| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { ENGINE } from '../engine';
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| 18 | import { Max } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import { op } from './operation';
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| 21 | /**
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| 22 | * Computes the maximum of elements across dimensions of a `tf.Tensor`.
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| 23 | *
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| 24 | * Reduces the input along the dimensions given in `axes`. Unless `keepDims`
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| 25 | * is true, the rank of the `tf.Tensor` is reduced by 1 for each entry in
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| 26 | * `axes`. If `keepDims` is true, the reduced dimensions are retained with
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| 27 | * length 1. If `axes` has no entries, all dimensions are reduced, and an
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| 28 | * `tf.Tensor` with a single element is returned.
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| 29 | *
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| 30 | * ```js
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| 31 | * const x = tf.tensor1d([1, 2, 3]);
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| 32 | *
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| 33 | * x.max().print(); // or tf.max(x)
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| 34 | * ```
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| 35 | *
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| 36 | * ```js
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| 37 | * const x = tf.tensor2d([1, 2, 3, 4], [2, 2]);
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| 38 | *
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| 39 | * const axis = 1;
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| 40 | * x.max(axis).print(); // or tf.max(x, axis)
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| 41 | * ```
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| 42 | *
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| 43 | * @param x The input tensor.
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| 44 | * @param axis The dimension(s) to reduce. By default it reduces
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| 45 | * all dimensions.
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| 46 | * @param keepDims If true, retains reduced dimensions with size 1.
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| 47 | *
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| 48 | * @doc {heading: 'Operations', subheading: 'Reduction'}
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| 49 | */
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| 50 | function max_(x, axis = null, keepDims = false) {
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| 51 | const $x = convertToTensor(x, 'x', 'max');
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| 52 | const inputs = { x: $x };
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| 53 | const attrs = { reductionIndices: axis, keepDims };
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| 54 | return ENGINE.runKernel(Max, inputs, attrs);
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| 55 | }
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| 56 | export const max = op({ max_ });
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