Allen Guo gglin001

Multiple SSH Keys settings for different github account

create different public key

create different ssh key according the article Mac Set-Up Git

$ ssh-keygen -t rsa -C "[email protected]"

Serialization: best practices

(In this document I pay attention mostly to data storage in scientific applications, not to web protocols.)

Traditional approaches

XML:
- slow to parse
- schemas (.xsd) are human-readable but hard to edit without special software
tooling for generating code for reading/writing is limited (mostly to Java)

Goal

Install working tensorflow or pytorch via standard conda environment workflow.

Basic Setup : Install `pytorch` in a fresh conda environment

The recommended conda-based install process works smoothly:

$ # Create a fresh environment

Visible Symbols in C++ Projects

Intro

This is a spontaneous and verbatime log of a conversion with Boris Staletic @bstaletic from March, 24th 2018 on the pybind11 gitter. Thank you so much, Boris!

To confuse future readers, we decided to write down the discussion and I added typos and unnecessarily long sentences.

The issue came up with linking a CMake (library) target into a pybind11 module (in openPMD-api).

	from __future__ import annotations

	import argparse
	import logging
	import re

	# eg: `dense<"0xFFFF..."> : tensor<384xi32>`
	# eg: `dense<[7031, 6266, 5765, ...]> : tensor<64xi32>`
	RE_dense = re.compile(r"dense\<[\"\[][a-zA-Z0-9-,\ ]*[\"\]]\>")

	import argparse
	import os

	parser = argparse.ArgumentParser()
	parser.add_argument("raw", type=str, help="raw")
	parser.add_argument("--inplace", "-i", action="store_false", help="inplace")

	args = parser.parse_args()
	# args = []
	# cmd = "cmake --no-warn-unused-cli -DCMAKE_BUILD_TYPE:STRING=Debug ..."

	# conda config --add channels conda-forge
	# conda config --set channel_priority strict

	curl -Ls https://micro.mamba.pm/api/micromamba/linux-64/latest \| tar -xvj bin/micromamba
	mkdir -p $HOME/micromamba
	mv ./bin $HOME/micromamba
	$HOME/micromamba/bin/micromamba shell init --shell bash --root-prefix=$HOME/micromamba

	micromamba config append channels conda-forge
	micromamba create -n pyenv python=3.12

	import argparse
	import binascii
	import tarfile

	from io import BytesIO

	import qrcode

	parser = argparse.ArgumentParser("xx")
	parser.add_argument("--input_file", type=str, required=True, help="input file")

	option(AUTO_CCACHE "Use ccache to speed up rebuilds" ON)
	find_program(CCACHE_PROGRAM ccache)
	if(CCACHE_PROGRAM AND ${AUTO_CCACHE})
	message(STATUS "Using ${CCACHE_PROGRAM} as compiler launcher")
	set(CMAKE_CXX_COMPILER_LAUNCHER "${CCACHE_PROGRAM}")
	# requires at least CMake 3.9 to be any use
	set(CMAKE_CUDA_COMPILER_LAUNCHER "${CCACHE_PROGRAM}")
	endif()

	cmake_minimum_required(VERSION 3.0)
	project(project)

	set(CMAKE_VERBOSE_MAKEFILE ON)

	# a shared library
	add_library(lib SHARED lib.cpp)

	add_executable(main main.cpp)