@tensorflow/tfjs-core/dist/ops/dense_bincount.d.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @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.
 * =============================================================================
 */
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/dense_bincount" />
import { Tensor1D, Tensor2D } from '../tensor';
import { TensorLike } from '../types';
/**
 * 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'}
 */
declare function denseBincount_<T extends Tensor1D | Tensor2D>(x: T | TensorLike, weights: T | TensorLike, size: number, binaryOutput?: boolean): T;
export declare const denseBincount: typeof denseBincount_;
export {};