update tfjs

CHANGELOG.md

@@ -9,8 +9,12 @@
   
 ## Changelog
   
-### **HEAD -> master** 2021/12/06 mandic00@live.com
+### **1.6.1** 2021/12/09 mandic00@live.com
 
+
+### **origin/master** 2021/12/06 mandic00@live.com
+
+- rebuild
 - release preview
 - switch to custom tfjs and new typedefs
 - rebuild

dist/face-api.esm-nobundle.js

@@ -41,14 +41,14 @@ __reExport(tfjs_esm_exports, dist_star3);
 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 = "3.11.0";
-var version2 = "3.11.0";
-var version3 = "3.11.0";
-var version4 = "3.11.0";
-var version5 = "3.11.0";
-var version6 = "3.11.0";
-var version7 = "3.11.0";
-var version8 = "3.11.0";
+var version = "3.12.0";
+var version2 = "3.12.0";
+var version3 = "3.12.0";
+var version4 = "3.12.0";
+var version5 = "3.12.0";
+var version6 = "3.12.0";
+var version7 = "3.12.0";
+var version8 = "3.12.0";
 var version9 = {
   tfjs: version,
   "tfjs-core": version2,
@@ -2135,7 +2135,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version10 = "1.6.0";
+var version10 = "1.6.1";
 
 // src/xception/extractParams.ts
 function extractorsFactory2(extractWeights, paramMappings) {

dist/face-api.node-gpu.js

@@ -2290,7 +2290,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version = "1.6.0";
+var version = "1.6.1";
 
 // src/ageGenderNet/AgeGenderNet.ts
 var tf20 = __toModule(require_tfjs_esm());

dist/face-api.node.js

@@ -2290,7 +2290,7 @@ function drawFaceLandmarks(canvasArg, faceLandmarks) {
 }
 
 // package.json
-var version = "1.6.0";
+var version = "1.6.1";
 
 // src/ageGenderNet/AgeGenderNet.ts
 var tf20 = __toModule(require_tfjs_esm());

dist/tfjs.version.js

@@ -4,29 +4,29 @@
   author: <https://github.com/vladmandic>'
 */
 
-// node_modules/.pnpm/@tensorflow+tfjs@3.11.0_seedrandom@3.0.5/node_modules/@tensorflow/tfjs/package.json
-var version = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs@3.12.0_seedrandom@3.0.5/node_modules/@tensorflow/tfjs/package.json
+var version = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-core/package.json
-var version2 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-core/package.json
+var version2 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-data@3.11.0_2dca7bfa89cdf1cf84f1d425f79b1e35/node_modules/@tensorflow/tfjs-data/package.json
-var version3 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-data@3.12.0_23101d5e73420f02a83504fb6376a2a9/node_modules/@tensorflow/tfjs-data/package.json
+var version3 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-layers@3.11.0_@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-layers/package.json
-var version4 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-layers@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-layers/package.json
+var version4 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-converter@3.11.0_@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-converter/package.json
-var version5 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-converter@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-converter/package.json
+var version5 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@3.11.0_@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json
-var version6 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-backend-cpu@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-cpu/package.json
+var version6 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@3.11.0_@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json
-var version7 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-backend-webgl@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-webgl/package.json
+var version7 = "3.12.0";
 
-// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@3.11.0_@tensorflow+tfjs-core@3.11.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json
-var version8 = "3.11.0";
+// node_modules/.pnpm/@tensorflow+tfjs-backend-wasm@3.12.0_@tensorflow+tfjs-core@3.12.0/node_modules/@tensorflow/tfjs-backend-wasm/package.json
+var version8 = "3.12.0";
 
 // src/tfjs/tf-version.ts
 var version9 = {

types/face-api.d.ts

@@ -211,6 +211,23 @@ declare const cast: typeof cast_;
  */
 declare function cast_<T extends Tensor>(x: T | TensorLike, dtype: DataType): T;
 
+/**
+ * Check validity of pad when using dimRoundingMode.
+ * @param opDesc A string of op description
+ * @param pad The type of padding algorithm.
+ *   - `same` and stride 1: output will be of same size as input,
+ *       regardless of filter size.
+ *   - `valid` output will be smaller than input if filter is larger
+ *       than 1x1.
+ *   - For more info, see this guide:
+ *     [https://www.tensorflow.org/api_docs/python/tf/nn/convolution](
+ *          https://www.tensorflow.org/api_docs/python/tf/nn/convolution)
+ * @param dimRoundingMode A string from: 'ceil', 'round', 'floor'. If none is
+ *     provided, it will default to truncate.
+ * @throws unknown padding parameter
+ */
+declare function checkPadOnDimRoundingMode(opDesc: string, pad: 'valid' | 'same' | number | ExplicitPadding, dimRoundingMode?: 'floor' | 'round' | 'ceil'): void;
+
 declare const clipByValue: typeof clipByValue_;
 
 /**
@@ -466,6 +483,7 @@ declare namespace conv_util {
         tupleValuesAreOne,
         eitherStridesOrDilationsAreOne,
         convertConv2DDataFormat,
+        checkPadOnDimRoundingMode,
         ExplicitPadding,
         PadInfo,
         PadInfo3D,
@@ -608,7 +626,7 @@ declare const depthwiseConv2d: typeof depthwiseConv2d_;
  *
  * @doc {heading: 'Operations', subheading: 'Convolution'}
  */
-declare function depthwiseConv2d_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, filter: Tensor4D | TensorLike, strides: [number, number] | number, pad: 'valid' | 'same' | number | ExplicitPadding, dataFormat?: 'NHWC' | 'NCHW', dilations?: [number, number] | number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
+declare function depthwiseConv2d_<T extends Tensor3D | Tensor4D>(x: T | TensorLike, filter: Tensor4D | TensorLike, strides: [number, number] | number, pad: 'valid' | 'same' | number | conv_util.ExplicitPadding, dataFormat?: 'NHWC' | 'NCHW', dilations?: [number, number] | number, dimRoundingMode?: 'floor' | 'round' | 'ceil'): T;
 
 export declare class DetectAllFaceLandmarksTask<TSource extends WithFaceDetection<{}>> extends DetectFaceLandmarksTaskBase<WithFaceLandmarks<TSource>[], TSource[]> {
     run(): Promise<WithFaceLandmarks<TSource>[]>;