/** * @license * Copyright 2019 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. * ============================================================================= */ /// import { OpExecutor, OpMapper } from '../types'; /** * Register an Op for graph model executor. This allows you to register * TensorFlow custom op or override existing op. * * Here is an example of registering a new MatMul Op. * ```js * const customMatmul = (node) => * tf.matMul( * node.inputs[0], node.inputs[1], * node.attrs['transpose_a'], node.attrs['transpose_b']); * * tf.registerOp('MatMul', customMatmul); * ``` * The inputs and attrs of the node object are based on the TensorFlow op * registry. * * @param name The Tensorflow Op name. * @param opFunc An op function which is called with the current graph node * during execution and needs to return a tensor or a list of tensors. The node * has the following attributes: * - attr: A map from attribute name to its value * - inputs: A list of input tensors * * @doc {heading: 'Models', subheading: 'Op Registry'} */ export declare function registerOp(name: string, opFunc: OpExecutor): void; /** * Retrieve the OpMapper object for the registered op. * * @param name The Tensorflow Op name. * * @doc {heading: 'Models', subheading: 'Op Registry'} */ export declare function getRegisteredOp(name: string): OpMapper; /** * Deregister the Op for graph model executor. * * @param name The Tensorflow Op name. * * @doc {heading: 'Models', subheading: 'Op Registry'} */ export declare function deregisterOp(name: string): void;