Hongren Gong hrgentry

## installing_nvidia_driver_cuda_cudnn_linux.md

      
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                hrgentry
                / installing_nvidia_driver_cuda_cudnn_linux.md
            
            
              Created
              December 7, 2020 11:10
                — forked from kmhofmann/installing_nvidia_driver_cuda_cudnn_linux.md
            
              
                Installing the NVIDIA driver, CUDA and cuDNN on Linux
              
          
    Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source.
In particular, the aim is to install the following pieces of software

NVIDIA graphics card driver (v450.57)
CUDA (v11.0.2)
cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

  
## gist:2a02951cb0ef2dedcfad88544ba40aa7
library(tidyverse)
library(paletteer)
library(gt)

pizzaplace %>%
  mutate(type = case_when(
    type == "chicken" ~ "chicken (pizzas with chicken as a major ingredient)",
    type == "classic" ~ "classic (classical pizzas)",
    type == "supreme" ~ "supreme (pizzas that try a little harder)",
    type == "veggie" ~ "veggie (pizzas without any meats whatsoever)",

## beamer-slides-with-notes.pdf

      
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                hrgentry
                / beamer-slides-with-notes.pdf
            
            
              Created
              May 15, 2020 02:42
                — forked from andrejbauer/beamer-slides-with-notes.pdf
            
          
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## tensorflow_1_7_high_sierra_gpu.md

      
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                hrgentry
                / tensorflow_1_7_high_sierra_gpu.md
            
            
              Created
              June 17, 2019 01:44
                — forked from Willian-Zhang/tensorflow_1_7_high_sierra_gpu.md
            
              
                Install Tensorflow 1.7 on macOS High Sierra 10.13.4 with CUDA and stock python
              
          
    Tensorflow 1.7 with CUDA on macOS High Sierra 10.13.4 for eGPU

Largely based on the Tensorflow 1.6 gist,
and Tensorflow 1.7 gist for xcode, this should hopefully simplify things a bit.
Requirements


NVIDIA Web-Drivers 387.10.10.10.30.103 for 10.13.4
CUDA-Drivers 387.178
CUDA 9.1 Toolkit


## .latexmkrc
# Use xelatex instead of pdflatex
$pdflatex = 'xelatex -synctex=1 -interaction=nonstopmode --shell-escape %O %S';

# Always create PDFs
$pdf_mode = 1;

# Use Skim.app to preview generated PDFs
$pdf_previewer = 'open -a Skim.app %S';

# Use continous mode by default

## .Renviron
R_LIBS_USER="~/R"
	library(tidyverse)
	library(paletteer)
	library(gt)

	pizzaplace %>%
	mutate(type = case_when(
	type == "chicken" ~ "chicken (pizzas with chicken as a major ingredient)",
	type == "classic" ~ "classic (classical pizzas)",
	type == "supreme" ~ "supreme (pizzas that try a little harder)",
	type == "veggie" ~ "veggie (pizzas without any meats whatsoever)",
	# Use xelatex instead of pdflatex
	$pdflatex = 'xelatex -synctex=1 -interaction=nonstopmode --shell-escape %O %S';

	# Always create PDFs
	$pdf_mode = 1;

	# Use Skim.app to preview generated PDFs
	$pdf_previewer = 'open -a Skim.app %S';

	# Use continous mode by default