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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 {ArgMax, ArgMaxAttrs, ArgMaxInputs, KernelConfig, scalar, Tensor} from '@tensorflow/tfjs'; import {createTensorsTypeOpAttr, NodeJSKernelBackend} from '../nodejs_kernel_backend'; export const argMaxConfig: KernelConfig = { kernelName: ArgMax, backendName: 'tensorflow', kernelFunc: (args) => { const {x} = args.inputs as ArgMaxInputs; const backend = args.backend as NodeJSKernelBackend; const {axis} = args.attrs as unknown as ArgMaxAttrs; const toDispose: Tensor[] = []; let xInput = x; if (x.dtype === 'bool') { xInput = (x as Tensor).toInt(); toDispose.push(xInput as Tensor); } const axisScalar = scalar(axis, 'int32'); toDispose.push(axisScalar); const opAttrs = [ createTensorsTypeOpAttr('T', xInput.dtype), createTensorsTypeOpAttr('Tidx', 'int32'), createTensorsTypeOpAttr('output_type', 'int32') ]; const res = backend.executeSingleOutput(ArgMax, opAttrs, [xInput, axisScalar]); toDispose.forEach(t => t.dispose()); return res; } };