@tensorflow/tfjs-layers - npm Package Compare versions

Comparing version 0.0.7 to 0.1.0

dist/exports.d.ts

@@ -36,8 +36,8 @@ import { Constraint, MaxNormConfig, MinMaxNormConfig, UnitNormConfig } from './constraints';
     static embedding(config: EmbeddingLayerConfig): Layer;
-    static add(config: LayerConfig): Layer;
-    static average(config: LayerConfig): Layer;
+    static add(config?: LayerConfig): Layer;
+    static average(config?: LayerConfig): Layer;
     static concatenate(config: ConcatenateLayerConfig): Layer;
-    static maximum(config: LayerConfig): Layer;
-    static minimum(config: LayerConfig): Layer;
-    static multiply(config: LayerConfig): Layer;
+    static maximum(config?: LayerConfig): Layer;
+    static minimum(config?: LayerConfig): Layer;
+    static multiply(config?: LayerConfig): Layer;
     static batchNormalization(config: BatchNormalizationLayerConfig): Layer;
@@ -44,0 +44,0 @@ static avgPooling1d(config: Pooling1DLayerConfig): Layer;

dist/layers/merge.d.ts

 import { Tensor } from '@tensorflow/tfjs-core';
 import { Layer, LayerConfig } from '../engine/topology';
-import { Shape } from '../types';
+import { Shape, SymbolicTensor } from '../types';
 export declare class Merge extends Layer {
@@ -17,2 +17,3 @@ protected reshapeRequired: boolean;
 }
+export declare function add(config?: SymbolicTensor[] | Tensor[] | LayerConfig): Layer | SymbolicTensor | Tensor;
 export declare class Multiply extends Merge {
@@ -22,2 +23,3 @@ constructor(config?: LayerConfig);
 }
+export declare function multiply(config?: SymbolicTensor[] | Tensor[] | LayerConfig): Layer | SymbolicTensor | Tensor;
 export declare class Average extends Merge {
@@ -27,2 +29,3 @@ constructor(config?: LayerConfig);
 }
+export declare function average(config?: SymbolicTensor[] | Tensor[] | LayerConfig): Layer | SymbolicTensor | Tensor;
 export declare class Maximum extends Merge {
@@ -32,2 +35,3 @@ constructor(config?: LayerConfig);
 }
+export declare function maximum(config?: SymbolicTensor[] | Tensor[] | LayerConfig): Layer | SymbolicTensor | Tensor;
 export declare class Minimum extends Merge {
@@ -37,2 +41,3 @@ constructor(config?: LayerConfig);
 }
+export declare function minimum(config?: SymbolicTensor[] | Tensor[] | LayerConfig): Layer | SymbolicTensor | Tensor;
 export interface ConcatenateLayerConfig extends LayerConfig {
@@ -44,3 +49,3 @@ axis?: number;
     private readonly axis;
-    constructor(config: ConcatenateLayerConfig);
+    constructor(config?: ConcatenateLayerConfig);
     build(inputShape: Shape | Shape[]): void;
@@ -50,1 +55,2 @@ protected mergeFunction(inputs: Tensor[]): Tensor;
 }
+export declare function concatenate(config?: SymbolicTensor[] | Tensor[] | ConcatenateLayerConfig): Layer | SymbolicTensor | Tensor;

dist/layers/merge.js

@@ -208,2 +208,12 @@ "use strict";
 generic_utils.ClassNameMap.register('Add', Add);
+function add(config) {
+    if (Array.isArray(config)) {
+        var layer = new Add({});
+        return layer.apply(config);
+    }
+    else {
+        return new Add(config);
+    }
+}
+exports.add = add;
 var Multiply = (function (_super) {
@@ -226,2 +236,12 @@ __extends(Multiply, _super);
 generic_utils.ClassNameMap.register('Multiply', Multiply);
+function multiply(config) {
+    if (Array.isArray(config)) {
+        var layer = new Multiply({});
+        return layer.apply(config);
+    }
+    else {
+        return new Multiply(config);
+    }
+}
+exports.multiply = multiply;
 var Average = (function (_super) {
@@ -244,2 +264,12 @@ __extends(Average, _super);
 generic_utils.ClassNameMap.register('Average', Average);
+function average(config) {
+    if (Array.isArray(config)) {
+        var layer = new Average({});
+        return layer.apply(config);
+    }
+    else {
+        return new Average(config);
+    }
+}
+exports.average = average;
 var Maximum = (function (_super) {
@@ -251,6 +281,5 @@ __extends(Maximum, _super);
     Maximum.prototype.mergeFunction = function (inputs) {
-        var output = K.zeros(inputs[0].shape);
-        for (var _i = 0, inputs_6 = inputs; _i < inputs_6.length; _i++) {
-            var input = inputs_6[_i];
-            output = K.maximum(output, input);
+        var output = inputs[0];
+        for (var i = 1; i < inputs.length; ++i) {
+            output = K.maximum(output, inputs[i]);
         }
@@ -263,2 +292,12 @@ return output;
 generic_utils.ClassNameMap.register('Maximum', Maximum);
+function maximum(config) {
+    if (Array.isArray(config)) {
+        var layer = new Maximum({});
+        return layer.apply(config);
+    }
+    else {
+        return new Maximum(config);
+    }
+}
+exports.maximum = maximum;
 var Minimum = (function (_super) {
@@ -270,6 +309,5 @@ __extends(Minimum, _super);
     Minimum.prototype.mergeFunction = function (inputs) {
-        var output = K.zeros(inputs[0].shape);
-        for (var _i = 0, inputs_7 = inputs; _i < inputs_7.length; _i++) {
-            var input = inputs_7[_i];
-            output = K.minimum(output, input);
+        var output = inputs[0];
+        for (var i = 1; i < inputs.length; ++i) {
+            output = K.minimum(output, inputs[i]);
         }
@@ -282,2 +320,12 @@ return output;
 generic_utils.ClassNameMap.register('Minimum', Minimum);
+function minimum(config) {
+    if (Array.isArray(config)) {
+        var layer = new Minimum({});
+        return layer.apply(config);
+    }
+    else {
+        return new Minimum(config);
+    }
+}
+exports.minimum = minimum;
 var Concatenate = (function (_super) {
@@ -288,2 +336,5 @@ __extends(Concatenate, _super);
         _this.DEFAULT_AXIS = -1;
+        if (config == null) {
+            config = {};
+        }
         _this.axis = config.axis == null ? _this.DEFAULT_AXIS : config.axis;
@@ -358,1 +409,11 @@ _this.supportsMasking = true;
 generic_utils.ClassNameMap.register('Concatenate', Concatenate);
+function concatenate(config) {
+    if (Array.isArray(config)) {
+        var layer = new Concatenate({});
+        return layer.apply(config);
+    }
+    else {
+        return new Concatenate(config);
+    }
+}
+exports.concatenate = concatenate;

dist/version.d.ts

@@ -1,2 +0,2 @@
-declare const version = "0.0.7";
+declare const version = "0.1.0";
 export { version };

dist/version.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-var version = '0.0.7';
+var version = '0.1.0';
 exports.version = version;

package.json

 {
   "name": "@tensorflow/tfjs-layers",
-  "version": "0.0.7",
+  "version": "0.1.0",
   "description": "TensorFlow layers API in JavaScript",
@@ -9,3 +9,3 @@ "private": false,
   "devDependencies": {
-    "@tensorflow/tfjs-core": "0.0.2",
+    "@tensorflow/tfjs-core": "0.6.0-alpha7",
     "@types/jasmine": "~2.5.53",
@@ -45,4 +45,4 @@ "@types/underscore": "^1.8.7",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "0.0.2"
+    "@tensorflow/tfjs-core": "0.6.0-alpha7"
   }
 }

README.md

@@ -53,3 +53,3 @@ # TensorFlow.js Layers: High-Level Machine Learning Model API
 // Train the model.
-await model.fit(xs, ys, {epochs: 50});
+await model.fit(xs, ys, {epochs: 500});
 
@@ -56,0 +56,0 @@ // Ater the training, perform inference.

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Improved metrics

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17

decreased by-5.56%

Worsened metrics

Total package byte prevSize

2162284

decreased by-5.45%

Lines of code

37185

decreased by-4.81%

No dependency changes