echo -e "\n## CUDA and cuDNN paths"  >> ~/.bashrc
echo 'export PATH=/usr/local/cuda-12.6/bin:${PATH}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64:${LD_LIBRARY_PATH}' >> ~/.bashrc
echo 'export CUDA_HOME=/usr/local/cuda' >> ~/.bashrc
echo 'export PYTHONPATH=~/caffe/python/:' >> ~/.bashrc
source ~/.bashrc
echo -e "\n## CUDA and cuDNN paths"  >> ~/.bashrc
echo 'export PATH=/usr/local/cuda-12.5/bin:${PATH}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-12.5/lib64:${LD_LIBRARY_PATH}' >> ~/.bashrc
echo 'export CUDA_HOME=/usr/local/cuda' >> ~/.bashrc
echo 'export PYTHONPATH=~/caffe/python/:' >> ~/.bashrc
source ~/.bashrc

echo -e "\n## CUDA and cuDNN paths"  >> ~/.bashrc
echo 'export PATH=/usr/local/cuda-12.6/bin:${PATH}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-12.6/lib64:${LD_LIBRARY_PATH}' >> ~/.bashrc
echo 'export CUDA_HOME=/usr/local/cuda' >> ~/.bashrc
echo 'export PYTHONPATH=~/caffe/python/:' >> ~/.bashrc
source ~/.bashrc

echo -e "\n## CUDA and cuDNN paths"  >> ~/.bashrc
eecho 'export PATH=/usr/local/cuda-13.3/bin:${PATH}' >> ~/.bashrc
echo 'export LD_LIBRARY_PATH=/usr/local/cuda-13.3/lib64:${LD_LIBRARY_PATH}' >> ~/.bashrc
echo 'export CUDA_HOME=/usr/local/cuda' >> ~/.bashrc
echo 'export PYTHONPATH=~/caffe/python/:' >> ~/.bashrc
source ~/.bashrc

wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo mv cuda-ubuntu2004.pin /etc/apt/preferences.d/cuda-repository-pin-600
wget https://developer.download.nvidia.com/compute/cuda/11.5.0/local_installers/cuda-repo-ubuntu2004-11-5-local_11.5.0-495.29.05-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu2004-11-5-local_11.5.0-495.29.05-1_amd64.deb
sudo apt-key add /var/cuda-repo-ubuntu2004-11-5-local/7fa2af80.pub
sudo apt-get update
sudo apt-get -y install cuda

$ wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-ubuntu1604.pin
$ sudo mv cuda-ubuntu1604.pin /etc/apt/preferences.d/cuda-repository-pin-600
$ wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-ubuntu1604-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
$ sudo dpkg -i cuda-repo-ubuntu1604-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
$ sudo apt-key add /var/cuda-repo-10-2-local-10.2.89-440.33.01/7fa2af80.pub
$ sudo apt-get update
$ sudo apt-get -y install cuda
$ sudo apt-get -y install cuda-toolkit-12-3
$ cuda-install-samples-11.5.sh ~ 
$ cuda-install-samples-11.6.sh ~ 
$ wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7_7.6.5.32-1+cuda10.2_amd64.deb
$ wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7-dev_7.6.5.32-1+cuda10.2_amd64.deb

●sudo apt install lm-sensors git proftpd numactl hwloc nvme-cli 

 $ sudo systemctl enable proftpd

$ sudo systemctl restart proftpd
x　1604 $ sudo apt install lm-sensors git python3-pip proftpd libturbojpeg python3-pydot

$ sudo apt install lm-sensors git python3-pip proftpd libturbojpeg libturbojpeg-dev python3-pydot lm-sensors  numactl hwloc

$ sudo apt-get -y install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
$ sudo apt-get -y install --no-install-recommends libboost-all-dev
$ sudo apt-get -y install libatlas-base-dev libopenblas-dev
$ sudo apt-get -y install cmake
$ sudo apt-get -y install liblmdb-dev libgflags-dev libgoogle-glog-dev doxygen
$ sudo apt-get -y install python3-skimage

x1604 $ sudo ln -s /usr/lib/x86_64-linux-gnu/libturbojpeg.so.0.1.0 /usr/lib/x86_64-linux-gnu/libturbojpeg.so

$ git clone https://github.com/NVIDIA/caffe.git
$ cd caffe
$ cp Makefile.config.example Makefile.config 
$ sudo nano  Makefile.config 
$ git clone https://github.com/NVIDIA/nccl.git
$ cd nccl
$ sudo make install -j$(nproc)
$ cd caffe
$ make pycaffe -j$(nproc) 
$ mkdir build
$ cd build
$ cmake ..
$ make all -j$(nproc)
$ make pycaffe -j$(nproc)
$ make install
$ make runtest
$ make pytest

$ sudo nano .bashrc
export PYTHONPATH=~/caffe/python/:
source ~/.bashrc

x$ sudo python3 -m pip install --upgrade chainer cupy mock protobuf pbr matplotlib pip
$ sudo python2 -m pip install --upgrade numpy             chainer cupy mock protobuf pbr matplotlib pip

$ sudo  pip install --upgrade scikit-image

$ ./data/mnist/get_mnist.sh
$ ./examples/mnist/create_mnist.sh
$ ./examples/mnist/train_lenet.sh

docker 

$ sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
$ sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
$ sudo apt-get update
$ sudo apt-get install docker-ce
$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
  sudo tee /etc/apt/sources.list.d/nvidia-docker.list
$ sudo apt-get update

$ sudo apt-get install -y nvidia-docker2

$ sudo pkill -SIGHUP dockerd

$ sudo dpkg -i cuda-repo-ubuntu1804-10-0-local-10.0.130-410.48_1.0-1_amd64.deb
$ sudo dpkg -i cuda-repo-ubuntu1604-10-1-local-10.1.168-418.67_1.0-1_amd64.deb
$ sudo apt-key add /var/cuda-repo-10-1-local-10.1.168-418.67/7fa2af80.pub
$ sudo apt-get update
$ sudo apt install cuda

$ wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/libcudnn7_7.6.5.32-1+cuda10.2_amd64.deb

$ 
ubuntu18.04.3 docker

$ sudo apt-get update

$ sudo apt-get install \
    apt-transport-https \
    ca-certificates \
    curl \
    gnupg-agent \
    software-properties-common
$ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

$ sudo apt-key fingerprint 0EBFCD88

 sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"
$ sudo apt-get update
$ sudo apt-get install docker-ce

$ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
  sudo apt-key add -
$ distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
$ curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
$ sudo apt-get update

$ sudo apt-get install -y nvidia-docker2

$ sudo pkill -SIGHUP dockerd