Error: Uncaught TypeError: Cannot read properties of undefined (reading ‘forEach’)
Cause: caused by the extension of Google browser
Solution 1: close the extension program of Google browser
Solution 2: find the wrong line and comment it out
Comment out the eighth line 
Just restart
For H5 projects published directly, http-server or anywhere -p
When you open it at this time, you will find that the page is as follows:
Solution: PlayerSetting->Player->Publishing Setting
Check DecomPression Fallback
It can work normally after being released at this time, but it is not full screen:
In the released H5 project, edit index.html file
Directly modify the style of canvas:
<canvas id="unity-canvas" style="width: 100%; height: 100%; background: #231F20"></canvas>Or insert code in <Script> :
var canvas = document.getElementById("#unity-canvas");
canvas.height = document.documentElement.clientHeight;
canvas.width = document.documentElement.clientWidth;
This can solve the problem, but it is troublesome to modify it manually after each release. Later, we will study the automatic processing during release.
Or there are other full-screen settings.
Environment configuration: torch 1.11.0 + CUDA 11.3 (latest)
Use mmdetection to infer:
from mmdet.apis import init_detector, inference_detectorErrors are reported as follows:
ImportError: /home/user/repos/mmdetection/mmdet/ops/dcn/deform_conv_cuda.cpython-37m-x86_64-linux-gnu.so: undefined symbol: _ZN6caffe26detail37_typeMetaDataInstance_preallocated_32E
The problem has been solved. The reason for the error is that the pytorch version is too new. Although openmmlab supports the latest version, it will still cause the error.
Solution:
Degrade the pytorch version to torch 1.6.0 + cu102, query the official GitHub of openmmlab, uninstall and reinstall mmcv 1.3.9, and re run the mmdetection code to solve the error.
Previously on
Although the mongodb server declares that this field can be stored
and the front-end page also carries the parameter
when sending a request like the node service, it cannot be stored in the database and an error is reported
Error prompt
When the server reports an error
adv_source_mock validation failed: mock: Path `mock` is required.
数据表名称 字段
Cause of error
I personally understand that the “mock” field is not declared in the node service
so the node service will not store the path without this field in the database and report an error
or he doesn’t know where it exists
Solution:
You can solve this problem by declaring line 92 of this field in data
Windows opens pycharm and reports an error: failed to load JVM DLL pycharmjbrinserverjvm.dll
JDK is downloaded and installed successfully, and environment variables are configured successfully
solution: Pycharm can be run as an administrator
Other methods are useless
1. Install Microsoft Visual C+ + 2010 redistributable package -> “there is a 2015 version in the computer
2. JDK version problem ->” verify that it is correct, and still report an error after downloading other configurations
3. Reinstall pycharm after installing JDK – “useless
4. Restart the computer -” useless
Solution: idea error: (15, 16) Java: package sun Misc does not exist or import sun misc. Base64decoder cannot be found
Solution:
file-> project Structure-> The original version of project is 11, and the modified version is 1.8. 
An error is reported when installing supervisor. The information is as follows
web:~# supervisorctl status
/usr/local/lib/python2.7/dist-packages/pkg_resources/py2_warn.py:22: UserWarning: Setuptools will stop working on Python 2
************************************************************
You are running Setuptools on Python 2, which is no longer
supported and
>>> SETUPTOOLS WILL STOP WORKING <<<
in a subsequent release (no sooner than 2020-04-20).
Please ensure you are installing
Setuptools using pip 9.x or later or pin to `setuptools<45`
in your environment.
If you have done those things and are still encountering
this message, please comment in
https://github.com/pypa/setuptools/issues/1458
about the steps that led to this unsupported combination.
************************************************************
sys.version_info < (3,) and warnings.warn(pre + "*" * 60 + msg + "*" * 60)
Solution:
uninstall and reinstall pip, setuptools and wheel to return them to the version corresponding to the system Python
python3 reference:
python3 -m pip uninstall pip setuptools wheel
sudo apt-get --reinstall install python3-setuptools python3-wheel python3-pip
Python2 reference:
python -m pip uninstall pip setuptools wheel
sudo apt-get --reinstall install python-setuptools python-wheel python-pip
Error reported by
pytroch when modifying the network:
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [1600, 16, 256]], which is output 0 of CudnnConvolutionBackward, is at version 1; expected version 0 instead
Solution 1:
Check all operations of the tensor that is reported as an error. If there is an addition or subtraction operation of x + = m, x = x + m, all operations shall be changed to the following format:
x = x.clone() + m
1.Problem with input() in Spyder 5.1.5 (Anaconda)
Reasons for incompatible Spyder versions and solutions:
1 Upgrade to (5.3.0)
2 If anaconda is not compatible with the latest version, you can only upgrade to 5.1.5, create a new environment conda-forge packages, and enter the following codes in Anaconda Prompt:
conda create -n spyder-cf -c conda-forge spyder conda activate spyder-cf pip install spyder==5.3.0
Solution:
Add skipLibCheck: true in tsconfig.json
Please refer to the configuration:
{
"compilerOptions": {
"target": "esnext",
"useDefineForClassFields": true,
"module": "esnext",
"moduleResolution": "node",
"strict": true,
"jsx": "preserve",
"sourceMap": true,
"resolveJsonModule": true,
"esModuleInterop": true,
"lib": ["esnext", "dom"],
"baseUrl": ".",
"paths": {
"@/*": ["src/*"]
},
"skipLibCheck": true
},
"include": ["src/**/*.ts", "src/**/*.d.ts", "src/**/*.tsx", "src/**/*.vue"]
}
package logstash-1:7.7.1-1.noarch is already installed
Uninstall reinstall
1. Query installation records
rpm -qa |grep logstash
2. Unload query results
yum -y remove logstash-7.7.1-1.noarch
3. Reinstall
rpm --install logstash-7.7.1.rpm