Problem introduction
sublime Text4 when installing install package control , you may encounter the following errors:
an error occurred installing package control.
Visit https://packagecontrol.io/installation for manual instructions
Problem-solving
For the above problems, it may be due to network problems. At this time, try adding the following two lines to the hosts file.
50.116.34.243 sublime.wbond.net
50.116.34.243 packagecontrol.ioProblem Description:
Bloggers appear when running springbootweb:
Whitelabel Error Page
This application has no explicit mapping for /error, so you are seeing this as a fallback.
As follows:
It is found that the input URL is incorrect. After repeatedly confirming that the path in the file is written correctly, it is found that the location of the main running class of springboot is incorrect:
i see:
The package name was set when the springboot was created, but the self tested controller is in another self created package, but the spring boot will automatically load all components under the package where the startup class is located and its sub packages, so an error is reported
Solution:
just put the WebTest package on com.web.springboot_ Just under echarts
The purpose is to make the application contain all sub packages!!
Problem: libiomp5md.dll in the numpy package installed by Anaconda conflicts with libiomp5md.dll in pytoch
Solution:
import os
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"Reduce numpy version
pip install -U numpy==1.16.5Done!
Article catalog
Run segyio to read segy files and report errors. Troubleshooting error cause reference
An error occurs when running segyio to read the segy file
"RuntimeError: trace count inconsistent with file size, trace lengths possibly of non-uniform"
Solution:
(1) Add: endian ='little '
with segyio.open('test.sgy','r',ignore_geometry=True,endian='little') as f:
(2) If it still fails:
check the length of the data trace. Segyio’s default trace has the same number and format of sampling points. If the length of the trace in the segy file is inconsistent, it may lead to reading errors.
Error reason
Detailed explanation of big endian and little endian
the default bytes of files read by segyio are encoded according to big endian, while your files are written according to little endian bytes
Error 1 error msb3721: command “C:\program files\NVIDIA GPU computing toolkit\CUDA\v9.0\bin\nvcc. Exe” – gencode = arch = compute_ 20,code=“sm_ 20,compute_20” -gencode=arch=compute_ 30,code=“sm_30,compute_30” -gencode=arch=compute_50,code=“sm_50,compute_50” –use-local-env -ccbin “C:\Program Files
（cuda9.0targets 707)
Windows10 + cuda9.0 + cudnn + visual stdio2015 (originally, visual stdio2017 was used. Some blogs said no and changed it. If you downloaded 2017, you can directly change it at the change place. A single component will be OK under 2015. Some blogs talked about it and you can search it)
My computer graphics card version is gtx1050
After query, I changed compute and SM to compute_30,sm_30; compute_61,sm_ But it seems useless, but some bloggers say it’s useful, mainly because of different mistakes. You can try it.
I set the CUDA toolkit custom dir to C: \program files\NVIDIA GPU computing toolkit\CUDA at the beginning. When I opened the file, I found an error. It needs to be set to C: \program files\NVIDIA GPU computing toolkit\CUDA\v9.0
Then it’s solved. It’s been busy for two days. I’ve read a lot of blogs. I hope it can inspire you!!!
When compiling libzmq on ubuntu, an error is reported during configure and makefile generation.
libzmq-master$ ./autogen.sh autoreconf: Entering directory `.’ autoreconf: configure.ac: not using Gettext autoreconf: running: aclocal -I config --force -I config autoreconf: configure.ac: tracing autoreconf: configure.ac: not using Libtool autoreconf: running: /usr/bin/autoconf --include=config --force configure.ac:28: error: possibly undefined macro: AC_SUBST If this token and others are legitimate, please use m4_pattern_allow. See the Autoconf documentation. configure.ac:74: error: missing some pkg-config macros (pkg-config package) configure.ac:83: error: possibly undefined macro: AC_LIBTOOL_WIN32_DLL configure.ac:84: error: possibly undefined macro: AC_PROG_LIBTOOL configure.ac:132: error: possibly undefined macro: AC_MSG_RESULT configure.ac:145: error: possibly undefined macro: AC_DEFINE configure.ac:253: error: possibly undefined macro: AC_CHECK_LIB configure.ac:335: error: possibly undefined macro: AC_CHECK_HEADERS configure.ac:337: error: possibly undefined macro: AC_MSG_ERROR configure.ac:521: error: missing some pkg-config macros (pkg-config package) configure.ac:526: error: possibly undefined macro: AC_SEARCH_LIBS configure.ac:555: error: possibly undefined macro: AC_MSG_NOTICE configure.ac:831: error: possibly undefined macro: AC_MSG_WARN configure:6458: error: possibly undefined macro: AC_DISABLE_STATIC configure:6462: error: possibly undefined macro: AC_ENABLE_STATIC autoreconf: /usr/bin/autoconf failed with exit status: 1 autogen.sh: error: autoreconf exited with status 1
As suggested by the webmaster
sudo apt install automake libtool m4 autoconf
I found that all of them are installed. Try other solutions:
The software installed by apt-get is usually in the /usr directory. Since it is prompted that AC_PROG_LIBTOOL cannot be found, there are two general reasons for the analysis.
1. failure to install the package or other reasons such as version problems resulting in no definition of AC_PROG_LIBTOOL.
2. there is a problem finding the path.
From these two points, you can look for AC_PROG_LIBTOOL globally in the /usr directory
can see that AC_PROG_LIBTOOL can be found in the m4 file, then it may be a path issue.
Most m4 files are in the /usr/share/aclocal/ directory, but the default aclocal path for configure is actually /usr/local/share/aclocal.
Then there can be two ways to do it.
First, copy all the *.m4 files under /usr/share/aclocal/ to the usr/local/share/aclocal/ directory.
Second, specify the installation path of aclocal.
sudo cp /usr/share/aclocal/*.m4 /usr/local/share/aclocal/
Again . /autogen.sh, and it passes.
Problem source: as shown in the figure below, I declare a slice that prompts me that the subscript is out of bounds
let’s debug why this happens
we can see that the slice in this declaration mode stores not zero values, but nil
in fact, we just need to change it to var SS = make ([] int, n)
next, let’s look at the principle and deeply analyze the three special state zero slices of go language slice, Empty slice and nil slice
the bottom layer of slice is an array, and the surface layer of slice is a structure containing three variables. When we assign a slice to another slice, it is essentially a shallow copy of the surface structure of slice. The first variable in the structure is a pointer to the underlying array, and the other two variables are the length and capacity of the slice
let’s first look at the simplest zero slice
then empty slice and nil slice
the above four forms seem to be the same from the output results. But in fact, there are differences. The two special types of “empty slice” and “nil slice” we want to talk about are hidden in the above four forms. How can we analyze the differences between the internal structures of three sides and four forms?Next, we will use the high-level content of go language to convert any variable type of go language through unsafe. Pointer. Because the internal structure of the slice is a structure body, which contains three machine word size integer variables. The first variable is a pointer variable, and the pointer variable also stores an integer value, but this value is the memory address of another variable. We can look at this structure as an integer array [3] int with a growth of 3. Then convert the slice variable to [3] int
from the output, we see obvious, magical, surprising and incomprehensible different results. The S1 and S4 variables whose output is [0] are “nil slices”, and the S2 and S3 variables are “empty slices”. 824634199592 this value is a special memory address shared by all types of “empty slices”
the last question is: is there any difference between “nil slice” and “empty slice”?The official recommends nil slices. See why
“empty slice” and “nil slice” are sometimes hidden in the structure. At this time, their differences are ignored by too many people. Let’s take an example
it can be found that the results of creating structures are different between the two types! ” Another great difference between “empty slice” and “nil slice” is JSON serialization, which is extremely important
Background
HSF distributed framework realizes excel export based on easyexcel
when the control layer sends a get request and HttpServletRequest and httpservletrepose to the business console, an exception occurs
reason
In distributed applications, when the control layer transfers the response to the middle console, the response is closed in advance.
solve
The export implementation idea is changed to: post receives parameters, exports them to bytearrayoutputstream, uploads the file server, and returns uploadid
Detailed log
com.taobao.hsf.exception.HSFException:
error message : error on submit request on future invoke:
at com.taobao.hsf.remoting.service.RemotingRPCProtocolComponent.invokeForOne(RemotingRPCProtocolComponent.java:109)
at com.taobao.hsf.remoting.service.RemotingRPCProtocolComponent.invoke(RemotingRPCProtocolComponent.java:84)
at com.taobao.hsf.protocol.MultiplexingProtocol$ProtocolMultiplexingInvocationHandler.invoke(MultiplexingProtocol.java:126)
at com.taobao.hsf.invocation.filter.RPCAfterFilterBuilder$TailNode.invoke(RPCAfterFilterBuilder.java:165)
at com.taobao.hsf.rpc.generic.GenericInvocationAfterClientFilter.invoke(GenericInvocationAfterClientFilter.java:43)
at com.taobao.hsf.invocation.filter.RPCAfterFilterNode.invoke(RPCAfterFilterNode.java:70)
at com.taobao.hsf.invocation.filter.RPCAfterFilterBuilder$HeadNode.invoke(RPCAfterFilterBuilder.java:135)
at com.taobao.hsf.registry.RegistryInvocationHandler.invoke(RegistryInvocationHandler.java:139)
at com.taobao.hsf.invocation.DelegateInvocationHandler.invoke(DelegateInvocationHandler.java:12)
at com.taobao.hsf.remoting.service.LocalInvocationHandler.invoke(LocalInvocationHandler.java:100)
at com.taobao.hsf.invocation.filter.RPCFilterBuilder$TailNode.invoke(RPCFilterBuilder.java:165)
at com.taobao.hsf2dubbo.context.DubboRPCContextClientFilter.invoke(DubboRPCContextClientFilter.java:43)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.context.RPCContextClientFilter.invoke(RPCContextClientFilter.java:31)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.rpc.generic.GenericInvocationClientFilter.invoke(GenericInvocationClientFilter.java:59)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.remoting.service.InvocationValidationFilter.invoke(InvocationValidationFilter.java:48)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.filter.QosClientFilter.invoke(QosClientFilter.java:64)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.plugins.spas.SpasClientFilter.invoke(SpasClientFilter.java:82)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.plugins.eagleeye.EagleEyeClientFilter.invoke(EagleEyeClientFilter.java:79)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.dpath.DPathTagClientFilter.invoke(DPathTagClientFilter.java:38)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.invocation.stats.InvocationStatsClientFilter.invoke(InvocationStatsClientFilter.java:45)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.monitor.log.filter.MonitorLogClientFilter.invoke(MonitorLogClientFilter.java:51)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.common.filter.CommonClientFilter.invoke(CommonClientFilter.java:37)
at com.taobao.hsf.invocation.filter.RPCFilterNode.invoke(RPCFilterNode.java:71)
at com.taobao.hsf.invocation.filter.RPCFilterBuilder$HeadNode.invoke(RPCFilterBuilder.java:134)
at com.taobao.hsf.invocation.filter.FilterInvocationHandler.invoke(FilterInvocationHandler.java:28)
at com.taobao.hsf.cluster.TestAddressInvocationHandler.invoke(TestAddressInvocationHandler.java:50)
at com.taobao.hsf.remoting.service.AsyncInvocationHandler.invoke(AsyncInvocationHandler.java:44)
at com.taobao.hsf.invocation.FutureInvocationHandler.invoke(FutureInvocationHandler.java:44)
at com.taobao.hsf2dubbo.DubboAsyncInvocationHandler.invoke(DubboAsyncInvocationHandler.java:93)
at com.taobao.hsf.invocation.AsyncToSyncInvocationHandler.invokeType(AsyncToSyncInvocationHandler.java:226)
at com.taobao.hsf.invocation.AsyncToSyncInvocationHandler.invoke(AsyncToSyncInvocationHandler.java:52)
at com.taobao.hsf.profiler.ProfilerSyncInvocationHandler.invoke(ProfilerSyncInvocationHandler.java:35)
at com.taobao.hsf.rpc.client.ErrorLogSyncInvocationHandler.invoke(ErrorLogSyncInvocationHandler.java:47)
at com.taobao.hsf2dubbo.DubboClientFilterSyncInvocationHandlerInterceptor.invoke(DubboClientFilterSyncInvocationHandlerInterceptor.java:56)
at com.taobao.hsf.rpc.client.ClientConcurrencyLimiter.invoke(ClientConcurrencyLimiter.java:41)
at com.taobao.hsf.InvocationUtil.invoke(InvocationUtil.java:51)
at com.taobao.hsf.proxy.ProxyInvocationHandler.invoke(ProxyInvocationHandler.java:31)
at com.taobao.hsf.proxy.JdkProxyFactory$JdkProxyInvocationHandler.invoke(JdkProxyFactory.java:99)
at com.sun.proxy.$Proxy180.exportDetailExcel(Unknown Source)
at cn.ccccltd.smp.smp.controller.ExportController.transSettlementWriteOffDetail(ExportController.java:57)
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.web.method.support.InvocableHandlerMethod.doInvoke(InvocableHandlerMethod.java:189)
at org.springframework.web.method.support.InvocableHandlerMethod.invokeForRequest(InvocableHandlerMethod.java:138)
at org.springframework.web.servlet.mvc.method.annotation.ServletInvocableHandlerMethod.invokeAndHandle(ServletInvocableHandlerMethod.java:102)
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.invokeHandlerMethod(RequestMappingHandlerAdapter.java:892)
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.handleInternal(RequestMappingHandlerAdapter.java:797)
at org.springframework.web.servlet.mvc.method.AbstractHandlerMethodAdapter.handle(AbstractHandlerMethodAdapter.java:87)
at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:1038)
at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:942)
at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java:1005)
at org.springframework.web.servlet.FrameworkServlet.doGet(FrameworkServlet.java:897)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:687)
at org.springframework.web.servlet.FrameworkServlet.service(FrameworkServlet.java:882)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:790)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:231)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.apache.tomcat.websocket.server.WsFilter.doFilter(WsFilter.java:53)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at cn.ccccltd.biz.plugin.security.interceptor.CasFilterSecurityInterceptor.invoke(CasFilterSecurityInterceptor.java:43)
at cn.ccccltd.biz.plugin.security.interceptor.CasFilterSecurityInterceptor.doFilter(CasFilterSecurityInterceptor.java:33)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at cn.ccccltd.biz.plugin.security.filter.CSRFilter.doFilter(CSRFilter.java:54)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.boot.actuate.web.trace.servlet.HttpTraceFilter.doFilterInternal(HttpTraceFilter.java:90)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.security.web.FilterChainProxy.doFilterInternal(FilterChainProxy.java:209)
at org.springframework.security.web.FilterChainProxy.doFilter(FilterChainProxy.java:178)
at org.springframework.web.filter.DelegatingFilterProxy.invokeDelegate(DelegatingFilterProxy.java:357)
at org.springframework.web.filter.DelegatingFilterProxy.doFilter(DelegatingFilterProxy.java:270)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.RequestContextFilter.doFilterInternal(RequestContextFilter.java:99)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.FormContentFilter.doFilterInternal(FormContentFilter.java:92)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.HiddenHttpMethodFilter.doFilterInternal(HiddenHttpMethodFilter.java:93)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.session.web.http.SessionRepositoryFilter.doFilterInternal(SessionRepositoryFilter.java:167)
at org.springframework.session.web.http.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:80)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.boot.actuate.metrics.web.servlet.WebMvcMetricsFilter.filterAndRecordMetrics(WebMvcMetricsFilter.java:117)
at org.springframework.boot.actuate.metrics.web.servlet.WebMvcMetricsFilter.doFilterInternal(WebMvcMetricsFilter.java:106)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.springframework.web.filter.CharacterEncodingFilter.doFilterInternal(CharacterEncodingFilter.java:200)
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107)
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193)
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166)
at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:200)
at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:96)
at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:490)
at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:139)
at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:92)
at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:74)
at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:343)
at org.apache.coyote.http11.Http11Processor.service(Http11Processor.java:408)
at org.apache.coyote.AbstractProcessorLight.process(AbstractProcessorLight.java:66)
at org.apache.coyote.AbstractProtocol$ConnectionHandler.process(AbstractProtocol.java:834)
at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.doRun(NioEndpoint.java:1415)
at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at org.apache.tomcat.util.threads.TaskThread$WrappingRunnable.run(TaskThread.java:61)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.taobao.hsf.io.serialize.HSFSerializeException: SerializeError
error message : HSF Serialize request arguments error.Please make sure your DO is serializable and your dependency is latest.
at com.taobao.hsf.io.remoting.hsf.HSFPacketFactory.clientCreate(HSFPacketFactory.java:68)
at com.taobao.hsf.io.stream.AbstractClientStream.write(AbstractClientStream.java:121)
at com.taobao.hsf.remoting.service.RemotingRPCProtocolComponent.invokeForOne(RemotingRPCProtocolComponent.java:106)
... 129 more
Caused by: java.lang.OutOfMemoryError: Java heap space
at com.taobao.hsf.io.common.BytesUtil.copyOf(BytesUtil.java:38)
at com.taobao.hsf.io.serialize.UnsafeByteArrayOutputStream.write(UnsafeByteArrayOutputStream.java:63)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.flushBuffer(Hessian2Output.java:1553)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeBytes(Hessian2Output.java:1136)
at com.taobao.hsf.com.caucho.hessian.io.BasicSerializer.writeObject(BasicSerializer.java:175)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:166)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:166)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:166)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.ArraySerializer.writeObject(ArraySerializer.java:69)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:166)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:171)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer$ObjectFieldSerializer.serialize(UnsafeSerializer.java:293)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeInstance(UnsafeSerializer.java:212)
at com.taobao.hsf.com.caucho.hessian.io.UnsafeSerializer.writeObject(UnsafeSerializer.java:171)
at com.taobao.hsf.com.caucho.hessian.io.Hessian2Output.writeObject(Hessian2Output.java:421)
An accident caused by a school power failure.
UserWarning: CUDA initialization: CUDA unknown error – this may be due
to an incorrectly set up environment, e.g. changing env variable CUDA_VISIBLE_DEVICES after program start. Setting the available devices to be zero. (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:109.) return torch._C._cuda_getDeviceCount() > 0
Solution.
I did reinstall pytorch and then restarted.
But today’s hiccups were more than that.
UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
Solution:
conda install -c anaconda keras-gpu
But there are new mistakes:
ImportError: cannot import name ‘keras_ export’
I’m completely stuck and can only remove it:
conda list
Viewing all the packages configured in our CONDA environment, we can see that the following three packages are associated with tensorflow:
there is no way. We can only uninstall one package and reconfigure the environment:
pip uninstall ‘Package Name’
Cause of accident
Ten million levels of data fall into the partition table, and the inserted partition is set as a dynamic partition
According to the resource usage on yarn, it is found that the memory, CPU and core count of the cluster are normal, but it appears after 88% of the data import task is executed
GC overhead limit exceeded. According to the generated execution log, it is found that there is only map task for data import, and the data volume level is tens of millions
Setting JVM parameters
set mapred.child.java.opts=-Xmx8000m;
set mapreduce.map.java.opts=-Xmx8096m;
set mapreduce.reduce.java.opts=-Xmx8096m;
set mapreduce.map.memory.mb=8096;
set mapreduce.reduce.memory.mb=8096;
By increasing the JVM parameters, you can make the data run past, but as long as the amount of data doubles, an error will still be reported
GC overhead limit exceeded
Optimization scheme:
When inserting data, add cluster by after the insertion condition to the key data fields, disperse the data, and generate a certain amount of reduce tasks to process part of the data
Vue reports error: request aborted at createerror
The address cannot be localhost, or the interface cannot be requested. Replace it with IP
Problem: vs2015 compiles vtk8.2 with an error Error c2065 undeclared identifier error (__ func__）
Solution: (two)
(1) Change the header file sequence online (the first method is tested, but it doesn’t work. It’s here temporarily, and the second method is effective)
#include "StdAfx.h"Put it first
(2) Change,, name (test valid)
__func__ replace to __FUNCTION__Test valid