CUDA and cuDNN

k2 supports CUDA >= 10.1.

If you want to build k2 from source with GPU support, you have to install cudatoolkit and cuDNN first. This section describes how to do that.

You don’t need to use sudo to install cudatoolkit and cuDNN.

Caution

cudatoolkit installed by conda install is not sufficient to compile k2.

You can choose any CUDA version that is suitable for you.

Note

You can install multiple CUDA versions into different directories on your system.

If you follow this section, you can use source activate-cuda-10.1.sh to activate CUDA 10.1 and source activate-cuda-10.2.sh to activate CUDA 10.2, for instance.

CUDA 10.1

You can use the following commands to install CUDA 10.1. We install it into /ceph-sh1/fangjun/software/cuda-10.1.243. You can replace it if needed.

wget http://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda_10.1.243_418.87.00_linux.run

chmod +x cuda_10.1.243_418.87.00_linux.run

./cuda_10.1.243_418.87.00_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-10.1.243 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 10.1

Now, install cuDNN for CUDA 10.1.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-10.1-linux-x64-v8.0.2.39.tgz

tar xvf cudnn-10.1-linux-x64-v8.0.2.39.tgz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-10.1.243

Set environment variables for CUDA 10.1

Note that we have to set the following environment variables after installing CUDA 10.1. You can save the following code to activate-cuda-10.1.sh and use source activate-cuda-10.1.sh if you want to activate CUDA 10.1.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-10.1.243
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 10.1 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-10.1.243/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Sun_Jul_28_19:07:16_PDT_2019
Cuda compilation tools, release 10.1, V10.1.243

CUDA 10.2

You can use the following commands to install CUDA 10.2. We install it into /ceph-sh1/fangjun/software/cuda-10.2.89. You can replace it if needed.

wget http://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda_10.2.89_440.33.01_linux.run

chmod +x cuda_10.2.89_440.33.01_linux.run

./cuda_10.2.89_440.33.01_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-10.2.89 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 10.2

Now, install cuDNN for CUDA 10.2.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-10.2-linux-x64-v8.0.2.39.tgz

tar xvf cudnn-10.2-linux-x64-v8.0.2.39.tgz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-10.2.89

Set environment variables for CUDA 10.2

Note that we have to set the following environment variables after installing CUDA 10.2. You can save the following code to activate-cuda-10.2.sh and use source activate-cuda-10.2.sh if you want to activate CUDA 10.2.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-10.2.89
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 10.2 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-10.2.89/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_19:24:38_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89

CUDA 11.0

You can use the following commands to install CUDA 11.0. We install it into /ceph-sh1/fangjun/software/cuda-11.0.3. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.0.3/local_installers/cuda_11.0.3_450.51.06_linux.run

chmod +x cuda_11.0.3_450.51.06_linux.run

./cuda_11.0.3_450.51.06_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-11.0.3 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.0

Now, install cuDNN for CUDA 11.0.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-11.0-linux-x64-v8.0.5.39.tgz

tar xvf cudnn-11.0-linux-x64-v8.0.5.39.tgz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-11.0.3

Set environment variables for CUDA 11.0

Note that we have to set the following environment variables after installing CUDA 11.0. You can save the following code to activate-cuda-11.0.sh and use source activate-cuda-11.0.sh if you want to activate CUDA 11.0.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-11.0.3
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.0 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-11.0.3/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:09_PDT_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.TC445_37.28845127_0

CUDA 11.3

You can use the following commands to install CUDA 11.3. We install it into /ceph-sh1/fangjun/software/cuda-11.3.1. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.3.1/local_installers/cuda_11.3.1_465.19.01_linux.run

chmod +x cuda_11.3.1_465.19.01_linux.run

./cuda_11.3.1_465.19.01_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-11.3.1 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.3

Now, install cuDNN for CUDA 11.3.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-11.3-linux-x64-v8.2.0.53.tgz

tar xvf cudnn-11.3-linux-x64-v8.2.0.53.tgz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-11.3.1

Set environment variables for CUDA 11.3

Note that we have to set the following environment variables after installing CUDA 11.3. You can save the following code to activate-cuda-11.3.sh and use source activate-cuda-11.3.sh if you want to activate CUDA 11.3.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-11.3.1
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.3 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-11.3.1/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_May__3_19:15:13_PDT_2021
Cuda compilation tools, release 11.3, V11.3.109
Build cuda_11.3.r11.3/compiler.29920130_0

CUDA 11.5

You can use the following commands to install CUDA 11.5. We install it into /ceph-sh1/fangjun/software/cuda-11.5.2. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.5.2/local_installers/cuda_11.5.2_495.29.05_linux.run

chmod +x cuda_11.5.2_495.29.05_linux.run

./cuda_11.5.2_495.29.05_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-11.5.2 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.5

Now, install cuDNN for CUDA 11.5.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.3.2.44_cuda11.5-archive.tar.xz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-11.5.2

Set environment variables for CUDA 11.5

Note that we have to set the following environment variables after installing CUDA 11.5. You can save the following code to activate-cuda-11.5.sh and use source activate-cuda-11.5.sh if you want to activate CUDA 11.5.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-11.5.2
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.5 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-11.5.2/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0

CUDA 11.6

You can use the following commands to install CUDA 11.6. We install it into /ceph-sh1/fangjun/software/cuda-11.6.1. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run

chmod +x cuda_11.6.1_510.47.03_linux.run

./cuda_11.6.1_510.47.03_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-11.6.1 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.6

Now, install cuDNN for CUDA 11.6.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-11.6.1

Set environment variables for CUDA 11.6

Note that we have to set the following environment variables after installing CUDA 11.6. You can save the following code to activate-cuda-11.6.sh and use source activate-cuda-11.6.sh if you want to activate CUDA 11.6.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-11.6.1
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.6 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-11.6.1/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Thu_Feb_10_18:23:41_PST_2022
Cuda compilation tools, release 11.6, V11.6.112
Build cuda_11.6.r11.6/compiler.30978841_0

CUDA 11.7

You can use the following commands to install CUDA 11.7. We install it into /ceph-sh1/fangjun/software/cuda-11.7.1. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.7.1/local_installers/cuda_11.7.1_515.65.01_linux.run

chmod +x cuda_11.7.1_515.65.01_linux.run

./cuda_11.7.1_515.65.01_linux.run \
  --silent \
  --toolkit \
  --installpath=/ceph-sh1/fangjun/software/cuda-11.7.1 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.7

Now, install cuDNN for CUDA 11.7.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz --strip-components=1 -C /ceph-sh1/fangjun/software/cuda-11.7.1

Set environment variables for CUDA 11.7

Note that we have to set the following environment variables after installing CUDA 11.7. You can save the following code to activate-cuda-11.7.sh and use source activate-cuda-11.7.sh if you want to activate CUDA 11.7.

export CUDA_HOME=/ceph-sh1/fangjun/software/cuda-11.7.1
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.7 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/ceph-sh1/fangjun/software/cuda-11.7.1/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Jun__8_16:49:14_PDT_2022
Cuda compilation tools, release 11.7, V11.7.99
Build cuda_11.7.r11.7/compiler.31442593_0

CUDA 11.8

You can use the following commands to install CUDA 11.8. We install it into /star-fj/fangjun/software/cuda-11.8.0. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run

chmod +x cuda_11.8.0_520.61.05_linux.run

./cuda_11.8.0_520.61.05_linux.run \
  --silent \
  --toolkit \
  --installpath=/star-fj/fangjun/software/cuda-11.8.0 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 11.8

Now, install cuDNN for CUDA 11.8.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.9.1.23_cuda11-archive.tar.xz --strip-components=1 -C /star-fj/fangjun/software/cuda-11.8.0

Set environment variables for CUDA 11.8

Note that we have to set the following environment variables after installing CUDA 11.8. You can save the following code to activate-cuda-11.8.sh and use source activate-cuda-11.8.sh if you want to activate CUDA 11.8.

export CUDA_HOME=/star-fj/fangjun/software/cuda-11.8.0
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS

To check that you have installed CUDA 11.8 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/star-fj/fangjun/software/cuda-11.8.0/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0

CUDA 12.1

You can use the following commands to install CUDA 12.1. We install it into /star-fj/fangjun/software/cuda-12.1.0. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run

chmod +x cuda_12.1.0_530.30.02_linux.run

./cuda_12.1.0_530.30.02_linux.run \
  --silent \
  --toolkit \
  --installpath=/star-fj/fangjun/software/cuda-12.1.0 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 12.1

Now, install cuDNN for CUDA 12.1.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.9.5.29_cuda12-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.9.5.29_cuda12-archive.tar.xz --strip-components=1 -C /star-fj/fangjun/software/cuda-12.1.0

Set environment variables for CUDA 12.1

Note that we have to set the following environment variables after installing CUDA 11.8. You can save the following code to activate-cuda-12.1.sh and use source activate-cuda-12.1.sh if you want to activate CUDA 12.1.

export CUDA_HOME=/star-fj/fangjun/software/cuda-12.1.0
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/extras/CUPTI/lib64:$LD_LIBRARY_PATH
export CUDAToolkit_ROOT_DIR=$CUDA_HOME
export CUDAToolkit_ROOT=$CUDA_HOME

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS
export CUDAToolkit_TARGET_DIR=$CUDA_HOME/targets/x86_64-linux

To check that you have installed CUDA 12.1 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/star-fj/fangjun/software/cuda-12.1.0/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Feb__7_19:32:13_PST_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0

CUDA 12.4

You can use the following commands to install CUDA 12.4. We install it into /star-fj/fangjun/software/cuda-12.4.0. You can replace it if needed.

wget https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda_12.4.0_550.54.14_linux.run

chmod +x cuda_12.4.0_550.54.14_linux.run

./cuda_12.4.0_550.54.14_linux.run \
  --silent \
  --toolkit \
  --installpath=/star-fj/fangjun/software/cuda-12.4.0 \
  --no-opengl-libs \
  --no-drm \
  --no-man-page

Install cuDNN for CUDA 12.4

Now, install cuDNN for CUDA 12.4.

wget https://huggingface.co/csukuangfj/cudnn/resolve/main/cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz

tar xvf cudnn-linux-x86_64-8.9.7.29_cuda12-archive.tar.xz --strip-components=1 -C /star-fj/fangjun/software/cuda-12.4.0

Set environment variables for CUDA 12.4

Note that we have to set the following environment variables after installing CUDA 11.8. You can save the following code to activate-cuda-12.4.sh and use source activate-cuda-12.4.sh if you want to activate CUDA 12.4.

export CUDA_HOME=/star-fj/fangjun/software/cuda-12.4.0
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$CUDA_HOME/extras/CUPTI/lib64:$LD_LIBRARY_PATH
export CUDAToolkit_ROOT_DIR=$CUDA_HOME
export CUDAToolkit_ROOT=$CUDA_HOME

export CUDA_TOOLKIT_ROOT_DIR=$CUDA_HOME
export CUDA_TOOLKIT_ROOT=$CUDA_HOME
export CUDA_BIN_PATH=$CUDA_HOME
export CUDA_PATH=$CUDA_HOME
export CUDA_INC_PATH=$CUDA_HOME/targets/x86_64-linux
export CFLAGS=-I$CUDA_HOME/targets/x86_64-linux/include:$CFLAGS
export CUDAToolkit_TARGET_DIR=$CUDA_HOME/targets/x86_64-linux

To check that you have installed CUDA 12.4 successfully, please run:

which nvcc

nvcc --version

The output should look like the following:

/star-fj/fangjun/software/cuda-12.4.0/bin/nvcc

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Tue_Feb_27_16:19:38_PST_2024
Cuda compilation tools, release 12.4, V12.4.99
Build cuda_12.4.r12.4/compiler.33961263_0