Tag: cudnn

Ubuntu 18.04 LTS installs multiple versions to switch between CUDA and the corresponding cudnn pytorch tensorflow (Miniconda environment)

0 Some recommended versions Version adaptation problems often occur in various software. Here are the versions verified by others: 2022 [Super detailed] Building a deep learning environment and configuration tensorflow2.7 + keras2.7 + CUDA11.6 + cuDNN corresponding version_cuda11.6 corresponding cudnn_Huo Lingyuan’s blog-CSDN blog python3.7.0 + CUDA11.6.0 + cuDNN8.3.2 + tensorflow2.7.0 + Keras2.7.0 python3.7.0 + CUDA11.3.1 […]

Ubuntu22.04 installs cuda, cudnn, and compiles darknet

1. Install cuda: 1, download and install cuda Official website: https://developer.nvidia.com/cuda-toolkit-archive wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run sudo sh cuda_11.8.0_520.61.05_linux.run` Because the graphics card driver has been installed before, you need to cancel the Driver here (move the cursor to Driver and press enter to cancel. Failure to cancel will cause the installation to terminate), then move the cursor […]

Ubuntu20.04 installs Nvidia graphics card driver, CUDA11.3, CUDNN, TensorRT, Anaconda, ROS/ROS2

1. Change domestic sources Open the terminal and enter the command: wget http://fishros.com/install -O fishros & amp; & amp; . fishros Select [5] to change the system source. There is an option to enter later. Select [0] to exit and the source will be changed automatically. 2. Install NVIDIA driver This step is the most […]

x86 host environment configuration Ubuntu18.04+CUDA10.2+Cudnn8+Python3.6

Due to work needs, I built a new x86 host, fiddled with the environment configuration, and shared it in the hope that it can help people in need. Table of Contents 1. CUDA, Cudnn, Pytorch, and Torchvision version correspondence 2. Install CUDA10.2.89 1. Installation 2. Check the CUDA version 3. Test (optional) 3. Install Cudnn8.0.3 […]

docker gets Nvidia image | cuda |cudnn

This article shares how to use docker to obtain Nvidia images, including cuda10, cuda11 and other different versions, cudnn7, cudnn8, etc., to quickly build a deep learning environment. 1. Go to the docker hub official website and check out the Nvidia images https://hub.docker.com/r/nvidia/cuda/tags?page=2 &name=11.3 Here you can enter the cuda version such as 11.6, or […]

NVIDIA, cuda, cudnn, pytorch installation in Ubuntu18

Note: The correspondence between nvidia driver and cuda, cudnn, pytroch, and python Linux installation pytorch (including cuda and cudnn)_linux Tsinghua Park according to pytorch1.12_BryceRui’s blog-CSDN blog Installation process: install cuda (including nvidia driver) + cudnn + python installation Note: nvidia driver can be installed together with cuda installation 1. Install the NVIDIA driver (this driver […]

Implement convolution calculation class based on cudnn

The speed is three times that of the convolution calculation interface provided by opencv Steps for usage header file code cpp file code Usage steps step1: Instantiate the class object cudnnConvObject step2: Call the initialization function initParam step3: Call creatKernel to create a convolution kernel step4: Call the performConOperat method to perform convolution calculations Header […]

Installing CUDA and cuDNN on Ubuntu and verifying installation steps

Installing CUDA and cuDNN on Ubuntu and verifying installation steps This tutorial details how to install CUDA (NVIDIA’s parallel computing platform) and cuDNN (deep neural network library) on the Ubuntu operating system, and how to verify whether the installation was successful. By following these steps, you will be able to configure your system to take […]