@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
47 lines • 1.73 kB
JavaScript
/**
* @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 { Greater } from '../kernel_names';
import { makeTypesMatch } from '../tensor_util';
import { convertToTensor } from '../tensor_util_env';
import { assertAndGetBroadcastShape } from './broadcast_util';
import { op } from './operation';
/**
* Returns the truth value of (a > b) element-wise. Supports broadcasting.
*
* ```js
* const a = tf.tensor1d([1, 2, 3]);
* const b = tf.tensor1d([2, 2, 2]);
*
* a.greater(b).print();
* ```
*
* @param a The first input tensor.
* @param b The second input tensor. Must have the same dtype as `a`.
*
* @doc {heading: 'Operations', subheading: 'Logical'}
*/
function greater_(a, b) {
let $a = convertToTensor(a, 'a', 'greater');
let $b = convertToTensor(b, 'b', 'greater');
[$a, $b] = makeTypesMatch($a, $b);
assertAndGetBroadcastShape($a.shape, $b.shape);
const inputs = { a: $a, b: $b };
return ENGINE.runKernel(Greater, inputs);
}
export const greater = op({ greater_ });
//# sourceMappingURL=greater.js.map