appleparan

# Image for vision and tabular machine learnig project with jupterlab
FROM nvcr.io/nvidia/tensorrt:24.10-py3 AS base

# Declare environmental variables
ENV DEBIAN_FRONTEND=noninteractive \
    DEBCONF_NONINTERACTIVE_SEEN=true \
    TZ=Asia/Seoul \
    LANG=en_US.UTF-8 \
    LC_ALL=en_US.UTF-8 \
    SHELL=/bin/bash \

appleparan

FROM centos:centos7.8.2003

# Install required packages
RUN yum groupinstall -y 'Development Tools'
RUN yum install -y gcc \
    make \
    patch \
    zlib-devel \
    bzip2 \
    bzip2-devel \

appleparan

import pandas as pd
from datasets import load_dataset_builder, load_dataset, Dataset

def main(dataset_name1 = 'kyujinpy/OpenOrca-KO', dataset_name2 = 'Open-Orca/OpenOrca', split='train'):
    # Load the dataset builder
    builder1 = load_dataset_builder(dataset_name1)
    builder2 = load_dataset_builder(dataset_name2)

    # kyujinpy/OpenOrca-KO
    # id, input, instruction, output

appleparan

https://www.facebook.com/groups/juliakorea/permalink/2757780527680241/ 답변

와 좋은 질문이네요. 덕분에 저도 원론적인 부분에서 다시 이해를 다잡는 좋은 기회가 되었습니다.

• 기본적으로 Julia의 Argument Passing 은 "pass-by-sharing"입니다. 이 점을 염두에 두셔야 합니다.

그럼 BenchmarkTools.jl의 @btime과 InteractiveUtils의 @code_lowered를 이용해서 각자의 코드가 내부적으로 어떻게 동작하는 지 알아봅시다.

1. test1

appleparan

Keybase proof

I hereby claim:

• I am appleparan on github.
• I am appleparan (https://keybase.io/appleparan) on keybase.
• I have a public key ASC72HifOLmY_OF7OZd3w4FUxpjbiS6zQvQQ7_enOcMjZgo

To claim this, I am signing this object:

appleparan

#include <stdio.h>
#include <complex.h>
/*
Compile option : icc -std=c99 main.c -o main
*/
int main() {
    double complex a;

    a = 1.0 + I * 2.0;

appleparan

using DataFrames

s = DataFrame([[true], [true], [false], [false], [false], [false], [false], [false], [false]],
[:MBF, :SBF, :VOX1, :HCM1, :YHP1, :SFF, :ACE2, :SWI5, :CLN3])

for step in 1:30
    last = s[end, :]
    new = proceed(last)
    push!(s, new)
end

appleparan

#= /home/appleparan/src/DebugFlux/test_curnn.jl:12 =# Zygote.@code_adjoint(gradient((m->begin
                #= /home/appleparan/src/DebugFlux/test_curnn.jl:12 =#
                sum(m(x))
            end), m)) = Zygote.Adjoint(1: (%4, %5 :: Zygote.Context, %1, %2, %3)
  %6 = (ZygoteRules._pullback)(%5, tuple, %2)
  %7 = (getindex)(%6, 1)
  %8 = (getindex)(%6, 2)                                                                                                                                                                                                                                         %9 = (ZygoteRules._pullback)(%5, Core._apply, ZygoteRules.pullback, %7, %3)
  %10 = (getindex)(%9, 1)                                                                                                                                                                                                                                        %11 = (getindex)(%9, 2)
  %12 = (ZygoteRules._pullback)(%5, Base.indexed_iterate, %10, 1)
  

appleparan

# This file is machine-generated - editing it directly is not advised

[[AbstractFFTs]]
deps = ["LinearAlgebra"]
git-tree-sha1 = "380e36c66edfa099cd90116b24c1ce8cafccac40"
uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
version = "0.4.1"

[[AbstractTrees]]
deps = ["Markdown", "Test"]

appleparan

• KNL (Xeon Phi) only

FFTW compilation option

• Specific compiler option

$ CC=icc CFLAGS="-fast -fPIC -traceback -xCOMMON-AVX512" ./configure --prefix=$HOME/usr/local/fftw_mic/ --enable-avx512 --enable-openmp
$ make && make install