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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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"use strict"; /** * @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. * ============================================================================= */ Object.defineProperty(exports, "__esModule", { value: true }); exports.stepConfig = void 0; var tfjs_1 = require("@tensorflow/tfjs"); var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend"); exports.stepConfig = { kernelName: tfjs_1.Step, backendName: 'tensorflow', kernelFunc: function (args) { var x = args.inputs.x; var backend = args.backend; var alpha = args.attrs.alpha; var dtype = x.dtype; return (0, tfjs_1.tidy)(function () { var nans = (0, tfjs_1.isNaN)(x); var stepNoNans = (0, tfjs_1.where)((0, tfjs_1.greater)(x, (0, tfjs_1.scalar)(0, dtype)), (0, tfjs_1.ones)(x.shape), (0, tfjs_1.fill)(x.shape, alpha, dtype)); var opAttrs = [(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', tfjs_1.backend_util.upcastType(x.dtype, stepNoNans.dtype))]; return backend.executeSingleOutput('Select', opAttrs, [nans, x, stepNoNans]); }); } };