| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2019 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { OpExecutor, OpMapper } from '../types';
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| 18 | /**
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| 19 | * Register an Op for graph model executor. This allow you to register
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| 20 | * TensorFlow custom op or override existing op.
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| 21 | *
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| 22 | * Here is an example of registering a new MatMul Op.
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| 23 | * ```js
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| 24 | * const customMatmul = (node) =>
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| 25 | * tf.matMul(
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| 26 | * node.inputs[0], node.inputs[1],
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| 27 | * node.attrs['transpose_a'], node.attrs['transpose_b']);
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| 28 | *
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| 29 | * tf.registerOp('MatMul', customMatmul);
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| 30 | * ```
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| 31 | * The inputs and attrs of the node object is based on the TensorFlow op
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| 32 | * registry.
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| 33 | *
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| 34 | * @param name The Tensorflow Op name.
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| 35 | * @param opFunc An op function which is called with the current graph node
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| 36 | * during execution and needs to return a tensor or a list of tensors. The node
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| 37 | * has the following attributes:
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| 38 | * - attr: A map from attribute name to its value
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| 39 | * - inputs: A list of input tensors
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| 40 | *
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| 41 | * @doc {heading: 'Models', subheading: 'Op Registry'}
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| 42 | */
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| 43 | export declare function registerOp(name: string, opFunc: OpExecutor): void;
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| 44 | /**
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| 45 | * Retrieve the OpMapper object for the registered op.
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| 46 | *
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| 47 | * @param name The Tensorflow Op name.
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| 48 | *
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| 49 | * @doc {heading: 'Models', subheading: 'Op Registry'}
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| 50 | */
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| 51 | export declare function getRegisteredOp(name: string): OpMapper;
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| 52 | /**
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| 53 | * Deregister the Op for graph model executor.
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| 54 | *
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| 55 | * @param name The Tensorflow Op name.
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| 56 | *
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| 57 | * @doc {heading: 'Models', subheading: 'Op Registry'}
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| 58 | */
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| 59 | export declare function deregisterOp(name: string): void;
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