text: "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 });
  var tfjs_1 = require("@tensorflow/tfjs");
  var nodejs_kernel_backend_1 = require("../nodejs_kernel_backend");
  exports.linSpaceConfig = {
      kernelName: tfjs_1.LinSpace,
      backendName: 'tensorflow',
      kernelFunc: function (args) {
          var backend = args.backend;
          var _a = args.attrs, start = _a.start, stop = _a.stop, num = _a.num;
          var opAttrs = [
              nodejs_kernel_backend_1.createTensorsTypeOpAttr('T', 'float32'),
              nodejs_kernel_backend_1.createTensorsTypeOpAttr('Tidx', 'int32')
          ];
          return tfjs_1.tidy(function () {
              var inputs = [
                  tfjs_1.scalar(start, 'float32'), tfjs_1.scalar(stop, 'float32'), tfjs_1.scalar(num, 'int32')
              ];
              return backend.executeSingleOutput(tfjs_1.LinSpace, opAttrs, inputs);
          });
      }
  };
  