nanguoyu

# Go to https://docs.conda.io/en/latest/miniconda.html and choose the suitable file link
wget https://repo.anaconda.com/miniconda/Miniconda3-py37_4.12.0-Linux-x86_64.sh

# install Miniconda
bash Miniconda3-py37_4.12.0-Linux-x86_64.sh

conda create -n env_name python=3.7
conda activate env_name
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch

nanguoyu

panic(cpu 1 caller 0xfffffe0026801790): watchdog timeout: no checkins from watchdogd in 93 seconds (127 total checkins since monitoring last enabled)
Debugger message: panic
Memory ID: 0x6
OS release type: User
OS version: 22C65
Kernel version: Darwin Kernel Version 22.2.0: Fri Nov 11 02:04:44 PST 2022; root:xnu-8792.61.2~4/RELEASE_ARM64_T8103
Fileset Kernelcache UUID: ADB288150AFF2B26A022D2179A26F30C
Kernel UUID: D43063DF-7FAB-3E39-9807-2FC6A0C7F76A
Boot session UUID: BD64D3CE-D999-44A9-A66B-88DAF57DAA20
iBoot version: iBoot-8419.60.44

nanguoyu

hyper_output = []
with tqdm(range(-180, 181, 10), position=0) as t:
    for x in t:
        for y in tqdm(range(-180, 181, 10), disable=True):
            for z in tqdm(range(-180, 181, 10), disable=True):
            
                angles = torch.tensor([x,y,z])/180*torch.pi
                Hyper_x = transform_angles(angles=angles).to(device=gpu_computation)
                
                hyper_output.append(model.hyper_stack(Hyper_x).cpu().detach().numpy())

nanguoyu

git clone https://github.com/nanguoyu/GenoCAE.git
cd GenoCAE/
docker build -t gcae/genocae:build -f docker/build.dockerfile .
docker run -it --rm -v ${PWD}:/workspace gcae/genocae:build python3 run_gcae.py --help

nanguoyu

apt-get update && apt-get upgrade -y &&\
    apt-get install -y wget \
    build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev 
    
    
wget https://www.python.org/ftp/python/3.8.0/Python-3.8.0.tgz &&\
    tar -xf Python-3.8.0.tgz &&\
    cd Python-3.8.0 &&\
    ./configure --enable-optimizations &&\
    make -j8 &&\

nanguoyu

yum install gcc-c++

Download CMake from: https://cmake.org/download/

wget https://cmake.org/files/v3.12/cmake-3.12.3.tar.gz

nanguoyu

sudo apt-get install qt5-default
sudo apt-get install opencl-headers
sudo pip install pylint
# Install minimal prerequisites (Ubuntu 18.04 as reference)
sudo apt update && sudo apt install -y cmake g++ wget unzip
# Download and unpack sources
wget -O opencv.zip https://github.com/opencv/opencv/archive/master.zip
wget -O opencv_contrib.zip https://github.com/opencv/opencv_contrib/archive/master.zip
unzip opencv.zip
unzip opencv_contrib.zip

nanguoyu

mkdir coco
cd coco
mkdir images
cd images

wget -c http://images.cocodataset.org/zips/train2017.zip
wget -c http://images.cocodataset.org/zips/val2017.zip
wget -c http://images.cocodataset.org/zips/test2017.zip
wget -c http://images.cocodataset.org/zips/unlabeled2017.zip

nanguoyu

git clone https://git.videolan.org/git/ffmpeg/nv-codec-headers.git
cd nv-codec-headers && make && sudo make install

git clone https://github.com/FFmpeg/FFmpeg.git
cd FFmpeg
# Manually modify nvccflags_default 
./configure --enable-nonfree \
--enable-cuda-nvcc \
--enable-libnpp \
--enable-pic \

nanguoyu

# Nvidia Driver installation
# sudo apt install nvidia-driver-460
# sudo reboot

# CUDA installation
# Version==11.0.3

# If you want to compile OpenCV with CUDA support,
# please install CUDA11.0.1 by net (method2) and then install CUDA11.0.3 by runfile again and dont override driver. 
# Because I find net installtion is different from runfile such as nppi.