@tensorflow/tfjs-node/dist/register_all_kernels.js

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
/**
 * @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.
 * =============================================================================
 */
// We explicitly import the modular kernels so they get registered in the
// global registry when we compile the library. A modular build would replace
// the contents of this file and import only the kernels that are needed.
var tfjs_core_1 = require("@tensorflow/tfjs-core");
var Dilation2D_1 = require("./kernels/Dilation2D");
var Dilation2DBackpropFilter_1 = require("./kernels/Dilation2DBackpropFilter");
var Dilation2DBackpropInput_1 = require("./kernels/Dilation2DBackpropInput");
var NonMaxSuppressionV4_1 = require("./kernels/NonMaxSuppressionV4");
var NonMaxSuppressionV5_1 = require("./kernels/NonMaxSuppressionV5");
var Softmax_1 = require("./kernels/Softmax");
var SquaredDifference_1 = require("./kernels/SquaredDifference");
// List all kernel configs here
var kernelConfigs = [
    Dilation2D_1.dilation2dConfig, Dilation2DBackpropInput_1.dilation2dBackpropInputConfig,
    Dilation2DBackpropFilter_1.dilation2dBackpropFilterConfig, NonMaxSuppressionV4_1.nonMaxSuppressionV4Config,
    NonMaxSuppressionV5_1.nonMaxSuppressionV5Config, Softmax_1.softmaxConfig, SquaredDifference_1.squaredDifferenceConfig
];
for (var _i = 0, kernelConfigs_1 = kernelConfigs; _i < kernelConfigs_1.length; _i++) {
    var kernelConfig = kernelConfigs_1[_i];
    tfjs_core_1.registerKernel(kernelConfig);
}