针对你遇到的错误“could not find capabilities for arch=x86_64 domaintype=kvm”,以下是一些可能的解决方案和排查步骤: 确认系统环境和软件版本: 确保你的操作系统支持虚拟化,并且已经正确安装了虚拟化相关的软件包。 检查你的libvirt和qemu-kvm版本是否兼容,有时候软件版本不兼容也会导致类似的问题。 检查是否已...
现象:错误:无效参数:could not find capabilities for arch=aarch64 解决: qemu源码编译:(需要指定--cpu=aarch64) ./configure --target-list=arm-softmmu,aarch64-softmmu --enabl
internal error: Child process (/sbin/showmount --no-headers --exports localhost) unexpected exit status 1: clnt_create: RPC: Program not registered libvirt: Capabilities Utils error : invalid argument: could not find capabilities for arch=x86_64 domaintype=kvm [04/Jan/2016:13:21:43] ENGINE ...
(Code=8, Domain=44, Message='invalid argument: could not find capabilities for domaintype=kvm ') X Unable to start VM * Error: [KVM_UNAVAILABLE] create: Error creating machine: Error in driver during machine creation: creating domain: Error defining domain xml: <domain type='kvm'> <name...
[main] : 主配置段 cachedit 缓存目录 keepcache 是否缓存二进制文件。 0 不缓存, 1 缓存。 debuglevel 调试级别 logfile 日志文件 exactarch 精确匹配与当前系统的版本号 1 匹配 0是 不用匹配 gpgcheck 校验包完整性,来源合法性。 1 校验 0 不校验。 plugins 支持插件 ...
/usr/lib/x86_64-linux-gnu/cmake/ITK-5.3/Modules/ITKVtkGlue.cmake:16 (find_package): Could not find a package configuration file provided by "VTK" with any of the following names: VTKConfig.cmake vtk-config.cmake Add the installation prefix of "VTK" to CMAKE_PREFIX_PATH or set "VTK...
##[debug]JAVA_HOME=/usr/lib/jvm/java-14-openjdk-14.0.1.7-2.rolling.el7.x86_64 ##[debug]JAVA_HOME_11_X64=undefined Fun fact: i can’t find this version of java on my agent… image3273×810 382 KB But in the agent capability the java_home is indeed wrong: ...
sim/config:/root/.nvidia-omniverse/config:rw -v ~/docker/isaac-sim/data:/root/.local/share/ov/data:rw -v ~/docker/isaac-sim/documents:/root/Documents:rw nvcr.io/nvidia/isaac-sim:2022.1.0 docker: Error response from daemon: could not select device driver "" wi...
JRE: 1.8.0_152-release-1248-b8 x86_64 JVM: OpenJDK 64-Bit Server VM by JetBrains s.r.o macOS 10.13.6 Russell, sorry for the late reply. 1. What compiler (name and version) do you use? Also please attach a screenshot ofPreferences | Build, Execution, Deploymen...
The TF-nightly install does not find the GPU Standalone code to reproduce the issue sudo apt-key del 7fa2af80 wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-wsl-ubuntu.pin sudo mv cuda-wsl-ubuntu.pin /etc/apt/preferences.d/cuda-repository-pin-600 ...