/**
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* @license
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* Copyright 2020 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/dense_bincount" />
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import { Tensor1D, Tensor2D } from '../tensor';
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import { TensorLike } from '../types';
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/**
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* Outputs a vector with length `size` and the same dtype as `weights`.
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*
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* If `weights` are empty, then index `i` stores the number of times the value
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* `i` is counted in `x`. If `weights` are non-empty, then index `i` stores the
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* sum of the value in `weights` at each index where the corresponding value in
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* `x` is `i`.
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*
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* Values in `x` outside of the range [0, size) are ignored.
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*
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* @param x The input int tensor, rank 1 or rank 2.
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* @param weights The weights tensor, must have the same shape as x, or a
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* length-0 Tensor, in which case it acts as all weights equal to 1.
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* @param size Non-negative integer.
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* @param binaryOutput Optional. Whether the kernel should count the appearance
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* or number of occurrences. Defaults to False.
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*
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* @doc {heading: 'Operations', subheading: 'Reduction'}
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*/
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declare function denseBincount_<T extends Tensor1D | Tensor2D>(x: T | TensorLike, weights: T | TensorLike, size: number, binaryOutput?: boolean): T;
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export declare const denseBincount: typeof denseBincount_;
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export {};
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