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@tensorflow/tfjs-data

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@tensorflow/tfjs-data - npm Package Compare versions

Comparing version 0.2.2 to 0.2.3

1

dist/dataset.d.ts

@@ -9,2 +9,3 @@ import { LazyIterator } from './iterators/lazy_iterator';

filter(predicate: (value: T) => boolean): Dataset<T>;
forEachAsync(f: (input: T) => void): Promise<void>;
forEach(f: (input: T) => void): Promise<void>;

@@ -11,0 +12,0 @@ map<O extends DataElement>(transform: (value: T) => O): Dataset<O>;

@@ -123,3 +123,3 @@ "use strict";

};
Dataset.prototype.forEach = function (f) {
Dataset.prototype.forEachAsync = function (f) {
return __awaiter(this, void 0, void 0, function () {

@@ -129,3 +129,3 @@ return __generator(this, function (_a) {

case 0: return [4, this.iterator()];
case 1: return [2, (_a.sent()).forEach(f)];
case 1: return [2, (_a.sent()).forEachAsync(f)];
}

@@ -135,2 +135,11 @@ });

};
Dataset.prototype.forEach = function (f) {
return __awaiter(this, void 0, void 0, function () {
return __generator(this, function (_a) {
tf.deprecationWarn('dataset.forEach() is deprecated and will be removed. ' +
'Please use dataset.forEachAsync() instead');
return [2, this.forEachAsync(f)];
});
});
};
Dataset.prototype.map = function (transform) {

@@ -137,0 +146,0 @@ var _this = this;

2

dist/iterators/lazy_iterator.d.ts

@@ -22,3 +22,3 @@ import { DataElement, IteratorContainer } from '../types';

flatmap<O>(transform: (value: T) => O[]): LazyIterator<O>;
forEach(f: (value: T) => void): Promise<void>;
forEachAsync(f: (value: T) => void): Promise<void>;
serialForEach(f: (value: T) => Promise<boolean>): Promise<void>;

@@ -25,0 +25,0 @@ rowMajorBatch(batchSize: number, smallLastBatch?: boolean): LazyIterator<T[]>;

@@ -174,3 +174,3 @@ "use strict";

};
LazyIterator.prototype.forEach = function (f) {
LazyIterator.prototype.forEachAsync = function (f) {
return __awaiter(this, void 0, void 0, function () {

@@ -177,0 +177,0 @@ return __generator(this, function (_a) {

@@ -76,3 +76,3 @@ "use strict";

result = {};
return [4, sampleDataset.forEach(function (e) {
return [4, sampleDataset.forEachAsync(function (e) {
for (var _i = 0, _a = Object.keys(e); _i < _a.length; _i++) {

@@ -116,4 +116,4 @@ var key = _a[_i];

var valueMoment = tf.moments(value);
valueMean = valueMoment.mean.get();
valueVariance = valueMoment.variance.get();
valueMean = valueMoment.mean.dataSync()[0];
valueVariance = valueMoment.variance.dataSync()[0];
valueLength = value.size;

@@ -125,4 +125,4 @@ }

var valueMoment = tf.moments(value);
valueMean = valueMoment.mean.get();
valueVariance = valueMoment.variance.get();
valueMean = valueMoment.mean.dataSync()[0];
valueVariance = valueMoment.variance.dataSync()[0];
valueLength = value.length;

@@ -129,0 +129,0 @@ }

@@ -1,2 +0,2 @@

declare const version = "0.2.2";
declare const version = "0.2.3";
export { version };
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var version = '0.2.2';
var version = '0.2.3';
exports.version = version;
//# sourceMappingURL=version.js.map
{
"name": "@tensorflow/tfjs-data",
"version": "0.2.2",
"version": "0.2.3",
"description": "TensorFlow Data API in JavaScript",

@@ -14,3 +14,3 @@ "private": false,

"devDependencies": {
"@tensorflow/tfjs-core": "0.15.2",
"@tensorflow/tfjs-core": "0.15.4",
"@types/fetch-mock": "^6.0.1",

@@ -56,3 +56,3 @@ "@types/jasmine": "~2.5.53",

"peerDependencies": {
"@tensorflow/tfjs-core": "0.15.2"
"@tensorflow/tfjs-core": "0.15.4"
},

@@ -59,0 +59,0 @@ "dependencies": {

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