@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @license
* Copyright 2017 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('relu6', ALL_ENVS, () => {
it('basic relu6', async () => {
const a = tf.tensor1d([1, -2, 0, 8, -0.1]);
const result = tf.relu6(a);
expectArraysClose(await result.data(), [1, 0, 0, 6, 0]);
});
it('gradients: relu6', async () => {
const a = tf.scalar(8);
const dy = tf.scalar(5);
const grad = tf.grad(a => tf.relu6(a));
const da = grad(a, dy);
expect(da.shape).toEqual(a.shape);
expect(da.dtype).toEqual('float32');
expectArraysClose(await da.data(), [0]);
});
it('gradients: relu6 array', async () => {
const a = tf.tensor2d([8, -1, 0, .1], [2, 2]);
const dy = tf.tensor2d([1, 2, 3, 4], [2, 2]);
const grad = tf.grad(a => tf.relu6(a));
const da = grad(a, dy);
expect(da.shape).toEqual(a.shape);
expect(da.dtype).toEqual('float32');
expectArraysClose(await da.data(), [0, 0, 0, 4]);
});
});
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