@tensorflow/tfjs-layers - npm Package Compare versions

Comparing version 0.7.3 to 0.7.4

dist/engine/training.d.ts

@@ -75,3 +75,4 @@ import * as tfc from '@tensorflow/tfjs-core';
     history: History;
-    stopTraining: boolean;
+    private stopTraining_;
+    private isTraining;
     metrics: string[] | {
@@ -108,3 +109,4 @@ [outputName: string]: string;
     protected getNamedWeights(config?: io.SaveConfig): NamedTensorMap;
+    stopTraining: boolean;
     save(handlerOrURL: io.IOHandler | string, config?: io.SaveConfig): Promise<io.SaveResult>;
 }

dist/engine/training.js

@@ -349,3 +349,5 @@ "use strict";
     function Model(config) {
-        return _super.call(this, config) || this;
+        var _this = _super.call(this, config) || this;
+        _this.isTraining = false;
+        return _this;
     }
@@ -780,3 +782,3 @@ Model.prototype.summary = function (lineLength, positions, printFn) {
                         _a.sent();
-                        this.stopTraining = false;
+                        this.stopTraining_ = false;
                         _loop_4 = function (epoch) {
@@ -840,3 +842,3 @@ var epochLogs, epochIndexArray1D_1, batches_1, _loop_5, batchIndex, state_3;
                                                         logs_1.disposeTensorsInLogs(batchLogs);
-                                                        if (this_1.stopTraining) {
+                                                        if (this_1.stopTraining_) {
                                                             return [2, "break"];
@@ -867,3 +869,3 @@ }
                                         _a.sent();
-                                        if (this_1.stopTraining) {
+                                        if (this_1.stopTraining_) {
                                             return [2, "break"];
@@ -996,2 +998,6 @@ }
                     case 0:
+                        if (this.isTraining) {
+                            throw new Error('Cannot start training because another fit() call is ongoing.');
+                        }
+                        this.isTraining = true;
                         batchSize = config.batchSize == null ? 32 : config.batchSize;
@@ -1105,2 +1111,3 @@ standardizedOuts = this.standardizeUserData(x, y, false, batchSize);
                         }
+                        this.isTraining = false;
                         return [2, out];
@@ -1124,2 +1131,9 @@ }
     };
+    Object.defineProperty(Model.prototype, "stopTraining", {
+        set: function (stop) {
+            this.stopTraining_ = stop;
+        },
+        enumerable: true,
+        configurable: true
+    });
     Model.prototype.save = function (handlerOrURL, config) {
@@ -1126,0 +1140,0 @@ return __awaiter(this, void 0, void 0, function () {

dist/models.d.ts

@@ -46,3 +46,4 @@ import { io, Scalar, serialization, Tensor } from '@tensorflow/tfjs-core';
     static fromConfig<T extends serialization.Serializable>(cls: serialization.SerializableConstructor<T>, config: serialization.ConfigDict): T;
+    stopTraining: boolean;
     getConfig(): any;
 }

dist/models.js

@@ -383,2 +383,9 @@ "use strict";
     };
+    Object.defineProperty(Sequential.prototype, "stopTraining", {
+        set: function (stop) {
+            this.model.stopTraining = stop;
+        },
+        enumerable: true,
+        configurable: true
+    });
     Sequential.prototype.getConfig = function () {
@@ -385,0 +392,0 @@ var config = [];

dist/variables.js

@@ -32,5 +32,7 @@ "use strict";
         checkShapesMatch(this.val, newVal);
-        this.val.assign(newVal);
-        if (this.constraint != null) {
-            this.val.assign(this.constraint.apply(this.val));
+        if (this.val.id !== newVal.id) {
+            this.val.assign(newVal);
+            if (this.constraint != null) {
+                this.val.assign(this.constraint.apply(this.val));
+            }
         }
@@ -37,0 +39,0 @@ return this;

dist/version.d.ts

@@ -1,2 +0,2 @@
-declare const version = "0.7.3";
+declare const version = "0.7.4";
 export { version };

dist/version.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-var version = '0.7.3';
+var version = '0.7.4';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow/tfjs-layers",
-  "version": "0.7.3",
+  "version": "0.7.4",
   "description": "TensorFlow layers API in JavaScript",
@@ -13,3 +13,3 @@ "private": false,
   "devDependencies": {
-    "@tensorflow/tfjs-core": "~0.12.10",
+    "@tensorflow/tfjs-core": "~0.12.11",
     "@types/jasmine": "~2.5.53",
@@ -49,4 +49,4 @@ "clang-format": "~1.2.2",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "~0.12.10"
+    "@tensorflow/tfjs-core": "~0.12.11"
   }
 }

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Improved metrics

Total package byte prevSize

5506823

increased by0.29%

Lines of code

26657

increased by0.2%

No dependency changes