NN Basic
Env # install IDE Anaconda Venv conda env list conda create --name <venv_name> python==<version> conda activate <venv_name> conda list conda deactivate # install Nvidia GetForce Driver nvidia-smi # install by pip or conda, attention to version alignment # torch from https://pytorch.org/ based on CUDA_VERSION # Sci-computer Lib, such as torchsummary, pandas,matplotlib, scikit-learn... # transformers datasets accelerate # bak conda create --name <venv_name>_snapshot --clone <venv_name> conda env remove --name <venv_name>_snapshot # proxy vim ~/.bashrc PROXY_SERVER="http://your_proxy_server_ip:port" export http_proxy="$PROXY_SERVER" export HTTP_PROXY="$http_proxy" export https_proxy="$PROXY_SERVER" export HTTPS_PROXY="$https_proxy" # export all_proxy="socks5://your_proxy_server_ip:port" # export ALL_PROXY="$all_proxy" # export no_proxy="localhost,127.0.0.1,::1,.local" # export NO_PROXY="$no_proxy" export HF_ENDPOINT=https://hf-mirror.com export HF_XET_CACHE=https://hf-mirror.com/xet source ~/.bashrc # verify # export HUGGINGFACE_TOKEN=<token> hf auth login hf auth whoami Tensor 一种专用于神经网络GPU计算的多维数组结构 ...