BlueskyFR

#!/usr/bin/env bash

# Fail on first non-zero exit code
set -e

setup_colors() {
  if [[ -t 2 ]] && [[ -z "${NO_COLOR-}" ]] && [[ "${TERM-}" != "dumb" ]]; then
    NOFORMAT='\033[0m' RED='\033[0;31m' GREEN='\033[0;32m' ORANGE='\033[0;33m' BLUE='\033[0;34m' PURPLE='\033[0;35m' CYAN='\033[0;36m' YELLOW='\033[1;33m'
  else
    NOFORMAT='' RED='' GREEN='' ORANGE='' BLUE='' PURPLE='' CYAN='' YELLOW=''

BlueskyFR

diff --git a/PKGBUILD b/PKGBUILD
index 6cecc0f..72c3be0 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,7 +1,7 @@
 # Maintainer: Matthew Hiles <matthew.hiles@hpe.com>
 pkgname=via
-pkgver=4.2.0.2105106
-pkgrel=4
+pkgver=4.5.0.2301032

BlueskyFR

Conda CUDA environnement that takes precedence over the host's

The following is a code snippet that installs torch along with a full cuda environment that takes precedence over the host's. The only problem is that $TORCH_VERSION must be compatible with/compiled against $CUDA_VERSION, and the latter should be available in conda's nvidia channel (older CUDA versions are not available).

ENV_NAME=segformer CUDA_VERSION=11.1 TORCH_VERSION=1.9 cli=mamba
$cli deactivate
$cli env remove -n $ENV_NAME
$cli create -n $ENV_NAME -c conda-forge -c nvidia python=3.10 gcc=11 gxx cuda-runtime=$CUDA_VERSION cuda-nvcc=$CUDA_VERSION cudatoolkit=$CUDA_VERSION cuda-libraries=$CUDA_VERSION cuda-libraries-dev=$CUDA_VERSION cuda-cudart=$CUDA_VERSION cudnn && \

BlueskyFR

// Glossary code by Hugo Cartigny (BlueskyFR) 🍉

#let glossary(indent-defs: false, doc) = {
  // ✨ The glossary displays its items using level 99 headings
  let glossary = state("wow", (:))
  
  // Hide the numbering for level 99 titles
  show heading.where(level: 99): it => text(weight: "regular", it.body)
  
  let page-refs-color = rgb("#7630EA")

BlueskyFR

#!/bin/bash

# The proxy url to use when enabled
proxy=http://<proxy_ip>:<proxy_port>/

# -----------------------------------------------------

# Set proxy to "" if arg is "off"
# If arg is neither "on" or "off", exit
[[ $1 = "off" ]] && proxy= || ([[ $1 = "on" ]] || exit)

BlueskyFR

# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import time
global_start_time = time.time()

# %%
import tensorflow as tf
print(f"✨ Using TensorFlow {tf.__version__}!")
for device in tf.config.experimental.list_physical_devices('GPU'):