/**

* @license

* Copyright 2020 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 {ENGINE} from '../engine';

import {DenseBincount, DenseBincountAttrs, DenseBincountInputs} from '../kernel_names';

import {NamedAttrMap} from '../kernel_registry';

import {Tensor1D, Tensor2D} from '../tensor';

import {NamedTensorMap} from '../tensor_types';

import {convertToTensor} from '../tensor_util_env';

import {TensorLike} from '../types';

import * as util from '../util';

import {op} from './operation';

/**

* Outputs a vector with length `size` and the same dtype as `weights`.

*

* If `weights` are empty, then index `i` stores the number of times the value

* `i` is counted in `x`. If `weights` are non-empty, then index `i` stores the

* sum of the value in `weights` at each index where the corresponding value in

* `x` is `i`.

*

* Values in `x` outside of the range [0, size) are ignored.

*

* @param x The input int tensor, rank 1 or rank 2.

* @param weights The weights tensor, must have the same shape as x, or a

* length-0 Tensor, in which case it acts as all weights equal to 1.

* @param size Non-negative integer.

* @param binaryOutput Optional. Whether the kernel should count the appearance

* or number of occurrences. Defaults to False.

*

* @doc {heading: 'Operations', subheading: 'Reduction'}

*/

function denseBincount_<T extends Tensor1D|Tensor2D>(

}

export const denseBincount = /* @__PURE__ */ op({denseBincount_});