@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
40 lines • 4.44 kB
JavaScript
/**
* @license
* Copyright 2018 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 { Log1p } from '../kernel_names';
import { convertToTensor } from '../tensor_util_env';
import { op } from './operation';
/**
* Computes natural logarithm of the input `tf.Tensor` plus one
* element-wise: `ln(1 + x)`
*
* ```js
* const x = tf.tensor1d([1, 2, Math.E - 1]);
*
* x.log1p().print(); // or tf.log1p(x)
* ```
* @param x The input tensor.
*
* @doc {heading: 'Operations', subheading: 'Basic math'}
*/
function log1p_(x) {
const $x = convertToTensor(x, 'x', 'log1p');
const inputs = { x: $x };
return ENGINE.runKernel(Log1p, inputs);
}
export const log1p = /* @__PURE__ */ op({ log1p_ });
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