgl.supported) {
+    const gl = await tfjs_esm_exports.backend().getGPGPUContext().gl;
+    if (gl) {
+      env2.webgl.version = gl.getParameter(gl.VERSION);
+      env2.webgl.renderer = gl.getParameter(gl.RENDERER);
+    }
+  }
+  env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
+  if (env2.webgpu.supported)
+    env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
+  env2.kernels = tfjs_esm_exports.getKernelsForBackend(tfjs_esm_exports.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());
+}
+
 // src/blazeface/facepipeline.ts
 var leftOutline = MESH_ANNOTATIONS["leftEyeLower0"];
 var rightOutline = MESH_ANNOTATIONS["rightEyeLower0"];
@ -3879,7 +3947,7 @@ var Pipeline = class {
      box6.endPoint[1] / this.meshSize,
      box6.endPoint[0] / this.meshSize
    ]], [0], [this.irisSize, this.irisSize]);
-    if (flip && tfjs_esm_exports.ENV.flags.IS_BROWSER) {
+    if (flip && env2.kernels.includes("flipleftright")) {
      const flipped = tfjs_esm_exports.image.flipLeftRight(crop);
      tfjs_esm_exports.dispose(crop);
      crop = flipped;
@ -4004,7 +4072,7 @@ var Pipeline = class {
      let face5;
      let angle = 0;
      let rotationMatrix;
-      if (config3.face.detector.rotation && config3.face.mesh.enabled && tfjs_esm_exports.ENV.flags.IS_BROWSER) {
+      if (config3.face.detector.rotation && config3.face.mesh.enabled && env2.kernels.includes("rotatewithoffset")) {
        [angle, rotationMatrix, face5] = this.correctFaceRotation(config3, box6, input);
      } else {
        rotationMatrix = IDENTITY_MATRIX;
@ -4040,7 +4108,7 @@ var Pipeline = class {
            rawCoords = await this.augmentIris(rawCoords, face5);
          const mesh = this.transformRawCoords(rawCoords, box6, angle, rotationMatrix);
          box6 = { ...enlargeBox(calculateLandmarksBoundingBox(mesh), 1.5), confidence: box6.confidence };
-          if (config3.face.detector.rotation && config3.face.mesh.enabled && config3.face.description.enabled && tfjs_esm_exports.ENV.flags.IS_BROWSER) {
+          if (config3.face.detector.rotation && config3.face.mesh.enabled && config3.face.description.enabled && env2.kernels.includes("rotatewithoffset")) {
            [angle, rotationMatrix, face5] = this.correctFaceRotation(config3, box6, input);
          }
          results.push({
@ -7866,7 +7934,7 @@ var HandPipeline = class {
        const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0;
        const palmCenter = getBoxCenter2(currentBox);
        const palmCenterNormalized = [palmCenter[0] / image18.shape[2], palmCenter[1] / image18.shape[1]];
-        const rotatedImage = config3.hand.rotation && tfjs_esm_exports.ENV.flags.IS_BROWSER ? tfjs_esm_exports.image.rotateWithOffset(image18, angle, 0, palmCenterNormalized) : image18.clone();
+        const rotatedImage = config3.hand.rotation && env2.kernels.includes("rotatewithoffset") ? tfjs_esm_exports.image.rotateWithOffset(image18, angle, 0, palmCenterNormalized) : image18.clone();
        const rotationMatrix = buildRotationMatrix2(-angle, palmCenter);
        const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;
        const croppedInput = cutBoxFromImageAndResize2(newBox, rotatedImage, [this.inputSize, this.inputSize]);
@ -8923,6 +8991,8 @@ async function predict9(image18, config3) {
    return last3;
  }
  skipped5 = 0;
+  if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
+    return last3;
  return new Promise(async (resolve) => {
    const outputSize = [image18.shape[2], image18.shape[1]];
    const resize = tfjs_esm_exports.image.resizeBilinear(image18, [model7.inputSize, model7.inputSize], false);
@ -9010,6 +9080,8 @@ async function predict10(input, config3) {
    return last4;
  }
  skipped6 = 0;
+  if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
+    return last4;
  return new Promise(async (resolve) => {
    const outputSize = [input.shape[2], input.shape[1]];
    const resize = tfjs_esm_exports.image.resizeBilinear(input, [model8.inputSize, model8.inputSize]);
@ -9796,7 +9868,7 @@ function process4(input, config3) {
          outCanvas.width = inCanvas == null ? void 0 : inCanvas.width;
        if ((outCanvas == null ? void 0 : outCanvas.height) !== (inCanvas == null ? void 0 : inCanvas.height))
          outCanvas.height = inCanvas == null ? void 0 : inCanvas.height;
-        fx = tfjs_esm_exports.ENV.flags.IS_BROWSER ? new GLImageFilter({ canvas: outCanvas }) : null;
+        fx = env2.browser ? new GLImageFilter({ canvas: outCanvas }) : null;
      }
      if (!fx)
        return { tensor: null, canvas: inCanvas };
@ -11711,74 +11783,6 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
 2Q==`;

-// src/env.ts
-var env2 = {
-  browser: void 0,
-  node: void 0,
-  worker: void 0,
-  platform: void 0,
-  agent: void 0,
-  backends: [],
-  tfjs: {
-    version: void 0,
-    external: void 0
-  },
-  wasm: {
-    supported: void 0,
-    simd: void 0,
-    multithread: void 0
-  },
-  webgl: {
-    supported: void 0,
-    version: void 0,
-    renderer: void 0
-  },
-  webgpu: {
-    supported: void 0,
-    adapter: void 0
-  },
-  kernels: []
-};
-async function get() {
-  var _a;
-  env2.browser = typeof navigator !== "undefined";
-  env2.node = typeof process !== "undefined";
-  env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
-  env2.tfjs.version = tfjs_esm_exports.version_core;
-  if (typeof navigator !== "undefined") {
-    const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
-    if (raw && raw[0]) {
-      const platformMatch = raw[0].match(/\(([^()]+)\)/g);
-      env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
-      env2.agent = navigator.userAgent.replace(raw[0], "");
-      if (env2.platform[1])
-        env2.agent = env2.agent.replace(raw[1], "");
-      env2.agent = env2.agent.replace(/  /g, " ");
-    }
-  } else if (typeof process !== "undefined") {
-    env2.platform = `${process.platform} ${process.arch}`;
-    env2.agent = `NodeJS ${process.version}`;
-  }
-  env2.backends = Object.keys(tfjs_esm_exports.engine().registryFactory);
-  env2.wasm.supported = env2.backends.includes("wasm");
-  if (env2.wasm.supported) {
-    env2.wasm.simd = await tfjs_esm_exports.env().getAsync("WASM_HAS_SIMD_SUPPORT");
-    env2.wasm.multithread = await tfjs_esm_exports.env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
-  }
-  env2.webgl.supported = typeof tfjs_esm_exports.backend().gpgpu !== "undefined";
-  if (env2.webgl.supported) {
-    const gl = await tfjs_esm_exports.backend().getGPGPUContext().gl;
-    if (gl) {
-      env2.webgl.version = gl.getParameter(gl.VERSION);
-      env2.webgl.renderer = gl.getParameter(gl.RENDERER);
-    }
-  }
-  env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
-  if (env2.webgpu.supported)
-    env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
-  env2.kernels = tfjs_esm_exports.getKernelsForBackend(tfjs_esm_exports.getBackend()).map((kernel) => kernel.kernelName);
-}
-
 // package.json
 var version2 = "2.2.0";

@ -11807,7 +11811,7 @@ var Human = class {
        return null;
      if (!input)
        return "input is not defined";
-      if (this.tf.ENV.flags.IS_NODE && !(input instanceof tfjs_esm_exports.Tensor))
+      if (this.env.node && !(input instanceof tfjs_esm_exports.Tensor))
        return "input must be a tensor";
      try {
        this.tf.getBackend();
@ -11822,22 +11826,22 @@ var Human = class {
    });
    __privateAdd(this, _checkBackend, async () => {
      var _a;
-      if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
+      if (__privateGet(this, _firstRun) || this.config.backend && this.config.backend.length > 0 && this.tf.getBackend() !== this.config.backend) {
        const timeStamp = now();
        this.state = "backend";
        if (this.config.backend && this.config.backend.length > 0) {
          if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && this.config.debug) {
            log("running inside web worker");
          }
-          if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "tensorflow") {
+          if (this.env.browser && this.config.backend === "tensorflow") {
            log("override: backend set to tensorflow while running in browser");
            this.config.backend = "humangl";
          }
-          if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
+          if (this.env.node && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
            log(`override: backend set to ${this.config.backend} while running in nodejs`);
            this.config.backend = "tensorflow";
          }
-          if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
+          if (this.env.browser && this.config.backend === "webgpu") {
            if (typeof navigator === "undefined" || typeof navigator["gpu"] === "undefined") {
              log("override: backend set to webgpu but browser does not support webgpu");
              this.config.backend = "humangl";
@ -11854,8 +11858,8 @@ var Human = class {
            log("available backends:", available);
          if (!available.includes(this.config.backend)) {
            log(`error: backend ${this.config.backend} not found in registry`);
-            this.config.backend = this.tf.ENV.flags.IS_NODE ? "tensorflow" : "humangl";
-            log(`override: using backend ${this.config.backend} instead`);
+            this.config.backend = this.env.node ? "tensorflow" : "humangl";
+            log(`override: setting backend ${this.config.backend}`);
          }
          if (this.config.debug)
            log("setting backend:", this.config.backend);
@ -11895,6 +11899,7 @@ var Human = class {
        this.tf.enableProdMode();
        await this.tf.ready();
        this.performance.backend = Math.trunc(now() - timeStamp);
+        this.config.backend = this.tf.getBackend();
        get();
        this.env = env2;
      }
@ -12057,10 +12062,8 @@ var Human = class {
        log(`version: ${this.version}`);
      if (this.config.debug)
        log(`tfjs version: ${this.tf.version_core}`);
-      if (this.config.debug)
-        log("environment:", env2);
      await __privateGet(this, _checkBackend).call(this);
-      if (this.tf.ENV.flags.IS_BROWSER) {
+      if (this.env.browser) {
        if (this.config.debug)
          log("configuration:", this.config);
        if (this.config.debug)
--- a/dist/human.esm-nobundle.js.map
+++ b/dist/human.esm-nobundle.js.map
--- a/dist/human.esm.js
+++ b/dist/human.esm.js
@ -63299,6 +63299,74 @@ var UV68 = VTX68.map((x) => UV468[x]);
 var UV33 = VTX33.map((x) => UV468[x]);
 var UV7 = VTX7.map((x) => UV468[x]);

+// src/env.ts
+var env2 = {
+  browser: void 0,
+  node: void 0,
+  worker: void 0,
+  platform: void 0,
+  agent: void 0,
+  backends: [],
+  tfjs: {
+    version: void 0,
+    external: void 0
+  },
+  wasm: {
+    supported: void 0,
+    simd: void 0,
+    multithread: void 0
+  },
+  webgl: {
+    supported: void 0,
+    version: void 0,
+    renderer: void 0
+  },
+  webgpu: {
+    supported: void 0,
+    adapter: void 0
+  },
+  kernels: []
+};
+async function get3() {
+  var _a;
+  env2.browser = typeof navigator !== "undefined";
+  env2.node = typeof process !== "undefined";
+  env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
+  env2.tfjs.version = version9;
+  if (typeof navigator !== "undefined") {
+    const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
+    if (raw && raw[0]) {
+      const platformMatch = raw[0].match(/\(([^()]+)\)/g);
+      env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
+      env2.agent = navigator.userAgent.replace(raw[0], "");
+      if (env2.platform[1])
+        env2.agent = env2.agent.replace(raw[1], "");
+      env2.agent = env2.agent.replace(/  /g, " ");
+    }
+  } else if (typeof process !== "undefined") {
+    env2.platform = `${process.platform} ${process.arch}`;
+    env2.agent = `NodeJS ${process.version}`;
+  }
+  env2.backends = Object.keys(engine().registryFactory);
+  env2.wasm.supported = env2.backends.includes("wasm");
+  if (env2.wasm.supported) {
+    env2.wasm.simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
+    env2.wasm.multithread = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
+  }
+  env2.webgl.supported = typeof backend().gpgpu !== "undefined";
+  if (env2.webgl.supported) {
+    const gl = await backend().getGPGPUContext().gl;
+    if (gl) {
+      env2.webgl.version = gl.getParameter(gl.VERSION);
+      env2.webgl.renderer = gl.getParameter(gl.RENDERER);
+    }
+  }
+  env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
+  if (env2.webgpu.supported)
+    env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
+  env2.kernels = getKernelsForBackend(getBackend()).map((kernel) => kernel.kernelName.toLowerCase());
+}
+
 // src/blazeface/facepipeline.ts
 var leftOutline = MESH_ANNOTATIONS["leftEyeLower0"];
 var rightOutline = MESH_ANNOTATIONS["rightEyeLower0"];
@ -63387,7 +63455,7 @@ var Pipeline = class {
      box6.endPoint[1] / this.meshSize,
      box6.endPoint[0] / this.meshSize
    ]], [0], [this.irisSize, this.irisSize]);
-    if (flip && ENV.flags.IS_BROWSER) {
+    if (flip && env2.kernels.includes("flipleftright")) {
      const flipped = image.flipLeftRight(crop);
      dispose(crop);
      crop = flipped;
@ -63512,7 +63580,7 @@ var Pipeline = class {
      let face5;
      let angle = 0;
      let rotationMatrix;
-      if (config3.face.detector.rotation && config3.face.mesh.enabled && ENV.flags.IS_BROWSER) {
+      if (config3.face.detector.rotation && config3.face.mesh.enabled && env2.kernels.includes("rotatewithoffset")) {
        [angle, rotationMatrix, face5] = this.correctFaceRotation(config3, box6, input2);
      } else {
        rotationMatrix = IDENTITY_MATRIX;
@ -63548,7 +63616,7 @@ var Pipeline = class {
            rawCoords = await this.augmentIris(rawCoords, face5);
          const mesh = this.transformRawCoords(rawCoords, box6, angle, rotationMatrix);
          box6 = { ...enlargeBox(calculateLandmarksBoundingBox(mesh), 1.5), confidence: box6.confidence };
-          if (config3.face.detector.rotation && config3.face.mesh.enabled && config3.face.description.enabled && ENV.flags.IS_BROWSER) {
+          if (config3.face.detector.rotation && config3.face.mesh.enabled && config3.face.description.enabled && env2.kernels.includes("rotatewithoffset")) {
            [angle, rotationMatrix, face5] = this.correctFaceRotation(config3, box6, input2);
          }
          results.push({
@ -67374,7 +67442,7 @@ var HandPipeline = class {
        const angle = config3.hand.rotation ? computeRotation2(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0;
        const palmCenter = getBoxCenter2(currentBox);
        const palmCenterNormalized = [palmCenter[0] / image4.shape[2], palmCenter[1] / image4.shape[1]];
-        const rotatedImage = config3.hand.rotation && ENV.flags.IS_BROWSER ? image.rotateWithOffset(image4, angle, 0, palmCenterNormalized) : image4.clone();
+        const rotatedImage = config3.hand.rotation && env2.kernels.includes("rotatewithoffset") ? image.rotateWithOffset(image4, angle, 0, palmCenterNormalized) : image4.clone();
        const rotationMatrix = buildRotationMatrix2(-angle, palmCenter);
        const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;
        const croppedInput = cutBoxFromImageAndResize2(newBox, rotatedImage, [this.inputSize, this.inputSize]);
@ -68431,6 +68499,8 @@ async function predict9(image4, config3) {
    return last3;
  }
  skipped5 = 0;
+  if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
+    return last3;
  return new Promise(async (resolve) => {
    const outputSize = [image4.shape[2], image4.shape[1]];
    const resize = image.resizeBilinear(image4, [model8.inputSize, model8.inputSize], false);
@ -68518,6 +68588,8 @@ async function predict10(input2, config3) {
    return last4;
  }
  skipped6 = 0;
+  if (!env2.kernels.includes("mod") || !env2.kernels.includes("sparsetodense"))
+    return last4;
  return new Promise(async (resolve) => {
    const outputSize = [input2.shape[2], input2.shape[1]];
    const resize = image.resizeBilinear(input2, [model9.inputSize, model9.inputSize]);
@ -69304,7 +69376,7 @@ function process4(input2, config3) {
          outCanvas.width = inCanvas == null ? void 0 : inCanvas.width;
        if ((outCanvas == null ? void 0 : outCanvas.height) !== (inCanvas == null ? void 0 : inCanvas.height))
          outCanvas.height = inCanvas == null ? void 0 : inCanvas.height;
-        fx = ENV.flags.IS_BROWSER ? new GLImageFilter({ canvas: outCanvas }) : null;
+        fx = env2.browser ? new GLImageFilter({ canvas: outCanvas }) : null;
      }
      if (!fx)
        return { tensor: null, canvas: inCanvas };
@ -71219,74 +71291,6 @@ SbAjYZAI2E7AIEgIEgIEgMdkSy2NgY7MdlmyNoBXsxmFuyNgVTVjNV3KjlBRNTlXTVHKCrlIqt5T
 lBhEMohlFerLlBjEMohMVTEARDKCITsAk2AEgAAAkAAAAAAAAAAAAAAAAAAAAAAAASAAAAAAAAD/
 2Q==`;

-// src/env.ts
-var env2 = {
-  browser: void 0,
-  node: void 0,
-  worker: void 0,
-  platform: void 0,
-  agent: void 0,
-  backends: [],
-  tfjs: {
-    version: void 0,
-    external: void 0
-  },
-  wasm: {
-    supported: void 0,
-    simd: void 0,
-    multithread: void 0
-  },
-  webgl: {
-    supported: void 0,
-    version: void 0,
-    renderer: void 0
-  },
-  webgpu: {
-    supported: void 0,
-    adapter: void 0
-  },
-  kernels: []
-};
-async function get3() {
-  var _a;
-  env2.browser = typeof navigator !== "undefined";
-  env2.node = typeof process !== "undefined";
-  env2.worker = env2.browser ? typeof WorkerGlobalScope !== "undefined" : void 0;
-  env2.tfjs.version = version9;
-  if (typeof navigator !== "undefined") {
-    const raw = navigator.userAgent.match(/\(([^()]+)\)/g);
-    if (raw && raw[0]) {
-      const platformMatch = raw[0].match(/\(([^()]+)\)/g);
-      env2.platform = platformMatch && platformMatch[0] ? platformMatch[0].replace(/\(|\)/g, "") : "";
-      env2.agent = navigator.userAgent.replace(raw[0], "");
-      if (env2.platform[1])
-        env2.agent = env2.agent.replace(raw[1], "");
-      env2.agent = env2.agent.replace(/  /g, " ");
-    }
-  } else if (typeof process !== "undefined") {
-    env2.platform = `${process.platform} ${process.arch}`;
-    env2.agent = `NodeJS ${process.version}`;
-  }
-  env2.backends = Object.keys(engine().registryFactory);
-  env2.wasm.supported = env2.backends.includes("wasm");
-  if (env2.wasm.supported) {
-    env2.wasm.simd = await env().getAsync("WASM_HAS_SIMD_SUPPORT");
-    env2.wasm.multithread = await env().getAsync("WASM_HAS_MULTITHREAD_SUPPORT");
-  }
-  env2.webgl.supported = typeof backend().gpgpu !== "undefined";
-  if (env2.webgl.supported) {
-    const gl = await backend().getGPGPUContext().gl;
-    if (gl) {
-      env2.webgl.version = gl.getParameter(gl.VERSION);
-      env2.webgl.renderer = gl.getParameter(gl.RENDERER);
-    }
-  }
-  env2.webgpu.supported = env2.browser && typeof navigator["gpu"] !== "undefined";
-  if (env2.webgpu.supported)
-    env2.webgpu.adapter = (_a = await navigator["gpu"].requestAdapter()) == null ? void 0 : _a.name;
-  env2.kernels = getKernelsForBackend(getBackend()).map((kernel) => kernel.kernelName);
-}
-
 // package.json
 var version17 = "2.2.0";

@ -71315,7 +71319,7 @@ var Human = class {
        return null;
      if (!input2)
        return "input is not defined";
-      if (this.tf.ENV.flags.IS_NODE && !(input2 instanceof Tensor))
+      if (this.env.node && !(input2 instanceof Tensor))
        return "input must be a tensor";
      try {
        this.tf.getBackend();
@ -71330,22 +71334,22 @@ var Human = class {
    });
    __privateAdd(this, _checkBackend, async () => {
      var _a;
-      if (__privateGet(this, _firstRun) || (this.config.backend && this.config.backend.length > 0 || this.tf.getBackend() !== this.config.backend)) {
+      if (__privateGet(this, _firstRun) || this.config.backend && this.config.backend.length > 0 && this.tf.getBackend() !== this.config.backend) {
        const timeStamp = now();
        this.state = "backend";
        if (this.config.backend && this.config.backend.length > 0) {
          if (typeof window === "undefined" && typeof WorkerGlobalScope !== "undefined" && this.config.debug) {
            log("running inside web worker");
          }
-          if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "tensorflow") {
+          if (this.env.browser && this.config.backend === "tensorflow") {
            log("override: backend set to tensorflow while running in browser");
            this.config.backend = "humangl";
          }
-          if (this.tf.ENV.flags.IS_NODE && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
+          if (this.env.node && (this.config.backend === "webgl" || this.config.backend === "humangl")) {
            log(`override: backend set to ${this.config.backend} while running in nodejs`);
            this.config.backend = "tensorflow";
          }
-          if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === "webgpu") {
+          if (this.env.browser && this.config.backend === "webgpu") {
            if (typeof navigator === "undefined" || typeof navigator["gpu"] === "undefined") {
              log("override: backend set to webgpu but browser does not support webgpu");
              this.config.backend = "humangl";
@ -71362,8 +71366,8 @@ var Human = class {
            log("available backends:", available);
          if (!available.includes(this.config.backend)) {
            log(`error: backend ${this.config.backend} not found in registry`);
-            this.config.backend = this.tf.ENV.flags.IS_NODE ? "tensorflow" : "humangl";
-            log(`override: using backend ${this.config.backend} instead`);
+            this.config.backend = this.env.node ? "tensorflow" : "humangl";
+            log(`override: setting backend ${this.config.backend}`);
          }
          if (this.config.debug)
            log("setting backend:", this.config.backend);
@ -71403,6 +71407,7 @@ var Human = class {
        this.tf.enableProdMode();
        await this.tf.ready();
        this.performance.backend = Math.trunc(now() - timeStamp);
+        this.config.backend = this.tf.getBackend();
        get3();
        this.env = env2;
      }
@ -71565,10 +71570,8 @@ var Human = class {
        log(`version: ${this.version}`);
      if (this.config.debug)
        log(`tfjs version: ${this.tf.version_core}`);
-      if (this.config.debug)
-        log("environment:", env2);
      await __privateGet(this, _checkBackend).call(this);
-      if (this.tf.ENV.flags.IS_BROWSER) {
+      if (this.env.browser) {
        if (this.config.debug)
          log("configuration:", this.config);
        if (this.config.debug)
--- a/dist/human.esm.js.map
+++ b/dist/human.esm.js.map
--- a/dist/human.js
+++ b/dist/human.js
--- a/dist/human.node-gpu.js
+++ b/dist/human.node-gpu.js
--- a/dist/human.node-wasm.js
+++ b/dist/human.node-wasm.js
--- a/dist/human.node.js
+++ b/dist/human.node.js
--- a/src/blazeface/facepipeline.ts
+++ b/src/blazeface/facepipeline.ts
@ -4,6 +4,7 @@ import * as util from './util';
 import * as coords from './coords';
 import { Tensor, GraphModel } from '../tfjs/types';
 import { BlazeFaceModel } from './blazeface';
+import { env } from '../env';

 const leftOutline = coords.MESH_ANNOTATIONS['leftEyeLower0'];
 const rightOutline = coords.MESH_ANNOTATIONS['rightEyeLower0'];
@ -114,7 +115,7 @@ export class Pipeline {
      box.startPoint[0] / this.meshSize, box.endPoint[1] / this.meshSize,
      box.endPoint[0] / this.meshSize,
    ]], [0], [this.irisSize, this.irisSize]);
-    if (flip && tf.ENV.flags.IS_BROWSER) {
+    if (flip && env.kernels.includes('flipleftright')) {
      const flipped = tf.image.flipLeftRight(crop); // flipLeftRight is not defined for tfjs-node
      tf.dispose(crop);
      crop = flipped;
@ -257,7 +258,7 @@ export class Pipeline {
      let angle = 0;
      let rotationMatrix;

-      if (config.face.detector.rotation && config.face.mesh.enabled && tf.ENV.flags.IS_BROWSER) {
+      if (config.face.detector.rotation && config.face.mesh.enabled && env.kernels.includes('rotatewithoffset')) {
        [angle, rotationMatrix, face] = this.correctFaceRotation(config, box, input);
      } else {
        rotationMatrix = util.IDENTITY_MATRIX;
@ -302,7 +303,7 @@ export class Pipeline {
          box = { ...bounding.enlargeBox(bounding.calculateLandmarksBoundingBox(mesh), 1.5), confidence: box.confidence }; // redefine box with mesh calculated one

          // do rotation one more time with mesh keypoints if we want to return perfect image
-          if (config.face.detector.rotation && config.face.mesh.enabled && config.face.description.enabled && tf.ENV.flags.IS_BROWSER) {
+          if (config.face.detector.rotation && config.face.mesh.enabled && config.face.description.enabled && env.kernels.includes('rotatewithoffset')) {
            [angle, rotationMatrix, face] = this.correctFaceRotation(config, box, input);
          }

--- a/src/env.ts
+++ b/src/env.ts
@ -121,7 +121,7 @@ export async function get() {
  if (env.webgpu.supported) env.webgpu.adapter = (await navigator['gpu'].requestAdapter())?.name;

  // enumerate kernels
-  env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName);
+  env.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());

  // get cpu info
  // cpuinfo();
--- a/src/handpose/handpipeline.ts
+++ b/src/handpose/handpipeline.ts
@ -3,6 +3,7 @@ import * as box from './box';
 import * as util from './util';
 import * as detector from './handdetector';
 import { Tensor, GraphModel } from '../tfjs/types';
+import { env } from '../env';

 const palmBoxEnlargeFactor = 5; // default 3
 const handBoxEnlargeFactor = 1.65; // default 1.65
@ -109,7 +110,7 @@ export class HandPipeline {
        const angle = config.hand.rotation ? util.computeRotation(currentBox.palmLandmarks[palmLandmarksPalmBase], currentBox.palmLandmarks[palmLandmarksMiddleFingerBase]) : 0;
        const palmCenter = box.getBoxCenter(currentBox);
        const palmCenterNormalized = [palmCenter[0] / image.shape[2], palmCenter[1] / image.shape[1]];
-        const rotatedImage = config.hand.rotation && tf.ENV.flags.IS_BROWSER ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();
+        const rotatedImage = config.hand.rotation && env.kernels.includes('rotatewithoffset') ? tf.image.rotateWithOffset(image, angle, 0, palmCenterNormalized) : image.clone();
        const rotationMatrix = util.buildRotationMatrix(-angle, palmCenter);
        const newBox = useFreshBox ? this.getBoxForPalmLandmarks(currentBox.palmLandmarks, rotationMatrix) : currentBox;
        const croppedInput = box.cutBoxFromImageAndResize(newBox, rotatedImage, [this.inputSize, this.inputSize]);
--- a/src/human.ts
+++ b/src/human.ts
@ -226,7 +226,7 @@ export class Human {
  #sanity = (input: Input): null | string => {
    if (!this.#checkSanity) return null;
    if (!input) return 'input is not defined';
-    if (this.tf.ENV.flags.IS_NODE && !(input instanceof tf.Tensor)) return 'input must be a tensor';
+    if (this.env.node && !(input instanceof tf.Tensor)) return 'input must be a tensor';
    try {
      this.tf.getBackend();
    } catch {
@ -293,10 +293,10 @@ export class Human {
    if (this.#firstRun) { // print version info on first run and check for correct backend setup
      if (this.config.debug) log(`version: ${this.version}`);
      if (this.config.debug) log(`tfjs version: ${this.tf.version_core}`);
-      if (this.config.debug) log('environment:', env.env);
+      // if (this.config.debug) log('environment:', this.env);

      await this.#checkBackend();
-      if (this.tf.ENV.flags.IS_BROWSER) {
+      if (this.env.browser) {
        if (this.config.debug) log('configuration:', this.config);
        if (this.config.debug) log('tf flags:', this.tf.ENV.flags);
      }
@ -322,7 +322,7 @@ export class Human {
  // check if backend needs initialization if it changed
  /** @hidden */
  #checkBackend = async () => {
-    if (this.#firstRun || (this.config.backend && (this.config.backend.length > 0) || (this.tf.getBackend() !== this.config.backend))) {
+    if (this.#firstRun || (this.config.backend && (this.config.backend.length > 0) && (this.tf.getBackend() !== this.config.backend))) {
      const timeStamp = now();
      this.state = 'backend';
      /* force backend reload
@ -343,17 +343,17 @@ export class Human {
        }

        // force browser vs node backend
-        if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === 'tensorflow') {
+        if (this.env.browser && this.config.backend === 'tensorflow') {
          log('override: backend set to tensorflow while running in browser');
          this.config.backend = 'humangl';
        }
-        if (this.tf.ENV.flags.IS_NODE && (this.config.backend === 'webgl' || this.config.backend === 'humangl')) {
+        if (this.env.node && (this.config.backend === 'webgl' || this.config.backend === 'humangl')) {
          log(`override: backend set to ${this.config.backend} while running in nodejs`);
          this.config.backend = 'tensorflow';
        }

        // handle webgpu
-        if (this.tf.ENV.flags.IS_BROWSER && this.config.backend === 'webgpu') {
+        if (this.env.browser && this.config.backend === 'webgpu') {
          if (typeof navigator === 'undefined' || typeof navigator['gpu'] === 'undefined') {
            log('override: backend set to webgpu but browser does not support webgpu');
            this.config.backend = 'humangl';
@ -370,8 +370,8 @@ export class Human {

        if (!available.includes(this.config.backend)) {
          log(`error: backend ${this.config.backend} not found in registry`);
-          this.config.backend = this.tf.ENV.flags.IS_NODE ? 'tensorflow' : 'humangl';
-          log(`override: using backend ${this.config.backend} instead`);
+          this.config.backend = this.env.node ? 'tensorflow' : 'humangl';
+          log(`override: setting backend ${this.config.backend}`);
        }

        if (this.config.debug) log('setting backend:', this.config.backend);
@ -415,6 +415,7 @@ export class Human {
      this.tf.enableProdMode();
      await this.tf.ready();
      this.performance.backend = Math.trunc(now() - timeStamp);
+      this.config.backend = this.tf.getBackend();

      env.get(); // update env on backend init
      this.env = env.env;
--- a/src/image/image.ts
+++ b/src/image/image.ts
@ -6,6 +6,7 @@ import * as tf from '../../dist/tfjs.esm.js';
 import * as fxImage from './imagefx';
 import { Tensor } from '../tfjs/types';
 import { Config } from '../config';
+import { env } from '../env';

 type Input = Tensor | typeof Image | ImageData | ImageBitmap | HTMLImageElement | HTMLMediaElement | HTMLVideoElement | HTMLCanvasElement | OffscreenCanvas;

@ -90,7 +91,7 @@ export function process(input: Input, config: Config): { tensor: Tensor | null,
        if (outCanvas?.width !== inCanvas?.width) outCanvas.width = inCanvas?.width;
        if (outCanvas?.height !== inCanvas?.height) outCanvas.height = inCanvas?.height;
        // log('created FX filter');
-        fx = tf.ENV.flags.IS_BROWSER ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')
+        fx = env.browser ? new fxImage.GLImageFilter({ canvas: outCanvas }) : null; // && (typeof document !== 'undefined')
      }
      if (!fx) return { tensor: null, canvas: inCanvas };
      fx.reset();
--- a/src/object/centernet.ts
+++ b/src/object/centernet.ts
@ -8,6 +8,7 @@ import { labels } from './labels';
 import { ObjectResult } from '../result';
 import { GraphModel, Tensor } from '../tfjs/types';
 import { Config } from '../config';
+import { env } from '../env';

 let model;
 let last: ObjectResult[] = [];
@ -76,6 +77,7 @@ export async function predict(input: Tensor, config: Config): Promise<ObjectResu
    return last;
  }
  skipped = 0;
+  if (!env.kernels.includes('mod') || !env.kernels.includes('sparsetodense')) return last;
  return new Promise(async (resolve) => {
    const outputSize = [input.shape[2], input.shape[1]];
    const resize = tf.image.resizeBilinear(input, [model.inputSize, model.inputSize]);
--- a/src/object/nanodet.ts
+++ b/src/object/nanodet.ts
@ -8,6 +8,7 @@ import { labels } from './labels';
 import { ObjectResult } from '../result';
 import { GraphModel, Tensor } from '../tfjs/types';
 import { Config } from '../config';
+import { env } from '../env';

 let model;
 let last: Array<ObjectResult> = [];
@ -108,6 +109,7 @@ export async function predict(image: Tensor, config: Config): Promise<ObjectResu
    return last;
  }
  skipped = 0;
+  if (!env.kernels.includes('mod') || !env.kernels.includes('sparsetodense')) return last;
  return new Promise(async (resolve) => {
    const outputSize = [image.shape[2], image.shape[1]];
    const resize = tf.image.resizeBilinear(image, [model.inputSize, model.inputSize], false);
--- a/test/build.log
+++ b/test/build.log
@ -4273,3 +4273,533 @@
 2021-09-12 12:41:42 [35mSTATE:[39m Lint: {"locations":["src/**/*.ts","test/*.js","demo/**/*.js"],"files":76,"errors":0,"warnings":0} 
 2021-09-12 12:41:42 [35mSTATE:[39m ChangeLog: {"repository":"https://github.com/vladmandic/human","branch":"main","output":"CHANGELOG.md"} 
 2021-09-12 12:41:42 [36mINFO: [39m Done... 
+2021-09-12 12:45:17 [36mINFO: [39m @vladmandic/human version 2.2.0 
+2021-09-12 12:45:17 [36mINFO: [39m User: vlado Platform: linux Arch: x64 Node: v16.5.0 
+2021-09-12 12:45:17 [36mINFO: [39m Application: {"name":"@vladmandic/human","version":"2.2.0"} 
+2021-09-12 12:45:17 [36mINFO: [39m Environment: {"profile":"development","config":"build.json","tsconfig":true,"eslintrc":true,"git":true} 
+2021-09-12 12:45:17 [36mINFO: [39m Toolchain: {"build":"0.4.1","esbuild":"0.12.26","typescript":"4.4.3","typedoc":"0.21.9","eslint":"7.32.0"} 
+2021-09-12 12:45:17 [36mINFO: [39m Build: {"profile":"development","steps":["serve","watch","compile"]} 
+2021-09-12 12:45:17 [35mSTATE:[39m WebServer: {"ssl":false,"port":10030,"root":"."} 
+2021-09-12 12:45:17 [35mSTATE:[39m WebServer: {"ssl":true,"port":10031,"root":".","sslKey":"node_modules/@vladmandic/build/cert/https.key","sslCrt":"node_modules/@vladmandic/build/cert/https.crt"} 
+2021-09-12 12:45:17 [35mSTATE:[39m Watch: {"locations":["src/**","src/**","tfjs/*"]} 
+2021-09-12 12:45:17 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/cpu","format":"cjs","platform":"node","input":"tfjs/tf-node.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":102,"outputBytes":1416} 
+2021-09-12 12:45:17 [35mSTATE:[39m Compile: {"name":"human/nodejs/cpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node.js","files":48,"inputBytes":470284,"outputBytes":400816} 
+2021-09-12 12:45:17 [35mSTATE:[39m Compile: {"name":"tfjs/nodejs/gpu","format":"cjs","platform":"node","input":"tfjs/tf-node-gpu.ts","output":"dist/tfjs.esm.js","files":1,"inputBytes":110,"outputBytes":1424} 
+2021-09-12 12:45:17 [35mSTATE:[39m Compile: {"name":"human/nodejs/gpu","format":"cjs","platform":"node","input":"src/human.ts","output":"dist/human.node-gpu.js","files":48,"inputBytes":470292,"outputBytes":400820} 
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+2021-09-12 12:45:18 [36mINFO: [39m Listening... 
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+									<li>Defined in <a href="https://github.com/vladmandic/human/blob/main/src/human.ts#L432">human.ts:432</a></li>
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