@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
55 lines • 2.18 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 { AddN } from '../kernel_names';
import { convertToTensor } from '../tensor_util_env';
import * as util from '../util';
import { op } from './operation';
/**
* Adds a list of `tf.Tensor`s element-wise, each with the same shape and dtype.
*
* ```js
* const a = tf.tensor1d([1, 2]);
* const b = tf.tensor1d([3, 4]);
* const c = tf.tensor1d([5, 6]);
*
* tf.addN([a, b, c]).print();
* ```
* @param tensors A list of tensors with the same shape and dtype.
* @doc {heading: 'Operations', subheading: 'Arithmetic'}
*/
function addN_(tensors) {
util.assert(Array.isArray(tensors), () => 'The argument passed to tf.addN() must be a list of tensors');
util.assert(tensors.length >= 1, () => `Must pass at least one tensor to tf.addN(), but got ` +
`${tensors.length}`);
const $tensors = tensors.map((t, i) => convertToTensor(t, `tensors${i}`, 'addN'));
const firstTensor = $tensors[0];
$tensors.forEach(t => {
if (t.dtype !== firstTensor.dtype) {
throw new Error('All tensors passed to tf.addN() must have the same dtype');
}
});
$tensors.forEach(t => {
if (!util.arraysEqual(t.shape, firstTensor.shape)) {
throw new Error('All tensors passed to tf.addN() must have the same shape');
}
});
const inputs = $tensors;
return ENGINE.runKernel(AddN, inputs);
}
export const addN = op({ addN_ });
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