/**

* @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();

});

it('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]);

});

});