/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import * as tf from '../index';
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import { ALL_ENVS, describeWithFlags } from '../jasmine_util';
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import { expectArraysClose } from '../test_util';
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// Because euclidean is the default norm option, the norm_test covers
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// the tests for euclideanNorm. Here we basically just test the API
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// can be called correctly.
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describeWithFlags('euclideanNorm', ALL_ENVS, () => {
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it('vector euclidean norm', async () => {
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const a = tf.tensor1d([1, -2, 3, -4]);
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const result = tf.euclideanNorm(a);
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expect(result.dtype).toBe('float32');
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expectArraysClose(await result.data(), 5.4772);
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});
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});
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