weimeng23

<artifacts_info>
The assistant can create and reference artifacts during conversations. Artifacts are for substantial, self-contained content that users might modify or reuse, displayed in a separate UI window for clarity.

# Good artifacts are...
- Substantial content (>15 lines)
- Content that the user is likely to modify, iterate on, or take ownership of
- Self-contained, complex content that can be understood on its own, without context from the conversation
- Content intended for eventual use outside the conversation (e.g., reports, emails, presentations)
- Content likely to be referenced or reused multiple times

weimeng23

cd path/to/boost_1_82_0
./bootstrap.sh --help

./bootstrap.sh --prefix=path/to/installation/prefix
./b2 install

weimeng23

# GCC version must be greater than or equal to 9
# greater than or equal to python3.8
# cuda, cudnn need to be installed

curl -L -o onnxruntime-v1.16.3.tar.gz https://github.com/microsoft/onnxruntime/archive/refs/tags/v1.16.3.tar.gz
tar -zxvf onnxruntime-v1.16.3.tar.gz
cd onnxruntime-v1.16.3

# ./build.sh --use_cuda --cudnn_home /usr/local/cuda-11.8 --cuda_home /usr/local/cuda-11.8 --allow_running_as_root --skip_submodule_sync --parallel
# ./build.sh --config Release --use_cuda --cudnn_home /usr/local/cuda-11.8 --cuda_home /usr/local/cuda-11.8 --allow_running_as_root --skip_submodule_sync --parallel

weimeng23

# install bzip2
# sudo yum install -y bzip2
# sudo apt-get install -y bzip2

wget https://gcc.gnu.org/pub/gcc/releases/gcc-14.2.0/gcc-14.2.0.tar.gz
tar -zxvf gcc-14.2.0.tar.gz
cd gcc-14.2.0

./contrib/download_prerequisites

weimeng23

# CentOS-Base.repo
#
# The mirror system uses the connecting IP address of the client and the
# update status of each mirror to pick mirrors that are updated to and
# geographically close to the client.  You should use this for CentOS updates
# unless you are manually picking other mirrors.
#
# If the mirrorlist= does not work for you, as a fall back you can try the 
# remarked out baseurl= line instead.
#

weimeng23

cmake_minimum_required(VERSION 3.14 FATAL_ERROR)

# 设置项目名称
project(LearnCmake VERSION 1.0 LANGUAGES CXX)

# 添加可执行文件
add_library(add STATIC add.cc)

add_executable(main main.cc)

weimeng23

wget https://github.com/bminor/glibc/archive/refs/tags/glibc-2.35.tar.gz
tar xvf glibc-2.35.tar.gz
cd glibc-glibc-2.35
mkdir build
cd build
../configure --prefix=/path/to/install 
make -j10
make install

weimeng23

logger = logging.getLogger(__name__)
logger.setLevel(level=logging.DEBUG)

formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
formatter = logging.Formatter('%(asctime)s | %(levelname)s | %(filename)s | %(threadName)s | %(funcName)s | %(lineno)s | %(message)s') 

fh = logging.FileHandler("log.txt")
fh.setLevel(logging.INFO)
fh.setFormatter(formatter)
logger.addHandler(fh)

weimeng23

class MyBertForSequenceClassification(BertForSequenceClassification):
    def forward(self, input_ids=None, attention_mask=None, token_type_ids=None):
        outputs = super().forward(
            input_ids=input_ids,
            attention_mask=attention_mask,
            token_type_ids=token_type_ids,
        )
        return outputs.logits

weimeng23

{
  "$schema": "https://raw.githubusercontent.com/JanDeDobbeleer/oh-my-posh/main/themes/schema.json",
  "palette": {
    "white": "#FFFFFF",
    "tan": "#CC3802",
    "teal": "#047E84",
    "plum": "#9A348E",
    "blush": "#DA627D",
    "salmon": "#FCA17D",
    "sky": "#86BBD8",