Solutions to errors in ipvsadm startup

Centos7 Yum – y install ipvadm. After installing, start ipvsadm with an error.



 # systemctl status ipvsadm. Service  finally, I see a reliable solution. Manually generate this file:


ipvsadm --save > /etc/sysconfig/ipvsadm


Service ipvsadm start – confirm



					

		
		
	

							
	

				

			
						

				Git report HTTP Basic: Access denied
			

								


				

			


Recently, when submitting code on the company intranet using git, the following error message was encountered:


remote: HTTP Basic: Access denied
fatal: Authentication failed for 'http://dev.xxxxx/gitlab/XXXX.git/'



1、 Error reason


The reason for this error is an error in the verification of  user name  or  password .


I have changed the configuration under the. SSH file  before, but the verification is not successful.


2、 Settle


Find the corresponding project directory, execute the following git command, and re-enter the account and password


git config --system --unset credential.helper




                

					

		
		
	

							
	

				

			
						

				An error is reported when uploading a file using commonsmultipartfile
			

								


				

			


Handler dispatch failed;  nested exception is java.lang.NoClassDefFoundError: org/apache/commons/io/output/DeferredFileOutputStream


An error is reported when uploading a file using commonsmultipartfile. The error is due to the following reasons: the corresponding jar package of Commons IO is missing


The solution is to import the dependencies of Commons IO in POM. Update the classes jar package and import it successfully


Just run the program


An error is reported when uploading a file using commonsmultipartfile


Errors are reported as follows


HTTP status 500 – internal server error


Type exception report


Message handler dispatch failed; nested exception is java.lang.NoClassDefFoundError: org/apache/commons/io/output/DeferredFileOutputStream 


Description the server encountered an unexpected condition that prevented it from completing the request.


Exceptions


org.springframework.web.util.NestedServletException: Handler dispatch failed;  nested exception is java.lang.NoClassDefFoundError: org/apache/commons/io/output/DeferredFileOutputStream
 org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:1006)
 org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:925)
 org.springframework.web.servlet.FrameworkServlet.proc essRequest(FrameworkServlet.java:974)
 org.springframework.web.servlet.FrameworkServlet.doPost(FrameworkServlet.java:877)
 javax.servlet.http.HttpServlet.service(HttpServlet.java:681)
 org.springframework.web.servlet.FrameworkServlet.service(FrameworkServlet.java:851)
 javax.servlet.http.HttpServlet.service(HttpServlet.java:764)
 or g.apache.tomcat.websocket.server.WsFilter.doFilter(WsFilter.java:52) 


reason


The corresponding jar package of Commons IO is missing


 


terms of settlement


Import common IO dependency in POM


 


Update the classes


 


The jar package was imported successfully


Just run the program



					

		
		
	

							
	

				

			
						

				GPY installation error: ERROR: Could not find a version that satisfies the requirement scipy…
			

								


				

			


The following error occurs when installing GPY with PIP


ERROR: Could not find a version that satisfies the requirement scipy<1.5.0,>=1.3.0 (from GPy) (from versions: 0.8.0, 0.9.0, 0.10.0, 0.10.1, 0.11.0, 0.12.0, 0.12.1, 0.13.0, 0.13.1, 0.13.2, 0.13.3, 0.14.0, 0.14.1, 0.15.0, 0.15.1, 0.16.0, 0.16.1, 0.17.0, 0.17.1, 0.18.0, 0.18.1, 0.19.0, 0.19.1, 1.0.0b1, 1.0.0rc1, 1.0.0rc2, 1.0.0, 1.0.1, 1.1.0rc1, 1.1.0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3)
ERROR: No matching distribution found for scipy<1.5.0,>=1.3.0 (from GPy)



Solution: use PIP3


pip3 install GPy




					

		
		
	

							
	

				

			
						

				How to Solve Nosuchmethoderror Error
			

								


				

			
1. reason

this error may be triggered when the project dependency is complex, there is a problem with the Java running environment, or there are different versions of the same type of jar package. In essence, the JVM cannot find a specific method of a class, that is, the JVM loads the wrong version of the class. To put it bluntly, the JVM can’t find the method it really wants to call! There are two main situations in which this error occurs:


Imported mismatched package version

the development environment is inconsistent with the running environment


2. solutions

check “external libraries” to see whether the error reporting method exists. If it does not exist, there must be a problem with the package. Just update the package; If it exists, it indicates that the package has been successfully introduced, but the integrated development environment may not be synchronized to. You can try to force the update. In addition, you can check whether the development environment is consistent with the running environment. If not, modify it.


3. special reminder

in case of Maven project, there are two main methods in the process of updating the package:


Go to the local Maven warehouse, delete the corresponding package, and then click refresh in “Maven project”

directly enter the command in the command line of “Maven project” to force the update

among them, method 1 is not reliable, and the operation may not be successful. The reason is unknown. Method 2 is strongly recommended. Nothing else, reliable!

					

		
		
	

							
	
							
	

				

			
						

				[Solved] `handle_argument_error‘: ERROR: “rails console“ was called with arguments [“production“]
			

								


				

			


 


Problem background


An error occurs when gitlab modifies the root password:


`handle_ argument_ error’: ERROR: “rails console” was called with arguments [“production”] (Thor::InvocationError)


As shown in the figure:




Note that the following prompt: Usage: “rails console [options]” is incorrect




Change password normally


There are only two parameters in total. After trying, the correct instruction is as follows:


gitlab-rails console -e production




be accomplished!



					

		
		
	

							
	

				

			
						

				[Solved] Temporary error: Error: spawn E:\vue3-vite\my-app\node_modules\esbuild\esbuild.exe ENOENT
			

								


				

			


PS E:\vue3-vite\my-app> npm run dev

> [email protected] dev
> vite

events.js:292
      throw er; // Unhandled 'error' event
      ^

Error: spawn E:\vue3-vite\my-app\node_modules\esbuild\esbuild.exe ENOENT
    at Process.ChildProcess._handle.onexit (internal/child_process.js:267:19)
    at onErrorNT (internal/child_process.js:469:16)
    at processTicksAndRejections (internal/process/task_queues.js:84:21)
Emitted 'error' event on ChildProcess instance at:
    at Process.ChildProcess._handle.onexit (internal/child_process.js:273:12)
    at onErrorNT (internal/child_process.js:469:16)
    at processTicksAndRejections (internal/process/task_queues.js:84:21) {
  errno: 'ENOENT',
  code: 'ENOENT',
  syscall: 'spawn E:\\vue3-vite\\my-app\\node_modules\\esbuild\\esbuild.exe',
  path: 'E:\\vue3-vite\\my-app\\node_modules\\esbuild\\esbuild.exe',
  spawnargs: [ '--service=0.12.22', '--ping' ]
}
npm ERR! code 1
npm ERR! path E:\vue3-vite\my-app
npm ERR! command failed
npm ERR! command C:\Windows\system32\cmd.exe /d /s /c vite

npm ERR! A complete log of this run can be found in:
npm ERR!     D:\node\node_cache\_logs\2021-08-26T02_24_14_376Z-debug.log


Solution: node node_modules/esbuild/install.js


PS E:\vue3-vite\my-app> node node_modules/esbuild/install.js
PS E:\vue3-vite\my-app> npm run dev

> [email protected] dev
> vite

Pre-bundling dependencies:
  vue
(this will be run only when your dependencies or config have changed)

  vite v2.5.1 dev server running at:

  > Local: http://localhost:3000/
  > Network: use `--host` to expose

  ready in 1645ms.





					

		
		
	

							
	

				

			
						

				[Solved] Error Mixed spaces and tabs no-mixed-spaces-and-tabs
			

								


				

			


 "extensions": "eslint: Recommended"  the attribute in the configuration file enables this rule.


Most code conventions require tabs or spaces for indentation. Therefore, if a single line code is indented with tabs and spaces, an error usually occurs.


This rule does not allow indenting with mixed spaces and tabs.


Example of error code for this rule:


/*eslint no-mixed-spaces-and-tabs: "error"*/

function add(x, y) {
// --->..return x + y;

      return x + y;
}

function main() {
// --->var x = 5,
// --->....y = 7;

    var x = 5,
        y = 7;
}


Example of the correct code for this rule:


/*eslint no-mixed-spaces-and-tabs: "error"*/

function add(x, y) {
// --->return x + y;
    return x + y;
}


This rule has a string option.


 "smart tabs"  when the latter is used for alignment, it is allowed to mix space and labels.


Smart tag


The correct code example for this rule includes the following  "smart tabs"  Options:


/*eslint no-mixed-spaces-and-tabs: ["error", "smart-tabs"]*/

function main() {
// --->var x = 5,
// --->....y = 7;

    var x = 5,
        y = 7;
}


Add this line:


/*eslint no-mixed-spaces-and-tabs: [“error”, “smart-tabs”]*/



<template>
	<comp-setup>
		
	</comp-setup>
</template>

<script>
/*eslint no-mixed-spaces-and-tabs: ["error", "smart-tabs"]*/
import CompSetup from './components/setupview'
export default {
  name: 'App',
  components: {
	  CompSetup,
  }
}
</script>

<style>

</style>


					

		
		
	

							
	

				

			
						

				[Solved] Error: Failed to download metadata for repo ‘docker-ce-stable‘: Cannot download repomd.xml:
			

								


				

			


When installing docker, an error message appears (on alicloud server):


Error: Failed to download metadata for repo ‘docker-ce-stable’: Cannot

download repomd.xml: Cannot download repodata/repomd.xml: All mirrors

were triedError: Failed to download metadata for repo

‘docker-ce-stable’: Cannot download repomd.xml: Cannot download

repodata/repomd.xml: All mirrors were tried


Solution:


Here, my work is done on the alicloud server. There are some small problems. According to the alicloud official website, you need to make some minor modifications to your docker-ce.repo


Change the $releasever variable to 7





					

		
		
	

							
	

				

			
						

				Yolox_s.pth Convert to tensorRT Error: AttributeError: ‘tensorrt.tensorrt.Builder‘ object has no attribute ‘max_workspace_size‘
			

								


				

			




yolox_s.pth to tensorRT Error




python tools/trt.py -n yolox-s -c preModels/yolox_s.pth error:



2021-08-26 06:47:14.864 | INFO     | __main__:main:52 - loaded checkpoint done.
[TensorRT] INFO: [MemUsageChange] Init CUDA: CPU +300, GPU +0, now: CPU 1889, GPU 970 (MiB)
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
2021-08-26 06:47:21.311 | ERROR    | __main__:<module>:77 - An error has been caught in function '<module>', process 'MainProcess' (12166), thread 'MainThread' (140257983133504):
Traceback (most recent call last):

> File "tools/trt.py", line 77, in <module>
    main()
    └ <function main at 0x7f8f9f310950>

  File "tools/trt.py", line 62, in main
    max_workspace_size=(1 << 32),

  File "/home/moli/anaconda3/envs/tf25/lib/python3.7/site-packages/torch2trt-0.3.0-py3.7.egg/torch2trt/torch2trt.py", line 558, in torch2trt
    builder.max_workspace_size = max_workspace_size
    │                            └ 4294967296
    └ <tensorrt.tensorrt.Builder object at 0x7f8f94a50970>

AttributeError: 'tensorrt.tensorrt.Builder' object has no attribute 'max_workspace_size'




The solution to this problem is to reduce the version of NVIDIA tensorrt [2021-8-27]

reference link: https://github.com/NVIDIA-AI-IOT/torch2trt/issues/557


pip install nvidia-tensorrt==7.2.* --index-url https://pypi.ngc.nvidia.com




Finally, with the following command, the model conversion was successful. It took 10 minutes, which was outrageous



python tools/trt.py -n yolox-s -c preModels/yolox_s.pth


`0   N/A  N/A      7491      C   python                           6491MiB `

## output:

cuda :  True
2021-08-27 04:09:41.895 | INFO     | __main__:main:57 - loaded checkpoint done.
[TensorRT] WARNING: Tensor DataType is determined at build time for tensors not marked as input or output.
[TensorRT] INFO: Some tactics do not have sufficient workspace memory to run. Increasing workspace size may increase performance, please check verbose output.
[TensorRT] INFO: Detected 1 inputs and 1 output network tensors.
2021-08-27 04:17:33.106 | INFO     | __main__:main:70 - Converted TensorRT model done.
2021-08-27 04:17:33.286 | INFO     | __main__:main:78 - Converted TensorRT model engine file is saved for C++ inference.





Conversion model default path: yolox_ outputs/yolox_ s/


 ll YOLOX_outputs/yolox_s/
 
total 52348

22065949 Aug 27 04:17 model_trt.engine
31524975 Aug 27 04:17 model_trt.pth