Aymeric Dujardin adujardin

Debugging CUDA exe

/usr/local/cuda/bin/cuda-gdb --arg foo arg1 arg2

Enable GDB option :

nmcli d wifi hotspot ifname <interface> ssid <ssid> password <password>

Example:

	import os
	import argparse
	import requests
	import sys

	def print_help():
	help_text = """
	Download ZED SDK AI models from Stereolabs.

	Usage:

	# From https://docs.ultralytics.com/fr/integrations/tensorrt/#installation
	from ultralytics import YOLO
	import os
	import cv2

	# Export the model to TensorRT format, this will take a long time but should be done only once (per GPU)
	if not os.path.isfile('yolov8n.engine'):
	# Load the YOLOv8 model
	model = YOLO('yolov8n.pt')

	import cv2
	import numpy as np

	calib_fx=615
	calib_baseline=10

	def depth_to_disp(depth_filename, disp_filename):
	cv_file = cv2.FileStorage(depth_filename, cv2.FILE_STORAGE_READ)
	matrix = cv_file.getNode("depth").mat()
	cv_file.release()

	# https://github.com/microsoft/mimalloc
	VERSION="1.8.2"
	wget https://github.com/microsoft/mimalloc/archive/refs/tags/v${VERSION}.zip
	unzip v${VERSION}.zip
	cd mimalloc-${VERSION}
	mkdir build ; cd build ; cmake .. ; make -j ; sudo make install
	cd ../../
	rm -rf v${VERSION}.zip mimalloc-${VERSION}
	sudo ln -s /usr/local/lib/libmimalloc.so /usr/lib/libmimalloc.so

	import os
	import shutil
	from concurrent.futures import ThreadPoolExecutor

	def remove_file(file_path):
	try:
	os.remove(file_path)
	print(f"File '{file_path}' removed successfully.")
	except Exception as e:
	print(f"Failed to remove file '{file_path}': {e}")

	#!/bin/bash

	host=$(cat /etc/hostname)
	echo "PC Name: ${host}"

	cpu=$(cat /proc/cpuinfo \| grep "model name" \| head -1 \| sed "s/model name : //")
	echo "CPU: ${cpu}"

	motherboard=$(sudo dmidecode -t 2 \| grep "Product Name" \| sed "s/ Product Name: //")
	echo "Motherboard: ${motherboard}"