/**
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* @license
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* Copyright 2022 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the 'License');
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an 'AS IS' BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/cumprod" />
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import { Tensor } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Computes the cumulative product of a `tf.Tensor` along `axis`.
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*
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* ```js
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* const x = tf.tensor([1, 2, 3, 4]);
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* x.cumprod().print();
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* ```
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* ```js
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* const x = tf.tensor([[1, 2], [3, 4]]);
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* x.cumprod().print();
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* ```
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*
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* @param x The input tensor to cumulatively multiply.
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* @param axis The axis along which to multiply. Optional. Defaults to 0.
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* @param exclusive Whether to perform exclusive cumulative product. Optional.
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* Defaults to false. If set to true then the product of each tensor entry
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* does not include its own value, but only the values previous to it
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* along the specified axis.
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* @param reverse Whether to multiply in the opposite direction. Optional.
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* Defaults to false.
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*
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* @doc {heading: 'Operations', subheading: 'Scan'}
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*/
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declare function cumprod_<T extends Tensor>(x: Tensor | TensorLike, axis?: number, exclusive?: boolean, reverse?: boolean): T;
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export declare const cumprod: typeof cumprod_;
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export {};
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