My Scenario I have a remote server(4.4.4.4) where I am running a python django webserver on port 8008. However, the remove server is only allowing ssh port 32686, which means that I cannot directly access remote server at port 8008 to view the webserver. This is why I am local Read more…
The most popular command However, in some cases when lsb_release is not available, then use the following
search available packages with keyword list available versions of a package. For example, if I want to list all available versions for package libcudnn7 Before running this, running apt update is recommended. After finding a specific version that I want to install, then install the packge with a specific version Read more…
Problem When I tried to run a python script using numpy, it gave the following error. Solution found a solution from here from the shell, execute the following
problem I had a shell script like the following and I was trying to run it with $ sh somescript.sh but it kept failing with the error something liek “cd: no directory”. Solution After resaving the script file with LF instead of CRLF, the script worked. I was using intellij Read more…
I encountered the infamous “‘grub–efi–amd64–signed‘ package failed to install into /target/.” error when installing ubuntu 20.04 along with preinstalled windows 10 in my desktop. Here are the setting environments gigabyte mainboard one SSD, one HDD windows 10 already installed on SSD I wanted to install ubuntu 20.04 on the HDD Read more…
Problem when the local machine is having problems resolving domain name. This can happen when using domain names that are not public but setup in corporate intranet setups. Below is an example error message that I got when trying to git clone from corporate github which is not open to Read more…
from nvidia docs 2.3.1. Installing from a Tar File Navigate to your <cudnnpath> directory containing the cuDNN Tar file. Unzip the cuDNN package. $ tar -xzvf cudnn-9.0-linux-x64-v7.tgz Copy the following files into the CUDA Toolkit directory, and change the file permissions. $ sudo cp cuda/include/cudnn.h /usr/local/cuda/include $ sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 Read more…
check current version of cudnn my current gpu uses CUDA10.0 which can be verified from nvidia-smi The current version of cudnn is meant for CUDA10.1. It seems that this somehow creates a conflict and I cannot load and run my model in tensorflow-gpu 1.13.1. In order to fix this, I Read more…