@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
101 lines • 4.11 kB
JavaScript
/**
* @license
* Copyright 2019 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, SYNC_BACKEND_ENVS } from './jasmine_util';
import { convertToTensor } from './tensor_util_env';
import { expectArraysClose } from './test_util';
describeWithFlags('debug on', SYNC_BACKEND_ENVS, () => {
beforeAll(() => {
// Silence debug warnings.
spyOn(console, 'warn');
tf.enableDebugMode();
});
it('debug mode does not error when no nans', async () => {
const a = tf.tensor1d([2, -1, 0, 3]);
const res = tf.relu(a);
expectArraysClose(await res.data(), [2, 0, 0, 3]);
});
it('debug mode errors when nans in tensor construction, float32', () => {
const a = () => tf.tensor1d([2, NaN], 'float32');
expect(a).toThrowError();
});
it('debug mode errors when nans in tensor construction, int32', () => {
const a = () => tf.tensor1d([2, NaN], 'int32');
expect(a).toThrowError();
});
it('debug mode errors when Infinity in tensor construction', () => {
const a = () => tf.tensor1d([2, Infinity], 'float32');
expect(a).toThrowError();
});
it('debug mode errors when nans in tensor created from TypedArray', () => {
const a = () => tf.tensor1d(new Float32Array([1, 2, NaN]), 'float32');
expect(a).toThrowError();
});
it('debug mode errors when infinities in op output', async () => {
const a = tf.tensor1d([1, 2, 3, 4]);
const b = tf.tensor1d([2, -1, 0, 3]);
const c = async () => {
const result = a.div(b);
// Must await result so we know exception would have happened by the
// time we call `expect`.
await result.data();
};
await c();
expect(console.warn).toHaveBeenCalled();
});
it('debug mode errors when nans in op output', async () => {
const a = tf.tensor1d([-1, 2]);
const b = tf.tensor1d([0.5, 1]);
const c = async () => {
const result = a.pow(b);
await result.data();
};
await c();
expect(console.warn).toHaveBeenCalled();
});
it('debug mode errors when nans in oneHot op (tensorlike), int32', () => {
const f = () => tf.oneHot([2, NaN], 3);
expect(f).toThrowError();
});
it('debug mode errors when nan in convertToTensor, int32', () => {
const a = () => convertToTensor(NaN, 'a', 'test', 'int32');
expect(a).toThrowError();
});
it('debug mode errors when nan in convertToTensor array input, int32', () => {
const a = () => convertToTensor([NaN], 'a', 'test', 'int32');
expect(a).toThrowError();
});
// tslint:disable-next-line: ban
xit('A x B', async () => {
const a = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
const b = tf.tensor2d([0, 1, -3, 2, 2, 1], [3, 2]);
const c = tf.matMul(a, b);
expect(c.shape).toEqual([2, 2]);
expectArraysClose(await c.data(), [0, 8, -3, 20]);
});
});
describeWithFlags('debug off', ALL_ENVS, () => {
beforeAll(() => {
tf.env().set('DEBUG', false);
});
it('no errors where there are nans, and debug mode is disabled', async () => {
const a = tf.tensor1d([2, NaN]);
const res = tf.relu(a);
expectArraysClose(await res.data(), [2, NaN]);
});
});
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