Updated Date: SEP 2, 2021
List available VGA
lspci | grep VGA
01:00.0 VGA compatible controller: NVIDIA Corporation TU104 [GeForce RTX 2070 SUPER] (rev a1)
Confirm your platform version
lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 20.04.2 LTS
Release: 20.04
Codename: focal
Install graphic driver for Ubuntu20.04.2
ubuntu-drivers devices
== /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 ==
modalias : pci:v000010DEd00001E84sv00001043sd00008708bc03sc00i00
vendor : NVIDIA Corporation
model : TU104 [GeForce RTX 2070 SUPER]
driver : nvidia-driver-460 - distro non-free recommended
driver : nvidia-driver-450 - distro non-free
driver : nvidia-driver-450-server - distro non-free
driver : nvidia-driver-460-server - distro non-free
driver : xserver-xorg-video-nouveau - distro free builtin
sudo ubuntu-drivers autoinstall
Restart your machine
List available CUDA
nvidia-smi
Fri Apr 16 20:31:05 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.56 Driver Version: 460.56 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce RTX 207... Off | 00000000:01:00.0 On | N/A |
| 0% 45C P8 21W / 215W | 271MiB / 7973MiB | 14% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1209 G /usr/lib/xorg/Xorg 35MiB |
| 0 N/A N/A 1932 G /usr/lib/xorg/Xorg 106MiB |
| 0 N/A N/A 2052 G /usr/bin/gnome-shell 82MiB |
| 0 N/A N/A 3151 G /usr/lib/firefox/firefox 2MiB |
| 0 N/A N/A 3217 G /usr/lib/firefox/firefox 2MiB |
| 0 N/A N/A 3376 G ...AAAAAAAAA= --shared-files 28MiB |
+-----------------------------------------------------------------------------+
Runfile installation
- download CUDA (Version=11.2)
wget https://developer.download.nvidia.com/compute/cuda/11.2.0/local_installers/cuda_11.2.0_460.27.04_linux.run
- install it by run the following command
sudo sh cuda_11.2.0_460.27.04_linux.run
- If any, just follow the instructions given by CUDA11.2.0 DOCUMENT and Zhihu blog (中文)
Test installation (optional)
nvcc
nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Mon_Nov_30_19:08:53_PST_2020
Cuda compilation tools, release 11.2, V11.2.67
Build cuda_11.2.r11.2/compiler.29373293_0
the dirctory: ./sample/
cd ~/NVIDIA_CUDA-11.2_Samples/; make; cd 1_Utilities/deviceQuery/; ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce RTX 2070 SUPER"
CUDA Driver Version / Runtime Version 11.2 / 11.2
CUDA Capability Major/Minor version number: 7.5
Total amount of global memory: 7974 MBytes (8361279488 bytes)
(40) Multiprocessors, ( 64) CUDA Cores/MP: 2560 CUDA Cores
GPU Max Clock rate: 1815 MHz (1.81 GHz)
Memory Clock rate: 7001 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 4194304 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 65536 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 3 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: Yes
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.2, CUDA Runtime Version = 11.2, NumDevs = 1
Result = PASS
test Numba
- install tensorflow=gpu using conda
conda create --name tf_gpu tensorflow-gpu
This is the easiest way I have tried many times. 1. install numba using conda
conda install numba
- test Numba
from numba import cuda
def cpu_print():
print("print by cpu.")
@cuda.jit
def gpu_print():
print("print by gpu.")
def main():
gpu_print[1, 2]()
cuda.synchronize()
cpu_print()
if __name__ == "__main__":
main()
test Tensorflow-gpu (optional)
tf.test.is_built_with_cuda()