| 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 { SquaredDifference } from '../kernel_names';
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| 19 | import { makeTypesMatch } from '../tensor_util';
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| 20 | import { convertToTensor } from '../tensor_util_env';
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| 21 | import { assertAndGetBroadcastShape } from './broadcast_util';
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| 22 | import { op } from './operation';
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| 23 | /**
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| 24 | * Returns (a - b) * (a - b) element-wise.
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| 25 | * Supports broadcasting.
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| 26 | *
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| 27 | * ```js
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| 28 | * const a = tf.tensor1d([1, 4, 3, 16]);
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| 29 | * const b = tf.tensor1d([1, 2, 9, 4]);
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| 30 | *
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| 31 | * a.squaredDifference(b).print(); // or tf.squaredDifference(a, b)
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| 32 | * ```
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| 33 | *
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| 34 | * ```js
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| 35 | * // Broadcast squared difference a with b.
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| 36 | * const a = tf.tensor1d([2, 4, 6, 8]);
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| 37 | * const b = tf.scalar(5);
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| 38 | *
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| 39 | * a.squaredDifference(b).print(); // or tf.squaredDifference(a, b)
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| 40 | * ```
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| 41 | *
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| 42 | * @param a The first tensor.
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| 43 | * @param b The second tensor. Must have the same type as `a`.
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| 44 | *
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| 45 | * @doc {heading: 'Operations', subheading: 'Arithmetic'}
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| 46 | */
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| 47 | function squaredDifference_(a, b) {
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| 48 | let $a = convertToTensor(a, 'a', 'squaredDifference');
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| 49 | let $b = convertToTensor(b, 'b', 'squaredDifference');
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| 50 | [$a, $b] = makeTypesMatch($a, $b);
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| 51 | assertAndGetBroadcastShape($a.shape, $b.shape);
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| 52 | const inputs = { a: $a, b: $b };
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| 53 | const attrs = {};
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| 54 | return ENGINE.runKernel(SquaredDifference, inputs, attrs);
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| 55 | }
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| 56 | export const squaredDifference = op({ squaredDifference_ });
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| 57 | //# sourceMappingURL=squared_difference.js.map |
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