| 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 { LogicalOr } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import { assertAndGetBroadcastShape } from './broadcast_util';
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| 21 | import { op } from './operation';
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| 22 | /**
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| 23 | * Returns the truth value of `a OR b` element-wise. Supports broadcasting.
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| 24 | *
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| 25 | * ```js
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| 26 | * const a = tf.tensor1d([false, false, true, true], 'bool');
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| 27 | * const b = tf.tensor1d([false, true, false, true], 'bool');
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| 28 | *
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| 29 | * a.logicalOr(b).print();
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| 30 | * ```
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| 31 | * @param a The first input tensor. Must be of dtype bool.
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| 32 | * @param b The second input tensor. Must be of dtype bool.
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| 33 | *
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| 34 | * @doc {heading: 'Operations', subheading: 'Logical'}
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| 35 | */
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| 36 | function logicalOr_(a, b) {
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| 37 | const $a = convertToTensor(a, 'a', 'logicalOr', 'bool');
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| 38 | const $b = convertToTensor(b, 'b', 'logicalOr', 'bool');
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| 39 | assertAndGetBroadcastShape($a.shape, $b.shape);
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| 40 | const inputs = { a: $a, b: $b };
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| 41 | return ENGINE.runKernel(LogicalOr, inputs);
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| 42 | }
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| 43 | export const logicalOr = op({ logicalOr_ });
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