@tensorflow/tfjs-node - npm Package Compare versions

Comparing version 1.0.3 to 1.1.0

dist/callbacks_test.js

@@ -56,2 +56,3 @@ "use strict";
 var tf = require("@tensorflow/tfjs");
+// tslint:disable-next-line:max-line-length
 var callbacks_1 = require("./callbacks");
@@ -71,2 +72,11 @@ describe('progbarLogger', function () {
     }());
+    var originalStderrColumns;
+    beforeEach(function () {
+        // In some CI environments, process.stderr.columns has a null value.
+        originalStderrColumns = process.stderr.columns;
+        process.stderr.columns = 100;
+    });
+    afterEach(function () {
+        process.stderr.columns = originalStderrColumns;
+    });
     it('Model.fit with loss, no metric, no validation, verobse = 1', function () { return __awaiter(_this, void 0, void 0, function () {
@@ -329,2 +339,30 @@ var fakeProgbars, consoleMessages, model, numSamples, epochs, batchSize, xs, ys, _i, fakeProgbars_1, fakeProgbar, tickConfigs, i;
 });
+describe('getSuccinctNumberDisplay', function () {
+    it('Not finite', function () {
+        expect(callbacks_1.getSuccinctNumberDisplay(Infinity)).toEqual('Infinity');
+        expect(callbacks_1.getSuccinctNumberDisplay(-Infinity)).toEqual('-Infinity');
+        expect(callbacks_1.getSuccinctNumberDisplay(NaN)).toEqual('NaN');
+    });
+    it('zero', function () {
+        expect(callbacks_1.getSuccinctNumberDisplay(0)).toEqual('0.00');
+    });
+    it('Finite and positive', function () {
+        expect(callbacks_1.getSuccinctNumberDisplay(300)).toEqual('300.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(30)).toEqual('30.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(1)).toEqual('1.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(1e-2)).toEqual('0.0100');
+        expect(callbacks_1.getSuccinctNumberDisplay(1e-3)).toEqual('1.00e-3');
+        expect(callbacks_1.getSuccinctNumberDisplay(4e-3)).toEqual('4.00e-3');
+        expect(callbacks_1.getSuccinctNumberDisplay(1e-6)).toEqual('1.00e-6');
+    });
+    it('Finite and negative', function () {
+        expect(callbacks_1.getSuccinctNumberDisplay(-300)).toEqual('-300.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(-30)).toEqual('-30.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(-1)).toEqual('-1.00');
+        expect(callbacks_1.getSuccinctNumberDisplay(-1e-2)).toEqual('-0.0100');
+        expect(callbacks_1.getSuccinctNumberDisplay(-1e-3)).toEqual('-1.00e-3');
+        expect(callbacks_1.getSuccinctNumberDisplay(-4e-3)).toEqual('-4.00e-3');
+        expect(callbacks_1.getSuccinctNumberDisplay(-1e-6)).toEqual('-1.00e-6');
+    });
+});
 describe('getDisplayDecimalPlaces', function () {
@@ -331,0 +369,0 @@ it('Not finite', function () {

dist/callbacks.d.ts

@@ -32,2 +32,4 @@ /**
     private batchesInLatestEpoch;
+    private terminalWidth;
+    private readonly RENDER_THROTTLE_MS;
     /**
@@ -41,2 +43,12 @@ * Construtor of LoggingCallback.
 /**
+ * Get a succint string representation of a number.
+ *
+ * Uses decimal notation if the number isn't too small.
+ * Otherwise, use engineering notation.
+ *
+ * @param x Input number.
+ * @return Succinct string representing `x`.
+ */
+export declare function getSuccinctNumberDisplay(x: number): string;
+/**
  * Determine the number of decimal places to display.
@@ -43,0 +55,0 @@ *

dist/callbacks.js

@@ -113,2 +113,3 @@ "use strict";
                     this.batchesInLatestEpoch = 0;
+                    this.terminalWidth = process.stderr.columns;
                     return [2 /*return*/];
@@ -118,3 +119,3 @@ });
             onBatchEnd: function (batch, logs) { return __awaiter(_this, void 0, void 0, function () {
-                var tickTokens;
+                var maxMetricsStringLength, tickTokens;
                 return __generator(this, function (_a) {
@@ -125,6 +126,12 @@ switch (_a.label) {
                             if (batch === 0) {
-                                this.progressBar = new exports.progressBarHelper.ProgressBar('eta=:eta :bar :placeholderForLossesAndMetrics', { total: this.numTrainBatchesPerEpoch + 1, head: ">" });
+                                this.progressBar = new exports.progressBarHelper.ProgressBar('eta=:eta :bar :placeholderForLossesAndMetrics', {
+                                    width: Math.floor(0.5 * this.terminalWidth),
+                                    total: this.numTrainBatchesPerEpoch + 1,
+                                    head: ">",
+                                    renderThrottle: this.RENDER_THROTTLE_MS
+                                });
                             }
+                            maxMetricsStringLength = Math.floor(this.terminalWidth * 0.5 - 12);
                             tickTokens = {
-                                placeholderForLossesAndMetrics: this.formatLogsAsMetricsContent(logs)
+                                placeholderForLossesAndMetrics: this.formatLogsAsMetricsContent(logs, maxMetricsStringLength)
                             };
@@ -177,5 +184,6 @@ if (this.numTrainBatchesPerEpoch === 0) {
         }) || this;
+        _this.RENDER_THROTTLE_MS = 50;
         return _this;
     }
-    ProgbarLogger.prototype.formatLogsAsMetricsContent = function (logs) {
+    ProgbarLogger.prototype.formatLogsAsMetricsContent = function (logs, maxMetricsLength) {
         var metricsContent = '';
@@ -187,6 +195,10 @@ var keys = Object.keys(logs).sort();
                 var value = logs[key];
-                var decimalPlaces = getDisplayDecimalPlaces(value);
-                metricsContent += key + "=" + value.toFixed(decimalPlaces) + " ";
+                metricsContent += key + "=" + getSuccinctNumberDisplay(value) + " ";
             }
         }
+        if (maxMetricsLength != null && metricsContent.length > maxMetricsLength) {
+            // Cut off metrics strings that are too long to avoid new lines being
+            // constantly created.
+            metricsContent = metricsContent.slice(0, maxMetricsLength - 3) + '...';
+        }
         return metricsContent;
@@ -200,3 +212,20 @@ };
 exports.ProgbarLogger = ProgbarLogger;
+var BASE_NUM_DIGITS = 2;
+var MAX_NUM_DECIMAL_PLACES = 4;
 /**
+ * Get a succint string representation of a number.
+ *
+ * Uses decimal notation if the number isn't too small.
+ * Otherwise, use engineering notation.
+ *
+ * @param x Input number.
+ * @return Succinct string representing `x`.
+ */
+function getSuccinctNumberDisplay(x) {
+    var decimalPlaces = getDisplayDecimalPlaces(x);
+    return decimalPlaces > MAX_NUM_DECIMAL_PLACES ?
+        x.toExponential(BASE_NUM_DIGITS) : x.toFixed(decimalPlaces);
+}
+exports.getSuccinctNumberDisplay = getSuccinctNumberDisplay;
+/**
  * Determine the number of decimal places to display.
@@ -208,3 +237,2 @@ *
 function getDisplayDecimalPlaces(x) {
-    var BASE_NUM_DIGITS = 2;
     if (!Number.isFinite(x) || x === 0 || x > 1 || x < -1) {
@@ -211,0 +239,0 @@ return BASE_NUM_DIGITS;

dist/index.js

@@ -36,3 +36,2 @@ "use strict";
 var nodeIo = require("./io/index");
-var node_http_1 = require("./io/node_http");
 var nodejs_kernel_backend_1 = require("./nodejs_kernel_backend");
@@ -49,8 +48,8 @@ var nodeVersion = require("./version");
 var pjson = require('../package.json');
-tf.ENV.registerBackend('tensorflow', function () {
+tf.registerBackend('tensorflow', function () {
     return new nodejs_kernel_backend_1.NodeJSKernelBackend(bindings('tfjs_binding.node'), pjson.name);
 }, 3 /* priority */);
-// If registration succeeded, set the backend.
-if (tf.ENV.findBackend('tensorflow') != null) {
-    tf.setBackend('tensorflow');
+var success = tf.setBackend('tensorflow');
+if (!success) {
+    throw new Error("Could not initialize TensorFlow backend.");
 }
@@ -60,4 +59,2 @@ // Register the model saving and loading handlers for the 'file://' URL scheme.
 tf.io.registerSaveRouter(file_system_1.nodeFileSystemRouter);
-tf.io.registerLoadRouter(node_http_1.nodeHTTPRequestRouter);
-// TODO(cais): Make HTTP-based save work from Node.js.
 var callbacks_1 = require("./callbacks");
@@ -64,0 +61,0 @@ // Register the ProgbarLogger for Model.fit() at verbosity level 1.

dist/io/node_http_test.js

@@ -55,5 +55,7 @@ "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
+var tfc = require("@tensorflow/tfjs-core");
 var tfl = require("@tensorflow/tfjs-layers");
 var tfn = require("../index");
-var node_http_1 = require("./node_http");
+// We still need node-fetch so that we can mock the core tfc.util.fetch call and
+// return a valid response.
 // tslint:disable-next-line:no-require-imports
@@ -99,4 +101,3 @@ var fetch = require('node-fetch');
     var setupFakeWeightFiles = function (fileBufferMap) {
-        spyOn(node_http_1.fetchWrapper, 'fetch')
-            .and.callFake(function (path, init) {
+        spyOn(tfc.util, 'fetch').and.callFake(function (path, init) {
             return new Promise(function (resolve, reject) {
@@ -103,0 +104,0 @@ var contentType = '';

dist/io/node_http.d.ts

@@ -18,5 +18,2 @@ /**
 import { io } from '@tensorflow/tfjs-core';
-export declare const fetchWrapper: {
-    fetch: any;
-};
 /**
@@ -23,0 +20,0 @@ * Factory function for HTTP IO Handler in Node.js.

dist/io/node_http.js

@@ -20,6 +20,2 @@ "use strict";
 var tfjs_core_1 = require("@tensorflow/tfjs-core");
-// tslint:disable-next-line:no-require-imports
-var fetch = require('node-fetch');
-// For testing: Enables jasmine `spyOn()` with `fetch`.
-exports.fetchWrapper = { fetch: fetch };
 /**
@@ -34,3 +30,3 @@ * Factory function for HTTP IO Handler in Node.js.
 function nodeHTTPRequest(path, requestInit, weightPathPrefix) {
-    return tfjs_core_1.io.browserHTTPRequest(path, { requestInit: requestInit, weightPathPrefix: weightPathPrefix, fetchFunc: exports.fetchWrapper.fetch });
+    return tfjs_core_1.io.browserHTTPRequest(path, { requestInit: requestInit, weightPathPrefix: weightPathPrefix });
 }
@@ -37,0 +33,0 @@ exports.nodeHTTPRequest = nodeHTTPRequest;

dist/nodejs_kernel_backend_test.js

@@ -54,3 +54,3 @@ "use strict";
         // installed.
-        if (tf.ENV.backend.isGPUPackage) {
+        if (tf.backend().isGPUPackage) {
             var input = tf.ones([1, 2, 2, 2, 1]);
@@ -57,0 +57,0 @@ var filter = tf.ones([1, 1, 1, 1, 1]);

dist/nodejs_kernel_backend.d.ts

@@ -33,3 +33,3 @@ /**
     private executeSingleInput;
-    floatPrecision(): number;
+    floatPrecision(): 16 | 32;
     /**
@@ -36,0 +36,0 @@ * Executes a TensorFlow Eager Op that provides one output Tensor.

dist/ops/op_utils.js

@@ -25,3 +25,3 @@ "use strict";
     if (gBackend === null) {
-        gBackend = tfc.ENV.findBackend('tensorflow');
+        gBackend = tfc.findBackend('tensorflow');
     }
@@ -28,0 +28,0 @@ return gBackend;

dist/run_tests.js

@@ -30,3 +30,3 @@ "use strict";
 });
-jasmine_util.setTestEnvs([{ name: 'test-tensorflow', factory: function () { return op_utils_1.nodeBackend(); }, features: {} }]);
+jasmine_util.setTestEnvs([{ name: 'test-tensorflow', backendName: 'tensorflow', flags: {} }]);
 var IGNORE_LIST = [
@@ -33,0 +33,0 @@ // Always ignore version tests:

dist/version.d.ts

 /** @license See the LICENSE file. */
-declare const version = "1.0.3";
+declare const version = "1.1.0";
 export { version };

dist/version.js

@@ -5,3 +5,3 @@ "use strict";
 // This code is auto-generated, do not modify this file!
-var version = '1.0.3';
+var version = '1.1.0';
 exports.version = version;

package.json

 {
   "name": "@tensorflow/tfjs-node",
-  "version": "1.0.3",
+  "version": "1.1.0",
   "main": "dist/index.js",
@@ -26,3 +26,5 @@ "types": "dist/index.d.ts",
     "publish-local": "yarn prep && yalc push",
-    "test": "ts-node src/run_tests.ts"
+    "test": "ts-node src/run_tests.ts",
+    "test-ci": "./scripts/test-ci.sh",
+    "test-ts-integration": "./scripts/test-ts-integration.sh"
   },
@@ -37,2 +39,3 @@ "devDependencies": {
     "jasmine": "~3.1.0",
+    "node-fetch": "^2.3.0",
     "nyc": "^13.3.0",
@@ -47,7 +50,6 @@ "shelljs": "^0.8.3",
   "dependencies": {
-    "@tensorflow/tfjs": "~1.0.3",
+    "@tensorflow/tfjs": "~1.1.0",
     "adm-zip": "^0.4.11",
     "bindings": "~1.3.0",
     "https-proxy-agent": "^2.2.1",
-    "node-fetch": "^2.3.0",
     "progress": "^2.0.0",
@@ -54,0 +56,0 @@ "rimraf": "^2.6.2",

README.md

@@ -1,5 +0,1 @@
-<a id="travis-badge" href="https://travis-ci.org/tensorflow/tfjs-node" alt="Build Status">
-  <img src="https://travis-ci.org/tensorflow/tfjs-node.svg?branch=master" />
-</a>
-
 # TensorFlow backend for TensorFlow.js via Node.js
@@ -6,0 +2,0 @@

src/callbacks.ts

@@ -43,2 +43,6 @@ /**
 
+  private terminalWidth: number;
+
+  private readonly RENDER_THROTTLE_MS = 50;
+
   /**
@@ -68,2 +72,3 @@ * Construtor of LoggingCallback.
         this.batchesInLatestEpoch = 0;
+        this.terminalWidth = process.stderr.columns;
       },
@@ -74,7 +79,14 @@ onBatchEnd: async (batch: number, logs?: Logs) => {
           this.progressBar = new progressBarHelper.ProgressBar(
-              'eta=:eta :bar :placeholderForLossesAndMetrics',
-              {total: this.numTrainBatchesPerEpoch + 1, head: `>`});
+              'eta=:eta :bar :placeholderForLossesAndMetrics', {
+                width: Math.floor(0.5 * this.terminalWidth),
+                total: this.numTrainBatchesPerEpoch + 1,
+                head: `>`,
+                renderThrottle: this.RENDER_THROTTLE_MS
+              });
         }
+        const maxMetricsStringLength =
+            Math.floor(this.terminalWidth * 0.5 - 12);
         const tickTokens = {
-          placeholderForLossesAndMetrics: this.formatLogsAsMetricsContent(logs)
+          placeholderForLossesAndMetrics:
+              this.formatLogsAsMetricsContent(logs, maxMetricsStringLength)
         };
@@ -115,3 +127,4 @@ if (this.numTrainBatchesPerEpoch === 0) {
 
-  private formatLogsAsMetricsContent(logs: Logs): string {
+  private formatLogsAsMetricsContent(
+      logs: Logs, maxMetricsLength?: number): string {
     let metricsContent = '';
@@ -122,6 +135,11 @@ const keys = Object.keys(logs).sort();
         const value = logs[key];
-        const decimalPlaces = getDisplayDecimalPlaces(value);
-        metricsContent += `${key}=${value.toFixed(decimalPlaces)} `;
+        metricsContent += `${key}=${getSuccinctNumberDisplay(value)} `;
       }
     }
+
+    if (maxMetricsLength != null && metricsContent.length > maxMetricsLength) {
+      // Cut off metrics strings that are too long to avoid new lines being
+      // constantly created.
+      metricsContent = metricsContent.slice(0, maxMetricsLength - 3) + '...';
+    }
     return metricsContent;
@@ -135,3 +153,21 @@ }
 
+const BASE_NUM_DIGITS = 2;
+const MAX_NUM_DECIMAL_PLACES = 4;
+
 /**
+ * Get a succint string representation of a number.
+ *
+ * Uses decimal notation if the number isn't too small.
+ * Otherwise, use engineering notation.
+ *
+ * @param x Input number.
+ * @return Succinct string representing `x`.
+ */
+export function getSuccinctNumberDisplay(x: number): string {
+  const decimalPlaces = getDisplayDecimalPlaces(x);
+  return decimalPlaces > MAX_NUM_DECIMAL_PLACES ?
+      x.toExponential(BASE_NUM_DIGITS) : x.toFixed(decimalPlaces);
+}
+
+/**
  * Determine the number of decimal places to display.
@@ -143,3 +179,2 @@ *
 export function getDisplayDecimalPlaces(x: number): number {
-  const BASE_NUM_DIGITS = 2;
   if (!Number.isFinite(x) || x === 0 || x > 1 || x < -1) {
@@ -146,0 +181,0 @@ return BASE_NUM_DIGITS;

src/index.ts

@@ -22,3 +22,2 @@ /**
 import * as nodeIo from './io/index';
-import {nodeHTTPRequestRouter} from './io/node_http';
 import {NodeJSKernelBackend} from './nodejs_kernel_backend';
@@ -47,3 +46,3 @@ import * as nodeVersion from './version';
 
-tf.ENV.registerBackend('tensorflow', () => {
+tf.registerBackend('tensorflow', () => {
   return new NodeJSKernelBackend(
@@ -53,5 +52,5 @@ bindings('tfjs_binding.node') as TFJSBinding, pjson.name);
 
-// If registration succeeded, set the backend.
-if (tf.ENV.findBackend('tensorflow') != null) {
-  tf.setBackend('tensorflow');
+const success = tf.setBackend('tensorflow');
+if (!success) {
+  throw new Error(`Could not initialize TensorFlow backend.`);
 }
@@ -62,4 +61,2 @@
 tf.io.registerSaveRouter(nodeFileSystemRouter);
-tf.io.registerLoadRouter(nodeHTTPRequestRouter);
-// TODO(cais): Make HTTP-based save work from Node.js.
 
@@ -66,0 +63,0 @@ import {ProgbarLogger} from './callbacks';

src/io/node_http.ts

@@ -20,8 +20,2 @@ /**
 
-// tslint:disable-next-line:no-require-imports
-const fetch = require('node-fetch');
-
-// For testing: Enables jasmine `spyOn()` with `fetch`.
-export const fetchWrapper = {fetch};
-
 /**
@@ -38,5 +32,3 @@ * Factory function for HTTP IO Handler in Node.js.
     weightPathPrefix?: string): io.IOHandler {
-  return io.browserHTTPRequest(
-      path as string,
-      {requestInit, weightPathPrefix, fetchFunc: fetchWrapper.fetch});
+  return io.browserHTTPRequest(path as string, {requestInit, weightPathPrefix});
 }
@@ -43,0 +35,0 @@

src/nodejs_kernel_backend.ts

@@ -156,3 +156,3 @@ /**
 
-  floatPrecision(): number {
+  floatPrecision(): 16|32 {
     return 32;
@@ -159,0 +159,0 @@ }

src/ops/op_utils.ts

@@ -29,3 +29,3 @@ /**
   if (gBackend === null) {
-    gBackend = (tfc.ENV.findBackend('tensorflow') as NodeJSKernelBackend);
+    gBackend = (tfc.findBackend('tensorflow') as NodeJSKernelBackend);
   }
@@ -32,0 +32,0 @@ return gBackend;

src/run_tests.ts

@@ -34,3 +34,3 @@ /**
 jasmine_util.setTestEnvs(
-    [{name: 'test-tensorflow', factory: () => nodeBackend(), features: {}}]);
+    [{name: 'test-tensorflow', backendName: 'tensorflow', flags: {}}]);
 
@@ -37,0 +37,0 @@ const IGNORE_LIST: string[] = [

src/version.ts

 /** @license See the LICENSE file. */
 
 // This code is auto-generated, do not modify this file!
-const version = '1.0.3';
+const version = '1.1.0';
 export {version};

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Improved metrics

Total package byte prevSize

1145731

increased by0.39%

Dependency count

7

decreased by-12.5%

Lines of code

8890

increased by1.02%

Number of medium supply chain risk alerts

5

decreased by-16.67%

Worsened metrics

Dev dependency count

15

increased by7.14%

Number of package files

115

decreased by-0.86%

Number of lines in readme file

89

decreased by-4.3%

Dependency changes

• + Added@rollup/rollup-android-arm-eabi@4.28.1(transitive)

• + Added@rollup/rollup-android-arm64@4.28.1(transitive)

• + Added@rollup/rollup-darwin-arm64@4.28.1(transitive)

• + Added@rollup/rollup-darwin-x64@4.28.1(transitive)

• + Added@rollup/rollup-freebsd-arm64@4.28.1(transitive)

• + Added@rollup/rollup-freebsd-x64@4.28.1(transitive)

• + Added@rollup/rollup-linux-arm-gnueabihf@4.28.1(transitive)

• + Added@rollup/rollup-linux-arm-musleabihf@4.28.1(transitive)

• + Added@rollup/rollup-linux-arm64-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-arm64-musl@4.28.1(transitive)

• + Added@rollup/rollup-linux-loongarch64-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-powerpc64le-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-riscv64-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-s390x-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-x64-gnu@4.28.1(transitive)

• + Added@rollup/rollup-linux-x64-musl@4.28.1(transitive)

• + Added@rollup/rollup-win32-arm64-msvc@4.28.1(transitive)

• + Added@rollup/rollup-win32-ia32-msvc@4.28.1(transitive)

• + Added@rollup/rollup-win32-x64-msvc@4.28.1(transitive)

• + Added@tensorflow/tfjs@1.1.2(transitive)

• + Added@tensorflow/tfjs-converter@1.1.2(transitive)

• + Added@tensorflow/tfjs-core@1.1.2(transitive)

• + Added@tensorflow/tfjs-data@1.1.2(transitive)

• + Added@tensorflow/tfjs-layers@1.1.2(transitive)

• + Added@types/estree@1.0.6(transitive)

• + Addedfsevents@2.3.3(transitive)

• + Addedis-wsl@1.1.0(transitive)

• + Addedopn@5.5.0(transitive)

• + Addedrollup@4.28.1(transitive)

• + Addedrollup-plugin-visualizer@1.1.1(transitive)

• + Addedsource-map@0.7.4(transitive)

• + Addedtypeface-oswald@0.0.54(transitive)

• - Removednode-fetch@^2.3.0

• - Removed@tensorflow/tfjs@1.0.4(transitive)

• - Removed@tensorflow/tfjs-converter@1.0.4(transitive)

• - Removed@tensorflow/tfjs-core@1.0.4(transitive)

• - Removed@tensorflow/tfjs-data@1.0.4(transitive)

• - Removed@tensorflow/tfjs-layers@1.0.4(transitive)

• - Removednode-fetch@2.7.0(transitive)

• - Removedtr46@0.0.3(transitive)

• - Removedwebidl-conversions@3.0.1(transitive)

• - Removedwhatwg-url@5.0.0(transitive)

• Updated@tensorflow/tfjs@~1.1.0