Author Archives: Robins

[Solved] Using summary to View network parameters Error: RuntimeError: Input type (torch.cuda.FloatTensor)

Use summary to view network parameters

If you need to view the specific parameters of the network, use the use summary

from torchsummary import summary
summary(model, (3, 448, 448))

Show results

        Layer (type)               Output Shape         Param #
================================================================
            Conv2d-1         [-1, 64, 224, 224]           9,408
       BatchNorm2d-2         [-1, 64, 224, 224]             128
              ReLU-3         [-1, 64, 224, 224]               0
         MaxPool2d-4         [-1, 64, 112, 112]               0
            Conv2d-5         [-1, 64, 112, 112]           4,096
       BatchNorm2d-6         [-1, 64, 112, 112]             128
              ReLU-7         [-1, 64, 112, 112]               0
            Conv2d-8         [-1, 64, 112, 112]          36,864
       BatchNorm2d-9         [-1, 64, 112, 112]             128
             ReLU-10         [-1, 64, 112, 112]               0
           Conv2d-11        [-1, 256, 112, 112]          16,384
      BatchNorm2d-12        [-1, 256, 112, 112]             512
           Conv2d-13        [-1, 256, 112, 112]          16,384
      BatchNorm2d-14        [-1, 256, 112, 112]             512
             ReLU-15        [-1, 256, 112, 112]               0
       Bottleneck-16        [-1, 256, 112, 112]               0
           Conv2d-17         [-1, 64, 112, 112]          16,384
      BatchNorm2d-18         [-1, 64, 112, 112]             128
             ReLU-19         [-1, 64, 112, 112]               0
           Conv2d-20         [-1, 64, 112, 112]          36,864
      BatchNorm2d-21         [-1, 64, 112, 112]             128
             ReLU-22         [-1, 64, 112, 112]               0
           Conv2d-23        [-1, 256, 112, 112]          16,384
      BatchNorm2d-24        [-1, 256, 112, 112]             512
             ReLU-25        [-1, 256, 112, 112]               0
       Bottleneck-26        [-1, 256, 112, 112]               0
           Conv2d-27         [-1, 64, 112, 112]          16,384
      BatchNorm2d-28         [-1, 64, 112, 112]             128
             ReLU-29         [-1, 64, 112, 112]               0
           Conv2d-30         [-1, 64, 112, 112]          36,864
      BatchNorm2d-31         [-1, 64, 112, 112]             128
             ReLU-32         [-1, 64, 112, 112]               0
           Conv2d-33        [-1, 256, 112, 112]          16,384
      BatchNorm2d-34        [-1, 256, 112, 112]             512
             ReLU-35        [-1, 256, 112, 112]               0
       Bottleneck-36        [-1, 256, 112, 112]               0
           Conv2d-37        [-1, 128, 112, 112]          32,768
      BatchNorm2d-38        [-1, 128, 112, 112]             256
             ReLU-39        [-1, 128, 112, 112]               0
           Conv2d-40          [-1, 128, 56, 56]         147,456
      BatchNorm2d-41          [-1, 128, 56, 56]             256
             ReLU-42          [-1, 128, 56, 56]               0
           Conv2d-43          [-1, 512, 56, 56]          65,536
      BatchNorm2d-44          [-1, 512, 56, 56]           1,024
           Conv2d-45          [-1, 512, 56, 56]         131,072
      BatchNorm2d-46          [-1, 512, 56, 56]           1,024
             ReLU-47          [-1, 512, 56, 56]               0
       Bottleneck-48          [-1, 512, 56, 56]               0
           Conv2d-49          [-1, 128, 56, 56]          65,536
      BatchNorm2d-50          [-1, 128, 56, 56]             256
             ReLU-51          [-1, 128, 56, 56]               0
           Conv2d-52          [-1, 128, 56, 56]         147,456
      BatchNorm2d-53          [-1, 128, 56, 56]             256
             ReLU-54          [-1, 128, 56, 56]               0
           Conv2d-55          [-1, 512, 56, 56]          65,536
      BatchNorm2d-56          [-1, 512, 56, 56]           1,024
             ReLU-57          [-1, 512, 56, 56]               0
       Bottleneck-58          [-1, 512, 56, 56]               0
           Conv2d-59          [-1, 128, 56, 56]          65,536
      BatchNorm2d-60          [-1, 128, 56, 56]             256
             ReLU-61          [-1, 128, 56, 56]               0
           Conv2d-62          [-1, 128, 56, 56]         147,456
      BatchNorm2d-63          [-1, 128, 56, 56]             256
             ReLU-64          [-1, 128, 56, 56]               0
           Conv2d-65          [-1, 512, 56, 56]          65,536
      BatchNorm2d-66          [-1, 512, 56, 56]           1,024
             ReLU-67          [-1, 512, 56, 56]               0
       Bottleneck-68          [-1, 512, 56, 56]               0
           Conv2d-69          [-1, 128, 56, 56]          65,536
      BatchNorm2d-70          [-1, 128, 56, 56]             256
             ReLU-71          [-1, 128, 56, 56]               0
           Conv2d-72          [-1, 128, 56, 56]         147,456
      BatchNorm2d-73          [-1, 128, 56, 56]             256
             ReLU-74          [-1, 128, 56, 56]               0
           Conv2d-75          [-1, 512, 56, 56]          65,536
      BatchNorm2d-76          [-1, 512, 56, 56]           1,024
             ReLU-77          [-1, 512, 56, 56]               0
       Bottleneck-78          [-1, 512, 56, 56]               0
           Conv2d-79          [-1, 256, 56, 56]         131,072
      BatchNorm2d-80          [-1, 256, 56, 56]             512
             ReLU-81          [-1, 256, 56, 56]               0
           Conv2d-82          [-1, 256, 28, 28]         589,824
      BatchNorm2d-83          [-1, 256, 28, 28]             512
             ReLU-84          [-1, 256, 28, 28]               0
           Conv2d-85         [-1, 1024, 28, 28]         262,144
      BatchNorm2d-86         [-1, 1024, 28, 28]           2,048
           Conv2d-87         [-1, 1024, 28, 28]         524,288
      BatchNorm2d-88         [-1, 1024, 28, 28]           2,048
             ReLU-89         [-1, 1024, 28, 28]               0
       Bottleneck-90         [-1, 1024, 28, 28]               0
           Conv2d-91          [-1, 256, 28, 28]         262,144
      BatchNorm2d-92          [-1, 256, 28, 28]             512
             ReLU-93          [-1, 256, 28, 28]               0
           Conv2d-94          [-1, 256, 28, 28]         589,824
      BatchNorm2d-95          [-1, 256, 28, 28]             512
             ReLU-96          [-1, 256, 28, 28]               0
           Conv2d-97         [-1, 1024, 28, 28]         262,144
      BatchNorm2d-98         [-1, 1024, 28, 28]           2,048
             ReLU-99         [-1, 1024, 28, 28]               0
      Bottleneck-100         [-1, 1024, 28, 28]               0
          Conv2d-101          [-1, 256, 28, 28]         262,144
     BatchNorm2d-102          [-1, 256, 28, 28]             512
            ReLU-103          [-1, 256, 28, 28]               0
          Conv2d-104          [-1, 256, 28, 28]         589,824
     BatchNorm2d-105          [-1, 256, 28, 28]             512
            ReLU-106          [-1, 256, 28, 28]               0
          Conv2d-107         [-1, 1024, 28, 28]         262,144
     BatchNorm2d-108         [-1, 1024, 28, 28]           2,048
            ReLU-109         [-1, 1024, 28, 28]               0
      Bottleneck-110         [-1, 1024, 28, 28]               0
          Conv2d-111          [-1, 256, 28, 28]         262,144
     BatchNorm2d-112          [-1, 256, 28, 28]             512
            ReLU-113          [-1, 256, 28, 28]               0
          Conv2d-114          [-1, 256, 28, 28]         589,824
     BatchNorm2d-115          [-1, 256, 28, 28]             512
            ReLU-116          [-1, 256, 28, 28]               0
          Conv2d-117         [-1, 1024, 28, 28]         262,144
     BatchNorm2d-118         [-1, 1024, 28, 28]           2,048
            ReLU-119         [-1, 1024, 28, 28]               0
      Bottleneck-120         [-1, 1024, 28, 28]               0
          Conv2d-121          [-1, 256, 28, 28]         262,144
     BatchNorm2d-122          [-1, 256, 28, 28]             512
            ReLU-123          [-1, 256, 28, 28]               0
          Conv2d-124          [-1, 256, 28, 28]         589,824
     BatchNorm2d-125          [-1, 256, 28, 28]             512
            ReLU-126          [-1, 256, 28, 28]               0
          Conv2d-127         [-1, 1024, 28, 28]         262,144
     BatchNorm2d-128         [-1, 1024, 28, 28]           2,048
            ReLU-129         [-1, 1024, 28, 28]               0
      Bottleneck-130         [-1, 1024, 28, 28]               0
          Conv2d-131          [-1, 256, 28, 28]         262,144
     BatchNorm2d-132          [-1, 256, 28, 28]             512
            ReLU-133          [-1, 256, 28, 28]               0
          Conv2d-134          [-1, 256, 28, 28]         589,824
     BatchNorm2d-135          [-1, 256, 28, 28]             512
            ReLU-136          [-1, 256, 28, 28]               0
          Conv2d-137         [-1, 1024, 28, 28]         262,144
     BatchNorm2d-138         [-1, 1024, 28, 28]           2,048
            ReLU-139         [-1, 1024, 28, 28]               0
      Bottleneck-140         [-1, 1024, 28, 28]               0
          Conv2d-141          [-1, 512, 28, 28]         524,288
     BatchNorm2d-142          [-1, 512, 28, 28]           1,024
            ReLU-143          [-1, 512, 28, 28]               0
          Conv2d-144          [-1, 512, 14, 14]       2,359,296
     BatchNorm2d-145          [-1, 512, 14, 14]           1,024
            ReLU-146          [-1, 512, 14, 14]               0
          Conv2d-147         [-1, 2048, 14, 14]       1,048,576
     BatchNorm2d-148         [-1, 2048, 14, 14]           4,096
          Conv2d-149         [-1, 2048, 14, 14]       2,097,152
     BatchNorm2d-150         [-1, 2048, 14, 14]           4,096
            ReLU-151         [-1, 2048, 14, 14]               0
      Bottleneck-152         [-1, 2048, 14, 14]               0
          Conv2d-153          [-1, 512, 14, 14]       1,048,576
     BatchNorm2d-154          [-1, 512, 14, 14]           1,024
            ReLU-155          [-1, 512, 14, 14]               0
          Conv2d-156          [-1, 512, 14, 14]       2,359,296
     BatchNorm2d-157          [-1, 512, 14, 14]           1,024
            ReLU-158          [-1, 512, 14, 14]               0
          Conv2d-159         [-1, 2048, 14, 14]       1,048,576
     BatchNorm2d-160         [-1, 2048, 14, 14]           4,096
            ReLU-161         [-1, 2048, 14, 14]               0
      Bottleneck-162         [-1, 2048, 14, 14]               0
          Conv2d-163          [-1, 512, 14, 14]       1,048,576
     BatchNorm2d-164          [-1, 512, 14, 14]           1,024
            ReLU-165          [-1, 512, 14, 14]               0
          Conv2d-166          [-1, 512, 14, 14]       2,359,296
     BatchNorm2d-167          [-1, 512, 14, 14]           1,024
            ReLU-168          [-1, 512, 14, 14]               0
          Conv2d-169         [-1, 2048, 14, 14]       1,048,576
     BatchNorm2d-170         [-1, 2048, 14, 14]           4,096
            ReLU-171         [-1, 2048, 14, 14]               0
      Bottleneck-172         [-1, 2048, 14, 14]               0
          Conv2d-173          [-1, 256, 14, 14]         524,288
     BatchNorm2d-174          [-1, 256, 14, 14]             512
          Conv2d-175          [-1, 256, 14, 14]         589,824
     BatchNorm2d-176          [-1, 256, 14, 14]             512
          Conv2d-177          [-1, 256, 14, 14]          65,536
     BatchNorm2d-178          [-1, 256, 14, 14]             512
          Conv2d-179          [-1, 256, 14, 14]         524,288
     BatchNorm2d-180          [-1, 256, 14, 14]             512
detnet_bottleneck-181          [-1, 256, 14, 14]               0
          Conv2d-182          [-1, 256, 14, 14]          65,536
     BatchNorm2d-183          [-1, 256, 14, 14]             512
          Conv2d-184          [-1, 256, 14, 14]         589,824
     BatchNorm2d-185          [-1, 256, 14, 14]             512
     BatchNorm2d-197           [-1, 30, 14, 14]              60
================================================================

Error reported:

RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same

Run the model in the graphics card:

from torchsummary import summary
summary(net.cuda(), (3, 448, 448))

[Solved] Error in Summary.factor ‘sum’ not meaningful for factors

 

Question:

The root cause is the wrong data type.

The factor type has no sum method

#create a vector of class vector
factor_vector <- as.factor(c(1, 7, 12, 14, 15))

#attempt to find min value in the vector
sum(factor_vector)

Error in Summary.factor(1:5, na.rm = FALSE) : 
  ‘sum’ not meaningful for factors

Solution:
Convert to numeric values and use the as.numeric function.
mydata$value<-as.numeric(mydata$value)
is.numeric(mydata$value)

#convert factor vector to numeric vector and find the min value
new_vector <- as.numeric(as.character(factor_vector))
sum(new_vector)

#[1] 49

Complete error:

#create a vector of class vector
factor_vector <- as.factor(c(1, 7, 12, 14, 15))

#attempt to find min value in the vector
sum(factor_vector)

Error in Summary.factor(1:5, na.rm = FALSE) : 
  ‘sum’ not meaningful for factors

Other (the minimum value can be obtained for numeric value, string and date type)

Numeric value, string and date type can all be maximized. Similarly, the maximum value can be obtained.

numeric_vector <- c(1, 2, 12, 14)
max(numeric_vector)

#[1] 14

character_vector <- c("a", "b", "f")
max(character_vector)

#[1] "f"

date_vector <- as.Date(c("2019-01-01", "2019-03-05", "2019-03-04"))
max(date_vector)

#[1] "2019-03-05"

The R language is called R partly because of the names of the two R authors (Robert gentleman and Ross ihaka) and partly because of the influence of Bell Labs s language (called the dialect of s language).

R language is a mathematical programming language designed for mathematical researchers. It is mainly used for statistical analysis, drawing and data mining.

If you are a beginner of computer programs and are eager to understand the general programming of computers, R language is not an ideal choice. You can choose python, C or Java.

Both R language and C language are the research achievements of Bell Laboratories, but they have different emphasis areas. R language is an explanatory language for mathematical theory researchers, while C language is designed for computer software engineers.

R language is a language for interpretation and operation (different from the compilation and operation of C language). Its execution speed is much slower than that of C language, which is not conducive to optimization. However, it provides more abundant data structure operation at the syntax level and can easily output text and graphic information, so it is widely used in mathematics, especially in statistics

RabbitMQ:[error] Error when reading /Users/sixcandy/.erlang.cookie: eacces

RabbitMQ:[error] Error when reading /Users/sixcandy/.erlang.cookie: eacces

[error] Error when reading /Users/sixcandy/.erlang. cookie: eacces

Problem Description:

Enter the command in the MAC terminal: rabbitmqctl list_ users

Then It began to report mistakes crazily!

I feel that I have no permission, so I try to add sudo in front!

sudo rabbitmqctl list_users

success!

[Solved] vcpkg Error: Error: Could not detect vcpkg-root.

Phenomenon

When transferring vcpkg from CentOS 8 to CentOS virtual machine through SCP, the above error is always reported when running vcpkg

Root cause

The Linux environment needs to add the system variable $VCPKG_ROOT

Solution:

vim ~/. bash_profile

Add a line:

export VCPKG_ROOT=”/home/devuser1/vcpkg”

Change the directory to your directory

Close the shell, reconnect, and everything is OK

verification

[root@localhost vcpkg]# ./vcpkg list
abseil:x64-linux                                   2021-03-24#1     an open-source collection designed to augment th...
amqpcpp:x64-linux                                  4.3.11           AMQP-CPP is a C++ library for communicating with..

[Solved] hadoop-2.7.1 Error: Error Cannot find configuration directory etchadoop

Since the configuration is hadoop-2.7.1, it will be found later during startup

The terminal executes./start yarn sh
starting yarn daemons
Error: Cannot find configuration directory: /etc/hadoop
Error: Cannot find configuration directory: /etc/hadoop

This is the reason why the directory cannot be found. You can find the solution by reading the corresponding shell script~

Solution:

Configures the directory where a Hadoop configuration file is located in hadoop-env.sh (codes as below):

export HADOOP_CONF_DIR=/opt/hadoop-2.7.1/etc/hadoop/

Execute command

source  hadoop-env.sh

[Solved] WebPack Error: Watchpack Error (watcher): Error: ENOSPC: System limit for number of file watchers reache

The following error occurs when the Vue project runs the NPM run serve command in the deepin20 system environment: (webpack error: watchpack error (watcher): error: enospc: system limit for number of file watchers reach)

Cause analysis: the limitation of Linux system causes this error!

Solution:

The problem can be solved by executing the following commands on the terminal:

echo fs.inotify.max_user_watches=524288 | sudo tee -a /etc/sysctl.conf && sudo sysctl -p
sudo sysctl --system

[Solved] Error in Summary.factor ‘max’ not meaningful for factors

Question:

The root cause is the wrong data type.

The factor type has no max method

#create a vector of class vector
factor_vector <- as.factor(c(1, 7, 12, 14, 15))

#attempt to find max value in the vector
max(factor_vector)

#Error in Summary.factor(1:5, na.rm = FALSE) : 
#  'max' not meaningful for factors

Solution:

Convert to numeric value or string, here convert to numeric value.

mydata$value<-as.numeric(mydata$value)
is.numeric(mydata$value)

#convert factor vector to numeric vector and find the max value
new_vector <- as.numeric(as.character(factor_vector))
max(new_vector)

#[1] 15

Full error:

#create a vector of class vector
factor_vector <- as.factor(c(1, 7, 12, 14, 15))

#attempt to find max value in the vector
max(factor_vector)

#Error in Summary.factor(1:5, na.rm = FALSE) : 
#  'max' not meaningful for factors

 

Other (numeric value, string, date type can be the maximum value)

Numeric value, string and date type can all be the maximum value, and similarly, the minimum value can be obtained.

numeric_vector <- c(1, 2, 12, 14)
max(numeric_vector)

#[1] 14

character_vector <- c("a", "b", "f")
max(character_vector)

#[1] "f"

date_vector <- as.Date(c("2019-01-01", "2019-03-05", "2019-03-04"))
max(date_vector)

#[1] "2019-03-05"

[ncclUnhandledCudaError] unhandled cuda error, NCCL version xx.x.x

Problem description

Problems encountered during distributed training

RuntimeError: NCCL error in: ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:47, unhandled cuda error, NCCL version 21.0.3
ncclUnhandledCudaError: Call to CUDA function failed.

The specific errors are as follows:

 

Problem-solving

According to the analysis of error reporting information, an error is reported during initialization during distributed training, not during training. Therefore, the problem is located on the initialization of distributed training.

Enter the following command to check the card of the current server

nvidia-smi -L

The first card found is 3070

GPU 0: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 1: NVIDIA GeForce RTX 3070 (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 2: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 3: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 4: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 5: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 6: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)
GPU 7: NVIDIA GeForce RTX 2080 Ti (UUID: xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx)

Therefore, here I directly try to use 2-7 cards for training.

Correct solution!

[Solved] unhandled error during execution of watcher callback

report errors

unhandled error during execution of watcher callback

analysis

When drawing data with the Echorts icon, an error is reported: unhandled error during execution of watcher callback. The reason for the prompt is that the Echorts chart is rendered before the data is obtained in the current year, which results in the chart cannot being displayed and an error being reported

Solution:

Before data rendering, make a non-empty judgment
for example:

if(value){
	Start rendering data
}

or

if(value !== undefined){
	Start rendering data
}

[Solved] java Internal error in the mapping processor java.lang.NullPointerException

Error Messages:

java: Internal error in the mapping processor: java.lang.NullPointerException  	
at org.mapstruct.ap.internal.processor.DefaultVersionInformation.createManifestUrl(DefaultVersionInformation.java:182)  	
at org.mapstruct.ap.internal.processor.DefaultVersionInformation.openManifest(DefaultVersionInformation.java:153)  	
at org.mapstruct.ap.internal.processor.DefaultVersionInformation.getLibraryName(DefaultVersionInformation.java:129)  	
at org.mapstruct.ap.internal.processor.DefaultVersionInformation.getCompiler(DefaultVersionInformation.java:122)  	
at org.mapstruct.ap.internal.processor.DefaultVersionInformation.fromProcessingEnvironment(DefaultVersionInformation.java:95)  	
at org.mapstruct.ap.internal.processor.DefaultModelElementProcessorContext.<init>(DefaultModelElementProcessorContext.java:50)  
at org.mapstruct.ap.MappingProcessor.processMapperElements(MappingProcessor.java:218)  	
at org.mapstruct.ap.MappingProcessor.process(MappingProcessor.java:156)  	
at org.jetbrains.jps.javac.APIWrappers$ProcessorWrapper.process(APIWrappers.java:109)  	
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)  	
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)  	
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)  	
at java.lang.reflect.Method.invoke(Method.java:498)  	
at org.jetbrains.jps.javac.APIWrappers$1.invoke(APIWrappers.java:213)  	
at org.mapstruct.ap.MappingProcessor.process(Unknown Source)  	
at com.sun.tools.javac.processing.JavacProcessingEnvironment.callProcessor(JavacProcessingEnvironment.java:794)  	
at com.sun.tools.javac.processing.JavacProcessingEnvironment.discoverAndRunProcs(JavacProcessingEnvironment.java:705)  
at com.sun.tools.javac.processing.JavacProcessingEnvironment.access$1800(JavacProcessingEnvironment.java:91)  	
at com.sun.tools.javac.processing.JavacProcessingEnvironment$Round.run(JavacProcessingEnvironment.java:1035)  	
at com.sun.tools.javac.processing.JavacProcessingEnvironment.doProcessing(JavacProcessingEnvironment.java:1176)  	
at com.sun.tools.javac.main.JavaCompiler.processAnnotations(JavaCompiler.java:1170)  	
at com.sun.tools.javac.main.JavaCompiler.compile(JavaCompiler.java:856)  	
at com.sun.tools.javac.main.Main.compile(Main.java:523)  	
at com.sun.tools.javac.api.JavacTaskImpl.doCall(JavacTaskImpl.java:129)  	
at com.sun.tools.javac.api.JavacTaskImpl.call(JavacTaskImpl.java:138)  	
at org.jetbrains.jps.javac.JavacMain.compile(JavacMain.java:231)  	
at org.jetbrains.jps.incremental.java.JavaBuilder.compileJava(JavaBuilder.java:501)  	
at org.jetbrains.jps.incremental.java.JavaBuilder.compile(JavaBuilder.java:353)  	
at org.jetbrains.jps.incremental.java.JavaBuilder.doBuild(JavaBuilder.java:277)  	
at org.jetbrains.jps.incremental.java.JavaBuilder.build(JavaBuilder.java:231)  	
at org.jetbrains.jps.incremental.IncProjectBuilder.runModuleLevelBuilders(IncProjectBuilder.java:1441)  	
at org.jetbrains.jps.incremental.IncProjectBuilder.runBuildersForChunk(IncProjectBuilder.java:1100)  	at org.jetbrains.jps.incremental.IncProjectBuilder.buildTargetsChunk(IncProjectBuilder.java:1224)  	at org.jetbrains.jps.incremental.IncProjectBuilder.buildChunkIfAffected(IncProjectBuilder.java:1066)  	at org.jetbrains.jps.incremental.IncProjectBuilder.buildChunks(IncProjectBuilder.java:832)  	at org.jetbrains.jps.incremental.IncProjectBuilder.runBuild(IncProjectBuilder.java:419)  	at org.jetbrains.jps.incremental.IncProjectBuilder.build(IncProjectBuilder.java:183)  	at org.jetbrains.jps.cmdline.BuildRunner.runBuild(BuildRunner.java:132)  	at org.jetbrains.jps.cmdline.BuildSession.runBuild(BuildSession.java:302)  	at org.jetbrains.jps.cmdline.BuildSession.run(BuildSession.java:132)  	at org.jetbrains.jps.cmdline.BuildMain$MyMessageHandler.lambda$channelRead0$0(BuildMain.java:219)  	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)  	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)  	at java.lang.Thread.run(Thread.java:748)

In the use of MapStruct, idea2020.3 version in the build project error: java: Internal error in the mapping processor: java.lang.NullPointerException

Solution:
Setting –>Build,Execution,Deployment –>Compiler –>User-local build Add the parameter:
-Djps.track.ap.dependencies=false

[Solved] Error creating bean with name ‘redisConnectionFactory‘ defined in class path resource…

1. Recurrence problem

When starting the spring boot project today, the following error occurred:

org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'redisConnectionFactory' defined in class path resource [org/springframework/boot/autoconfigure/data/redis/LettuceConnectionConfiguration.class]: Bean instantiation via factory method failed; nested exception is org.springframework.beans.BeanInstantiationException: Failed to instantiate [org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory]: Factory method 'redisConnectionFactory' threw exception; nested exception is java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericObjectPoolConfig
	at org.springframework.beans.factory.support.ConstructorResolver.instantiate(ConstructorResolver.java:658)
	at org.springframework.beans.factory.support.ConstructorResolver.instantiateUsingFactoryMethod(ConstructorResolver.java:638)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateUsingFactoryMethod(AbstractAutowireCapableBeanFactory.java:1334)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBeanInstance(AbstractAutowireCapableBeanFactory.java:1177)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:564)
	at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:524)
	at org.springframework.beans.factory.support.AbstractBeanFactory.lambda$doGetBean$0(AbstractBeanFactory.java:335)
	at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:234)
	at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:333)
	at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:208)
	at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:944)
	at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:918)
	at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:583)
	at org.springframework.boot.web.servlet.context.ServletWebServerApplicationContext.refresh(ServletWebServerApplicationContext.java:145)
	at org.springframework.boot.SpringApplication.refresh(SpringApplication.java:758)
	at org.springframework.boot.SpringApplication.refreshContext(SpringApplication.java:438)
	at org.springframework.boot.SpringApplication.run(SpringApplication.java:337)
	at org.springframework.boot.SpringApplication.run(SpringApplication.java:1336)
	at org.springframework.boot.SpringApplication.run(SpringApplication.java:1325)
	at com.superjson.superjsonmanager.SuperJsonManagerApplication.main(SuperJsonManagerApplication.java:51)
Caused by: org.springframework.beans.BeanInstantiationException: Failed to instantiate [org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory]: Factory method 'redisConnectionFactory' threw exception; nested exception is java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericObjectPoolConfig
	at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:185)
	at org.springframework.beans.factory.support.ConstructorResolver.instantiate(ConstructorResolver.java:653)
	... 19 common frames omitted
Caused by: java.lang.NoClassDefFoundError: org/apache/commons/pool2/impl/GenericObjectPoolConfig
	at org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration$LettucePoolingClientConfigurationBuilder.<init>(LettucePoolingClientConfiguration.java:94)
	at org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration.builder(LettucePoolingClientConfiguration.java:51)
	at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration$PoolBuilderFactory.createBuilder(LettuceConnectionConfiguration.java:172)
	at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.createBuilder(LettuceConnectionConfiguration.java:110)
	at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.getLettuceClientConfiguration(LettuceConnectionConfiguration.java:95)
	at org.springframework.boot.autoconfigure.data.redis.LettuceConnectionConfiguration.redisConnectionFactory(LettuceConnectionConfiguration.java:77)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.springframework.beans.factory.support.SimpleInstantiationStrategy.instantiate(SimpleInstantiationStrategy.java:154)
	... 20 common frames omitted
Caused by: java.lang.ClassNotFoundException: org.apache.commons.pool2.impl.GenericObjectPoolConfig
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	... 31 common frames omitted

Disconnected from the target VM, address: '127.0.0.1:62013', transport: 'socket'

Process finished with exit code 1

It is error creating bean with name 'redisconnectionfactory' defined in class path resource problem, that is, the redis connection pool cannot be created.

2. Analyze problems

Is there a problem with my redis configuration, or is the redis dependency package not introduced, resulting in the above error?Therefore, the following analysis is made.

1. View redis configuration

spring:
  # Need to set it to always, color print log
  output:
    ansi:
      enabled: always
  redis:
    database: 0
    host: 127.0.0.1
    lettuce:
      pool:
        max-active: 8
        max-idle: 10
        max-wait: 1ms
        min-idle: 5
      shutdown-timeout: 100ms
    port: 6379

There is no problem with the configuration.

2. View redis dependencies

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

Still no problem.

3. Continue to analyze the error log and see that the error is reported, as shown in the following figure:

That is, java.lang.ClassNotFoundException: org.apache.commons.pool2.impl.GenericObjectPoolConfig, the GenericObjectPoolConfig class cannot be found because the dependency of this class is not configured.

3. Solution

Since there are no dependencies related to redis, the following dependencies can be introduced:

<!-- properties add redisCommonsPool.version，so that you can call dependncy easily-->
<properties>
    <java.version>1.8</java.version>
  <redisCommonsPool.version>2.11.1</redisCommonsPool.version>
</properties>

<!-- Introducing the redis connection pool dependency -->
<dependency>
    <groupId>org.apache.commons</groupId>
    <artifactId>commons-pool2</artifactId>
    <version>${redisCommonsPool.version}</version>
</dependency>

Why do I need this dependency? Because I have configured the connection pool of redis in the yml file, and the connection pool needs to use this dependency.