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 { Sub } 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 { op } from './operation';
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22 | /**
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23 | * Subtracts two `tf.Tensor`s element-wise, A - B. Supports broadcasting.
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24 | *
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25 | * ```js
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26 | * const a = tf.tensor1d([10, 20, 30, 40]);
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27 | * const b = tf.tensor1d([1, 2, 3, 4]);
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28 | *
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29 | * a.sub(b).print(); // or tf.sub(a, b)
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30 | * ```
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31 | *
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32 | * ```js
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33 | * // Broadcast subtract a with b.
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34 | * const a = tf.tensor1d([10, 20, 30, 40]);
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35 | * const b = tf.scalar(5);
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36 | *
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37 | * a.sub(b).print(); // or tf.sub(a, b)
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38 | * ```
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39 | * @param a The first `tf.Tensor` to subtract from.
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40 | * @param b The second `tf.Tensor` to be subtracted. Must have the same dtype as
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41 | * `a`.
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42 | *
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43 | * @doc {heading: 'Operations', subheading: 'Arithmetic'}
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44 | */
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45 | function sub_(a, b) {
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46 | let $a = convertToTensor(a, 'a', 'sub');
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47 | let $b = convertToTensor(b, 'b', 'sub');
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48 | [$a, $b] = makeTypesMatch($a, $b);
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49 | const inputs = { a: $a, b: $b };
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50 | return ENGINE.runKernel(Sub, inputs);
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51 | }
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52 | export const sub = op({ sub_ });
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53 | //# sourceMappingURL=sub.js.map |
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