@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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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 * as tf from '../index';
import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('addN', ALL_ENVS, () => {
it('a single tensor', async () => {
const res = tf.addN([tf.tensor1d([1, 2, 3])]);
expectArraysClose(await res.data(), [1, 2, 3]);
});
it('two tensors, int32', async () => {
const res = tf.addN([
tf.tensor1d([1, 2, -1], 'int32'),
tf.tensor1d([5, 3, 2], 'int32'),
]);
expectArraysClose(await res.data(), [6, 5, 1]);
expect(res.dtype).toBe('int32');
expect(res.shape).toEqual([3]);
});
it('three tensors', async () => {
const res = tf.addN([
tf.tensor1d([1, 2]),
tf.tensor1d([5, 3]),
tf.tensor1d([-5, -2]),
]);
expectArraysClose(await res.data(), [1, 3]);
expect(res.dtype).toBe('float32');
expect(res.shape).toEqual([2]);
});
it('accepts a tensor-like object', async () => {
const res = tf.addN([[1, 2], [3, 4]]);
expectArraysClose(await res.data(), [4, 6]);
expect(res.dtype).toBe('float32');
expect(res.shape).toEqual([2]);
});
it('list of numbers gets treated as a list of scalars', async () => {
const res = tf.addN([1, 2, 3, 4]);
expectArraysClose(await res.data(), [10]);
expect(res.dtype).toBe('float32');
expect(res.shape).toEqual([]);
});
it('errors if list is empty', () => {
expect(() => tf.addN([]))
.toThrowError(/Must pass at least one tensor to tf.addN\(\), but got 0/);
});
it('errors if argument is not an array', () => {
// tslint:disable-next-line:no-any
expect(() => tf.addN(tf.scalar(3)))
.toThrowError(/The argument passed to tf.addN\(\) must be a list of tensors/);
});
it('errors if arguments not of same dtype', () => {
expect(() => tf.addN([tf.scalar(1, 'int32'), tf.scalar(2, 'float32')]))
.toThrowError(/All tensors passed to tf.addN\(\) must have the same dtype/);
});
it('errors if arguments not of same shape', () => {
expect(() => tf.addN([tf.scalar(1), tf.tensor1d([2])]))
.toThrowError(/All tensors passed to tf.addN\(\) must have the same shape/);
});
});
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