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refactor(deps): migrate @tensorflow/tfjs from 3.4.0 to 4.22.0 #7061

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refactor(deps): migrate @tensorflow/tfjs from 3.4.0 to 4.22.0 #7061

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8 changes: 4 additions & 4 deletions package.json
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Original file line number Diff line number Diff line change
Expand Up @@ -112,10 +112,10 @@
"@polymer/paper-toolbar": "^3.0.1",
"@polymer/paper-tooltip": "^3.0.1",
"@polymer/polymer": "^3.4.1",
"@tensorflow/tfjs": "3.4.0",
"@tensorflow/tfjs-backend-cpu": "3.4.0",
"@tensorflow/tfjs-backend-webgl": "3.4.0",
"@tensorflow/tfjs-core": "3.4.0",
"@tensorflow/tfjs": "4.22.0",
"@tensorflow/tfjs-backend-cpu": "4.22.0",
"@tensorflow/tfjs-backend-webgl": "4.22.0",
"@tensorflow/tfjs-core": "4.22.0",
"@vaadin/vaadin-grid": "^20.0.2",
"d3": "5.7.0",
"dagre": "^0.8.5",
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14 changes: 7 additions & 7 deletions tensorboard/plugins/projector/vz_projector/knn.ts
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Expand Up @@ -71,26 +71,26 @@ export function findKNNGPUCosDistNorm<T>(
let piece = 0;

const typedArray = vector.toTypedArray(dataPoints, accessor);
const bigMatrix = tf.tensor(typedArray, [N, dim]);
const bigMatrix = tf.tensor2d(typedArray, [N, dim]);
const bigMatrixTransposed = tf.transpose(bigMatrix);
// 1 - A * A^T.
const bigMatrixSquared = tf.matMul(bigMatrix, bigMatrixTransposed);
const cosDistMatrix = tf.sub(1, bigMatrixSquared);
const cosDistMatrix = tf.sub(tf.scalar(1), bigMatrixSquared);

let maybePaddedCosDistMatrix = cosDistMatrix;
let maybePaddedCosDistMatrix: tf.Tensor2D = cosDistMatrix;
if (actualPieceSize * numPieces > N) {
// Expect the input to be rank 2 (though it is not typed that way) so we
// want to pad the first dimension so we split very evenly (all splitted
// tensor have exactly the same dimesion).
const padding: Array<[number, number]> = [
const padding: number[][] = [
[0, actualPieceSize * numPieces - N],
[0, 0],
];
maybePaddedCosDistMatrix = tf.pad(cosDistMatrix, padding);
maybePaddedCosDistMatrix = tf.pad(cosDistMatrix, padding) as tf.Tensor2D;
}
const splits = tf.split(
maybePaddedCosDistMatrix,
new Array(numPieces).fill(actualPieceSize),
maybePaddedCosDistMatrix as tf.Tensor,
new Array(numPieces).fill(actualPieceSize) as number[],
0
);

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5 changes: 5 additions & 0 deletions tensorboard/webapp/third_party/tfjs.ts
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Expand Up @@ -16,3 +16,8 @@ export * from '@tensorflow/tfjs-core';

import '@tensorflow/tfjs-backend-cpu';
import '@tensorflow/tfjs-backend-webgl';

// TF.js 4.x requires explicitly setting/registering a backend.
// setBackend is re-exported from tfjs-core above; callers should invoke
// tf.setBackend('webgl') or tf.setBackend('cpu') before running operations
// if the default backend resolution is not sufficient.