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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2020 Google Inc. 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. * ============================================================================= */ import {broadcastToGradConfig} from './gradients/BroadcastTo_grad'; import {divGradConfig} from './gradients/Div_grad'; import {identityGradConfig} from './gradients/Identity_grad'; import {oneHotGradConfig} from './gradients/OneHot_grad'; import {squareGradConfig} from './gradients/Square_grad'; import {squaredDifferenceGradConfig} from './gradients/SquaredDifference_grad'; import {tileGradConfig} from './gradients/Tile_grad'; import {GradConfig} from './kernel_registry'; import {registerGradient} from './kernel_registry'; // Export all kernel configs here so that the package can auto register them const gradConfigs: GradConfig[] = [ divGradConfig, squareGradConfig, squaredDifferenceGradConfig, broadcastToGradConfig, identityGradConfig, tileGradConfig, oneHotGradConfig ]; for (const gradientConfig of gradConfigs) { registerGradient(gradientConfig); }