针对您遇到的“no package devtoolset-8-gcc* available”问题,这通常意味着您的系统上的包管理器(如yum、dnf等)无法在其配置的仓库中找到名为devtoolset-8-gcc*的软件包。这个问题可能由几个原因引起,下面我将根据提供的提示,分点进行解答: 1. 确认用户的环境和上下文 首先,请确认您正在使用的操作系统和包管理...
What needs to happen to make the build work is to somehow install a GCC that is newer than 4.9 (if I recall correctly). One can use https://www.softwarecollections.org/en/scls/rhscl/devtoolset-8/ to get a recent GCC on such a system. @MasterDuke17 I think you said you know about...
yum install -y devtoolset-8-toolchain scl enable devtoolset-8 bash # 安装完成后查看版本 gcc --version ``` ### 3.安装并指定安装目录 ```bash make install PREFIX=/usr/local/redis #拷贝一份配置文件 cp /data/redis/redis-6.0.8/redis.conf /usr/local/redis/bin/ ``` ### 至此安装完成 ...
+ cd /home/my.name/Qt/qt5-build/config.tests/c99 && MAKEFLAGS= /opt/rh/devtoolset-8/root/usr/bin/gmake > gcc -c -pipe -O2 -std=gnu99 -w -fPIC -I. -I/home/my.name/Qt/qt-everywhere-src-5.15.5/qtbase/mkspecs/linux-g++ -o main.o main.c ...
CUDA available: True numpy_random_seed: 2147483648 GPU 0: NVIDIA TITAN X (Pascal) CUDA_HOME: /usr/local/cuda-10.2 NVCC: Cuda compilation tools, release 10.2, V10.2.8 GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 PyTorch: 1.12.1+cu102 PyTorch compiling details: PyTorch built with: GCC...
sudo yum -y install centos-release-scl sudo yum -y install devtoolset-9-gcc devtoolset-9-gcc-c++ sclenabledevtoolset-9 bash For the initial compilation, it is recommended to use the build script build.sh, which checks if the required software is available on the local machine. ...
torch.cuda.is_available=False 我在一次训练模型进程未关闭完就把电脑关闭了,然后尝试重新训练时出现了这个问题,我尝试过了重装cuda驱动,且anaconda下的虚拟环境也是按照教程中的来搭建的,请问为何会出现这个问题? 而且当我导入pytorch时会出现以下问题: torch.cuda.is_available=FalseCollaborator...
Python: 3.8.16 | packaged by conda-forge | (default, Feb 1 2023, 16:01:55) [GCC 11.3.0] CUDA available: True numpy_random_seed: 2147483648 GPU 0,1: NVIDIA GeForce RTX 4090 CUDA_HOME: /usr/local/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 ...