/** * @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 {Any, AnyAttrs, AnyInputs} from '../kernel_names'; import {NamedAttrMap} from '../kernel_registry'; import {Tensor} from '../tensor'; import {NamedTensorMap} from '../tensor_types'; import {convertToTensor} from '../tensor_util_env'; import {TensorLike} from '../types'; import {op} from './operation'; /** * Computes the logical or of elements across dimensions of a `tf.Tensor`. * * Reduces the input along the dimensions given in `axes`. Unless `keepDims` * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in * `axes`. If `keepDims` is true, the reduced dimensions are retained with * length 1. If `axes` has no entries, all dimensions are reduced, and a * `tf.Tensor` with a single element is returned. * * ```js * const x = tf.tensor1d([1, 1, 1], 'bool'); * * x.any().print(); // or tf.any(x) * ``` * * ```js * const x = tf.tensor2d([1, 1, 0, 0], [2, 2], 'bool'); * * const axis = 1; * x.any(axis).print(); // or tf.any(x, axis) * ``` * * @param x The input tensor. Must be of dtype bool. * @param axis The dimension(s) to reduce. By default it reduces * all dimensions. * @param keepDims If true, retains reduced dimensions with size 1. * * @doc {heading: 'Operations', subheading: 'Reduction'} */ function any_( x: Tensor|TensorLike, axis: number|number[] = null, keepDims = false): T { const $x = convertToTensor(x, 'x', 'any', 'bool'); const inputs: AnyInputs = {x: $x}; const attrs: AnyAttrs = {axis, keepDims}; return ENGINE.runKernel( Any, inputs as unknown as NamedTensorMap, attrs as unknown as NamedAttrMap); } // tslint:disable-next-line:variable-name export const any = /* @__PURE__ */ op({any_});