@tensorflow/tfjs-core
Version:
Hardware-accelerated JavaScript library for machine intelligence
31 lines • 4.21 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 * as tf from '../index';
import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
// Because euclidean is the default norm option, the norm_test covers
// the tests for euclideanNorm. Here we basically just test the API
// can be called correctly.
describeWithFlags('euclideanNorm', ALL_ENVS, () => {
it('vector euclidean norm', async () => {
const a = tf.tensor1d([1, -2, 3, -4]);
const result = tf.euclideanNorm(a);
expect(result.dtype).toBe('float32');
expectArraysClose(await result.data(), 5.4772);
});
});
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