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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @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 { Relu } from '../kernel_names'; import { convertToTensor } from '../tensor_util_env'; import { op } from './operation'; /** * Computes rectified linear element-wise: `max(x, 0)`. * * ```js * const x = tf.tensor1d([-1, 2, -3, 4]); * * x.relu().print(); // or tf.relu(x) * ``` * @param x The input tensor. If the dtype is `bool`, the output dtype will be * `int32`. * * @doc {heading: 'Operations', subheading: 'Basic math'} */ function relu_(x) { const $x = convertToTensor(x, 'x', 'relu'); const inputs = { x: $x }; return ENGINE.runKernel(Relu, inputs); } export const relu = /* @__PURE__ */ op({ relu_ }); //# sourceMappingURL=data:application/json;base64,eyJ2ZXJzaW9uIjozLCJmaWxlIjoicmVsdS5qcyIsInNvdXJjZVJvb3QiOiIiLCJzb3VyY2VzIjpbIi4uLy4uLy4uLy4uLy4uLy4uL3RmanMtY29yZS9zcmMvb3BzL3JlbHUudHMiXSwibmFtZXMiOltdLCJtYXBwaW5ncyI6IkFBQUE7Ozs7Ozs7Ozs7Ozs7OztHQWVHO0FBRUgsT0FBTyxFQUFDLE1BQU0sRUFBQyxNQUFNLFdBQVcsQ0FBQztBQUNqQyxPQUFPLEVBQUMsSUFBSSxFQUFhLE1BQU0saUJBQWlCLENBQUM7QUFHakQsT0FBTyxFQUFDLGVBQWUsRUFBQyxNQUFNLG9CQUFvQixDQUFDO0FBR25ELE9BQU8sRUFBQyxFQUFFLEVBQUMsTUFBTSxhQUFhLENBQUM7QUFFL0I7Ozs7Ozs7Ozs7OztHQVlHO0FBQ0gsU0FBUyxLQUFLLENBQW1CLENBQWU7SUFDOUMsTUFBTSxFQUFFLEdBQUcsZUFBZSxDQUFDLENBQUMsRUFBRSxHQUFHLEVBQUUsTUFBTSxDQUFDLENBQUM7SUFFM0MsTUFBTSxNQUFNLEdBQWUsRUFBQyxDQUFDLEVBQUUsRUFBRSxFQUFDLENBQUM7SUFFbkMsT0FBTyxNQUFNLENBQUMsU0FBUyxDQUFDLElBQUksRUFBRSxNQUFtQyxDQUFDLENBQUM7QUFDckUsQ0FBQztBQUVELE1BQU0sQ0FBQyxNQUFNLElBQUksR0FBRyxlQUFlLENBQUMsRUFBRSxDQUFDLEVBQUMsS0FBSyxFQUFDLENBQUMsQ0FBQyIsInNvdXJjZXNDb250ZW50IjpbIi8qKlxuICogQGxpY2Vuc2VcbiAqIENvcHlyaWdodCAyMDIwIEdvb2dsZSBMTEMuIEFsbCBSaWdodHMgUmVzZXJ2ZWQuXG4gKiBMaWNlbnNlZCB1bmRlciB0aGUgQXBhY2hlIExpY2Vuc2UsIFZlcnNpb24gMi4wICh0aGUgXCJMaWNlbnNlXCIpO1xuICogeW91IG1heSBub3QgdXNlIHRoaXMgZmlsZSBleGNlcHQgaW4gY29tcGxpYW5jZSB3aXRoIHRoZSBMaWNlbnNlLlxuICogWW91IG1heSBvYnRhaW4gYSBjb3B5IG9mIHRoZSBMaWNlbnNlIGF0XG4gKlxuICogaHR0cDovL3d3dy5hcGFjaGUub3JnL2xpY2Vuc2VzL0xJQ0VOU0UtMi4wXG4gKlxuICogVW5sZXNzIHJlcXVpcmVkIGJ5IGFwcGxpY2FibGUgbGF3IG9yIGFncmVlZCB0byBpbiB3cml0aW5nLCBzb2Z0d2FyZVxuICogZGlzdHJpYnV0ZWQgdW5kZXIgdGhlIExpY2Vuc2UgaXMgZGlzdHJpYnV0ZWQgb24gYW4gXCJBUyBJU1wiIEJBU0lTLFxuICogV0lUSE9VVCBXQVJSQU5USUVTIE9SIENPTkRJVElPTlMgT0YgQU5ZIEtJTkQsIGVpdGhlciBleHByZXNzIG9yIGltcGxpZWQuXG4gKiBTZWUgdGhlIExpY2Vuc2UgZm9yIHRoZSBzcGVjaWZpYyBsYW5ndWFnZSBnb3Zlcm5pbmcgcGVybWlzc2lvbnMgYW5kXG4gKiBsaW1pdGF0aW9ucyB1bmRlciB0aGUgTGljZW5zZS5cbiAqID09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09XG4gKi9cblxuaW1wb3J0IHtFTkdJTkV9IGZyb20gJy4uL2VuZ2luZSc7XG5pbXBvcnQge1JlbHUsIFJlbHVJbnB1dHN9IGZyb20gJy4uL2tlcm5lbF9uYW1lcyc7XG5pbXBvcnQge1RlbnNvcn0gZnJvbSAnLi4vdGVuc29yJztcbmltcG9ydCB7TmFtZWRUZW5zb3JNYXB9IGZyb20gJy4uL3RlbnNvcl90eXBlcyc7XG5pbXBvcnQge2NvbnZlcnRUb1RlbnNvcn0gZnJvbSAnLi4vdGVuc29yX3V0aWxfZW52JztcbmltcG9ydCB7VGVuc29yTGlrZX0gZnJvbSAnLi4vdHlwZXMnO1xuXG5pbXBvcnQge29wfSBmcm9tICcuL29wZXJhdGlvbic7XG5cbi8qKlxuICogQ29tcHV0ZXMgcmVjdGlmaWVkIGxpbmVhciBlbGVtZW50LXdpc2U6IGBtYXgoeCwgMClgLlxuICpcbiAqIGBgYGpzXG4gKiBjb25zdCB4ID0gdGYudGVuc29yMWQoWy0xLCAyLCAtMywgNF0pO1xuICpcbiAqIHgucmVsdSgpLnByaW50KCk7ICAvLyBvciB0Zi5yZWx1KHgpXG4gKiBgYGBcbiAqIEBwYXJhbSB4IFRoZSBpbnB1dCB0ZW5zb3IuIElmIHRoZSBkdHlwZSBpcyBgYm9vbGAsIHRoZSBvdXRwdXQgZHR5cGUgd2lsbCBiZVxuICogICAgIGBpbnQzMmAuXG4gKlxuICogQGRvYyB7aGVhZGluZzogJ09wZXJhdGlvbnMnLCBzdWJoZWFkaW5nOiAnQmFzaWMgbWF0aCd9XG4gKi9cbmZ1bmN0aW9uIHJlbHVfPFQgZXh0ZW5kcyBUZW5zb3I+KHg6IFR8VGVuc29yTGlrZSk6IFQge1xuICBjb25zdCAkeCA9IGNvbnZlcnRUb1RlbnNvcih4LCAneCcsICdyZWx1Jyk7XG5cbiAgY29uc3QgaW5wdXRzOiBSZWx1SW5wdXRzID0ge3g6ICR4fTtcblxuICByZXR1cm4gRU5HSU5FLnJ1bktlcm5lbChSZWx1LCBpbnB1dHMgYXMgdW5rbm93biBhcyBOYW1lZFRlbnNvck1hcCk7XG59XG5cbmV4cG9ydCBjb25zdCByZWx1ID0gLyogQF9fUFVSRV9fICovIG9wKHtyZWx1X30pO1xuIl19