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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.bincountConfig = void 0; var tfjs_1 = require("@tensorflow/tfjs"); var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend"); exports.bincountConfig = { kernelName: tfjs_1.Bincount, backendName: 'tensorflow', kernelFunc: function (_a) { var inputs = _a.inputs, backend = _a.backend, attrs = _a.attrs; var _b = inputs, x = _b.x, weights = _b.weights; var size = attrs.size; var nodeBackend = backend; var $size = (0, tfjs_1.scalar)(size, 'int32'); var opAttrs = [(0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', weights.dtype)]; var result = nodeBackend.executeSingleOutput(tfjs_1.Bincount, opAttrs, [x, $size, weights]); $size.dispose(); return result; } };