minor webgl precision fixes + dispose webgl backends in between test suites to…

test/tests/dom/extractFaceTensors.test.ts

 import { createCanvasFromMedia, extractFaceTensors, Rect, tf } from '../../../src';
 import { loadImage } from '../../env';
+import { describeWithBackend } from '../../utils';
 
-describe('extractFaceTensors', () => {
+describeWithBackend('extractFaceTensors', () => {
 
   let imgTensor: tf.Tensor3D
 

test/tests/faceExpressionNet/faceExpressionNet.test.ts

@@ -3,9 +3,9 @@ import * as tf from '@tensorflow/tfjs-core';
 import { createCanvasFromMedia, NetInput, toNetInput } from '../../../src';
 import { FaceExpressionPrediction } from '../../../src/faceExpressionNet/types';
 import { loadImage } from '../../env';
-import { describeWithNets, expectAllTensorsReleased } from '../../utils';
+import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';
 
-describe('faceExpressionNet', () => {
+describeWithBackend('faceExpressionNet', () => {
 
   let imgElAngry: HTMLImageElement
   let imgElSurprised: HTMLImageElement

test/tests/faceLandmarkNet/faceLandmark68Net.test.ts

@@ -2,9 +2,14 @@ import * as tf from '@tensorflow/tfjs-core';
 
 import { createCanvasFromMedia, IDimensions, isTensor3D, NetInput, Point, TMediaElement, toNetInput } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
-import { FaceLandmark68Net } from '../../../src/faceLandmarkNet/FaceLandmark68Net';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectAllTensorsReleased, expectMaxDelta, expectPointClose } from '../../utils';
+import {
+  describeWithBackend,
+  describeWithNets,
+  expectAllTensorsReleased,
+  expectMaxDelta,
+  expectPointClose,
+} from '../../utils';
 
 function getInputDims (input: tf.Tensor | TMediaElement): IDimensions {
   if (input instanceof tf.Tensor) {
@@ -14,7 +19,7 @@ function getInputDims (input: tf.Tensor | TMediaElement): IDimensions {
   return input
 }
 
-describe('faceLandmark68Net', () => {
+describeWithBackend('faceLandmark68Net', () => {
 
   let imgEl1: HTMLImageElement
   let imgEl2: HTMLImageElement
@@ -44,7 +49,7 @@ describe('faceLandmark68Net', () => {
       expect(result.shift.y).toEqual(0)
       result.positions.forEach((pt, i) => {
         const { x, y } = faceLandmarkPositions1[i]
-        expectPointClose(pt, { x, y }, 2)
+        expectPointClose(pt, { x, y }, 3)
       })
     })
 

test/tests/faceLandmarkNet/faceLandmark68Net.uncompressed.test.ts

 import { Point } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectPointClose } from '../../utils';
+import { describeWithBackend, describeWithNets, expectPointClose } from '../../utils';
 
-describe('faceLandmark68Net, uncompressed', () => {
+describeWithBackend('faceLandmark68Net, uncompressed', () => {
 
   let imgEl1: HTMLImageElement
   let imgElRect: HTMLImageElement

test/tests/faceLandmarkNet/faceLandmark68TinyNet.test.ts

@@ -3,7 +3,7 @@ import * as tf from '@tensorflow/tfjs-core';
 import { createCanvasFromMedia, IDimensions, isTensor3D, NetInput, Point, TMediaElement, toNetInput } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectAllTensorsReleased, expectPointClose } from '../../utils';
+import { describeWithBackend, describeWithNets, expectAllTensorsReleased, expectPointClose } from '../../utils';
 
 function getInputDims (input: tf.Tensor | TMediaElement): IDimensions {
   if (input instanceof tf.Tensor) {
@@ -13,7 +13,7 @@ function getInputDims (input: tf.Tensor | TMediaElement): IDimensions {
   return input
 }
 
-describe('faceLandmark68TinyNet', () => {
+describeWithBackend('faceLandmark68TinyNet', () => {
 
   let imgEl1: HTMLImageElement
   let imgEl2: HTMLImageElement

test/tests/faceLandmarkNet/faceLandmark68TinyNet.uncompressed.test.ts

 import { Point } from '../../../src';
 import { FaceLandmarks68 } from '../../../src/classes/FaceLandmarks68';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectPointClose } from '../../utils';
+import { describeWithNets, expectPointClose, describeWithBackend } from '../../utils';
 
-describe('faceLandmark68TinyNet, uncompressed', () => {
+describeWithBackend('faceLandmark68TinyNet, uncompressed', () => {
 
   let imgEl1: HTMLImageElement
   let imgElRect: HTMLImageElement

test/tests/faceRecognitionNet/faceRecognitionNet.test.ts

@@ -3,9 +3,9 @@ import * as tf from '@tensorflow/tfjs-core';
 import { createCanvasFromMedia, NetInput, toNetInput } from '../../../src';
 import { euclideanDistance } from '../../../src/euclideanDistance';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets, expectAllTensorsReleased } from '../../utils';
+import { describeWithBackend, describeWithNets, expectAllTensorsReleased } from '../../utils';
 
-describe('faceRecognitionNet', () => {
+describeWithBackend('faceRecognitionNet', () => {
 
   let imgEl1: HTMLCanvasElement
   let imgEl2: HTMLCanvasElement

test/tests/faceRecognitionNet/faceRecognitionNet.uncompressed.test.ts

 import { createCanvasFromMedia } from '../../../src';
 import { euclideanDistance } from '../../../src/euclideanDistance';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 
-describe('faceRecognitionNet, uncompressed', () => {
+describeWithBackend('faceRecognitionNet, uncompressed', () => {
 
   let imgEl1: HTMLCanvasElement
   let imgElRect: HTMLCanvasElement

test/tests/mtcnn/mtcnn.forward.test.ts

 import { IPoint } from '../../../src';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectMtcnnResults } from './expectMtcnnResults';
 
-describe('mtcnn.forward', () => {
+describeWithBackend('mtcnn.forward', () => {
 
   let imgEl: HTMLImageElement
   let expectedMtcnnLandmarks: IPoint[][]

test/tests/mtcnn/mtcnn.forward.uncompressed.test.ts

 import { IPoint } from '../../../src';
 import { loadImage, loadJson } from '../../env';
-import { describeWithNets } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectMtcnnResults } from './expectMtcnnResults';
 
-describe('mtcnn.forward', () => {
+describeWithBackend('mtcnn.forward', () => {
 
   let imgEl: HTMLImageElement
   let expectedMtcnnLandmarks: IPoint[][]

test/tests/mtcnn/mtcnn.test.ts

@@ -6,13 +6,14 @@ import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWit
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import {
   assembleExpectedFullFaceDescriptions,
+  describeWithBackend,
   describeWithNets,
   expectAllTensorsReleased,
   ExpectedFullFaceDescription,
 } from '../../utils';
 import { expectedMtcnnBoxes } from './expectMtcnnResults';
 
-describe('mtcnn', () => {
+describeWithBackend('mtcnn', () => {
 
   let imgEl: HTMLImageElement
   let expectedFullFaceDescriptions: ExpectedFullFaceDescription[]

test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.test.ts

 import * as faceapi from '../../../src';
 import { loadImage } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
-import { describeWithNets, expectAllTensorsReleased } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectedSsdBoxes } from './expectedBoxes';
 
-describe('ssdMobilenetv1.locateFaces', () => {
+describeWithBackend('ssdMobilenetv1.locateFaces', () => {
 
   let imgEl: HTMLImageElement
 

test/tests/ssdMobilenetv1/ssdMobilenetv1.locateFaces.uncompressed.test.ts

 import * as faceapi from '../../../src';
 import { loadImage } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
-import { describeWithNets, expectAllTensorsReleased } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectedSsdBoxes } from './expectedBoxes';
 
-describe('ssdMobilenetv1.locateFaces, uncompressed', () => {
+describeWithBackend('ssdMobilenetv1.locateFaces, uncompressed', () => {
 
   let imgEl: HTMLImageElement
 

test/tests/ssdMobilenetv1/ssdMobilenetv1.test.ts

 import * as faceapi from '../../../src';
-import { describeWithNets, expectAllTensorsReleased, assembleExpectedFullFaceDescriptions, ExpectedFullFaceDescription } from '../../utils';
-import { fetchImage, SsdMobilenetv1Options } from '../../../src';
+import { describeWithNets, expectAllTensorsReleased, assembleExpectedFullFaceDescriptions, ExpectedFullFaceDescription, describeWithBackend } from '../../utils';
+import { SsdMobilenetv1Options } from '../../../src';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
 import { expectFaceDetectionsWithLandmarks } from '../../expectFaceDetectionsWithLandmarks';
 import { expectedSsdBoxes } from './expectedBoxes';
 import { loadImage } from '../../env';
 
-describe('ssdMobilenetv1', () => {
+describeWithBackend('ssdMobilenetv1', () => {
 
   let imgEl: HTMLImageElement
   let expectedFullFaceDescriptions: ExpectedFullFaceDescription[]
@@ -45,7 +45,7 @@ describe('ssdMobilenetv1', () => {
       const deltas = {
         maxScoreDelta: 0.05,
         maxBoxDelta: 5,
-        maxLandmarksDelta: 2
+        maxLandmarksDelta: 3
       }
       expect(results.length).toEqual(6)
       expectFaceDetectionsWithLandmarks(results, expectedFullFaceDescriptions, expectedScores, deltas)
@@ -64,7 +64,7 @@ describe('ssdMobilenetv1', () => {
       const deltas = {
         maxScoreDelta: 0.05,
         maxBoxDelta: 5,
-        maxLandmarksDelta: 2,
+        maxLandmarksDelta: 3,
         maxDescriptorDelta: 0.2
       }
       expect(results.length).toEqual(6)
@@ -84,7 +84,7 @@ describe('ssdMobilenetv1', () => {
       const deltas = {
         maxScoreDelta: 0.05,
         maxBoxDelta: 5,
-        maxLandmarksDelta: 2,
+        maxLandmarksDelta: 3,
         maxDescriptorDelta: 0.2
       }
 

test/tests/tinyFaceDetector/tinyFaceDetector.locateFaces.test.ts

 import * as faceapi from '../../../src';
 import { loadImage } from '../../env';
 import { expectFaceDetections } from '../../expectFaceDetections';
-import { describeWithNets, expectAllTensorsReleased } from '../../utils';
+import { describeWithBackend, describeWithNets } from '../../utils';
 import { expectedTinyFaceDetectorBoxes } from './expectedBoxes';
 
-describe('tinyFaceDetector.locateFaces', () => {
+describeWithBackend('tinyFaceDetector.locateFaces', () => {
 
   let imgEl: HTMLImageElement
 

test/tests/tinyFaceDetector/tinyFaceDetector.test.ts

 import * as faceapi from '../../../src';
-import { describeWithNets, expectAllTensorsReleased, assembleExpectedFullFaceDescriptions, ExpectedFullFaceDescription } from '../../utils';
+import { describeWithNets, expectAllTensorsReleased, assembleExpectedFullFaceDescriptions, ExpectedFullFaceDescription, describeWithBackend } from '../../utils';
 import { TinyFaceDetectorOptions } from '../../../src';
 import { expectFaceDetections } from '../../expectFaceDetections';
 import { expectFullFaceDescriptions } from '../../expectFullFaceDescriptions';
@@ -24,7 +24,7 @@ function expectFaceExpressions(results: WithFaceExpressions<{}>[]) {
   })
 }
 
-describe('tinyFaceDetector', () => {
+describeWithBackend('tinyFaceDetector', () => {
 
   let imgEl: HTMLImageElement
   let expectedFullFaceDescriptions: ExpectedFullFaceDescription[]

test/utils.ts

@@ -132,6 +132,35 @@ export type DescribeWithNetsOptions = {
   withTinyYolov2?: WithTinyYolov2Options
 }
 
+const gpgpu = tf.ENV.backend['gpgpu']
+
+export function describeWithBackend(description: string, specDefinitions: () => void) {
+
+  if (!(gpgpu instanceof tf.webgl.GPGPUContext)) {
+    describe(description, specDefinitions)
+    return
+  }
+
+  const defaultBackendName = tf.getBackend()
+  const newBackendName = 'testBackend'
+  const backend = new tf.webgl.MathBackendWebGL(gpgpu)
+
+  describe(description, () => {
+    beforeAll(() => {
+      tf.ENV.registerBackend(newBackendName, () => backend)
+      tf.setBackend(newBackendName)
+    })
+
+    afterAll(() => {
+      tf.setBackend(defaultBackendName)
+      tf.ENV.removeBackend(newBackendName)
+      backend.dispose()
+    })
+
+    specDefinitions()
+  })
+}
+
 export function describeWithNets(
   description: string,
   options: DescribeWithNetsOptions,