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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 2020 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. * ============================================================================= */ import {KernelConfig, OneHot, OneHotAttrs, OneHotInputs, scalar} from '@tensorflow/tfjs'; import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend'; export const oneHotConfig: KernelConfig = { kernelName: OneHot, backendName: 'tensorflow', kernelFunc: (args) => { const {indices} = args.inputs as OneHotInputs; const backend = args.backend as NodeJSKernelBackend; const {dtype, depth, onValue, offValue} = args.attrs as unknown as OneHotAttrs; const depthTensor = scalar(depth, 'int32'); const onValueTensor = scalar(onValue, dtype); const offValueTensor = scalar(offValue, dtype); const opAttrs = [ {name: 'axis', type: backend.binding.TF_ATTR_INT, value: -1}, createTensorsTypeOpAttr('T', dtype), createTensorsTypeOpAttr('TI', indices.dtype) ]; const res = backend.executeSingleOutput( OneHot, opAttrs, [indices, depthTensor, onValueTensor, offValueTensor]); depthTensor.dispose(); onValueTensor.dispose(); offValueTensor.dispose(); return res; } };