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@tensorflow/tfjs-node

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This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

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/** * @license * Copyright 2018 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /** * Convert an ArrayBuffer to a Buffer. */ export function toBuffer(ab: ArrayBuffer): Buffer { const view = new Uint8Array(ab); return Buffer.from(view); // copies data } /** * Convert a Buffer or an Array of Buffers to an ArrayBuffer. * * If the input is an Array of Buffers, they will be concatenated in the * specified order to form the output ArrayBuffer. */ export function toArrayBuffer(buf: Buffer|Buffer[]): ArrayBuffer { if (Array.isArray(buf)) { // An Array of Buffers. let totalLength = 0; for (const buffer of buf) { totalLength += buffer.length; } const ab = new ArrayBuffer(totalLength); const view = new Uint8Array(ab); let pos = 0; for (const buffer of buf) { pos += buffer.copy(view, pos); } return ab; } else { // A single Buffer. Return a copy of the underlying ArrayBuffer slice. return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength); } }