@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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);
}