UNPKG

@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.unpackConfig = void 0; var tfjs_1 = require("@tensorflow/tfjs"); var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend"); exports.unpackConfig = { kernelName: tfjs_1.Unpack, backendName: 'tensorflow', kernelFunc: function (args) { var value = args.inputs.value; var backend = args.backend; var axis = args.attrs.axis; if (axis < 0) { axis += value.shape.length; } if (axis >= value.shape.length) { throw new Error("Invalid axis supplied: ".concat(axis, " shape length: ").concat(value.shape.length)); } var num = value.shape[axis]; var opAttrs = [ { name: 'num', type: backend.binding.TF_ATTR_INT, value: num }, (0, nodejs_kernel_backend_1.createTensorsTypeOpAttr)('T', value.dtype), { name: 'axis', type: backend.binding.TF_ATTR_INT, value: axis } ]; return backend.executeMultipleOutputs(tfjs_1.Unpack, opAttrs, [value], num); } };