NVIDIA Jetson setup issue: coder.checkGpuInstall can’t find nvcc
I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you!I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you! I am trying to use the GPU coder to send converted code to my Jetson Orin Nano. However, when I use the coder.checkGpuInstall command, it says that it can’t find nvcc.
I followed the setup instructions with the variables here:
Documentation
and referenced the following questions before posting this one:
https://www.mathworks.com/matlabcentral/answers/506483-ncc-problem-in-jetson-nano
https://www.mathworks.com/matlabcentral/answers/2068206-checking-for-cuda-availability-on-the-target-checking-for-nvcc-in-the-target-system-path-war
This is a cropped version of my script:
if (boardName == "jetson")
if isempty(deviceAddress)
hwobj = jetson();
else
hwobj = jetson(deviceAddress,userName,password);
end
else
if isempty(deviceAddress)
hwobj = drive();
else
hwobj = drive(deviceAddress,userName,password);
end
end
if (boardName == "jetson")
envCfg = coder.gpuEnvConfig(‘jetson’);
else
envCfg = coder.gpuEnvConfig(‘drive’);
end
envCfg.BasicCodegen = 1;
envCfg.HardwareObject = hwobj;
coder.checkGpuInstall(envCfg);
and the output:
Checking for CUDA availability on the Target…
Checking for ‘nvcc’ in the target system path…
Checking for cuDNN library availability on the Target…
Checking for TensorRT library availability on the Target…
Checking for prerequisite libraries is complete.
Gathering hardware details…
Checking for third-party library availability on the Target…
Warning: Unable to find the SDL 1.2 library on the target.
> In nvidiaio.internal.checkForSdlLibs (line 14)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to find one of the packages "sox", "libsox-fmt-all" or "libsox-dev". Make sure to have installed these
packages on the target hardware using "apt-get". These are required for successful deployment of Audio File Read block
in Simulink.
> In nvidiaio.internal.checkSoXVersion (line 17)
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Warning: Unable to fetch information about GPU devices.
> In nvidiaio.internal.getGpuInfo (line 77)
In nvidiaboard/getGpuInfo
In nvidiaboard/checkAndGetHardwareConfig
In jetson
In gpu_jetson_setup (line 10)
Gathering hardware details is complete.
Board name : NVIDIA Jetson Orin Nano Developer Kit
CUDA Version : 12.2
cuDNN Version : 8.9
TensorRT Version : 8.6
GStreamer Version : 1.20.3
V4L2 Version : 1.22.1-2build1
SDL Version :
OpenCV Version : 4.8.0
Available Webcams :
Available GPUs :
Available Digital Pins : 7 11 12 13 15 16 18 19 21 22 23 24 26 29 31 32 33 35 36 37 38 40
Compatible GPU : FAILED (Unable to find GPU information. This is due to the missing of ‘nvcc’ on the system path. Update the ‘.bashrc’ script on the target to set up the required environment variables.)
CUDA Environment : PASSED
Runtime : PASSED
cuFFT : PASSED
cuSOLVER : PASSED
cuBLAS : PASSED
Basic Code Generation : PASSED
In accordance with the setup guide, I updated both the .bashrc file (and /etc/environment file for good measure) on the jetson, I have pasted them below:
.bashrc excerpt:
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples
# If not running interactively, don’t do anything
case $- in
*i*) ;;
*)
export PATH=$PATH:/usr/local/cuda/bin
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
export ARM_COMPUTELIB=$ARM_COMPUTELIB:/usr/local/arm_compute
return;;
esac
# don’t put duplicate lines or lines starting with space in the history.
# See bash(1) for more options
HISTCONTROL=ignoreboth
/etc/environment:
PATH="/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin"
LANG="en_US.UTF-8"
LD_LIBRARY_PATH="/usr/local/cuda/lib64"
And to confirm, the jetson does show nvcc is installed correctly:
$ nvcc –version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Aug_15_22:08:11_PDT_2023
Cuda compilation tools, release 12.2, V12.2.140
Build cuda_12.2.r12.2/compiler.33191640_0
Matlab version info:
MATLAB Version: 24.1.0.2628055 (R2024a) Update 4
Operating System: Linux 5.15.0-116-generic #126~20.04.1-Ubuntu SMP Mon Jul 1 15:40:07 UTC 2024 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
Any help on this topic would be much appreciated. Thank you! gpu, nvidia, jetson, nvcc, cuda, error, env, matlab coder, embedded coder, hardware, gpu coder MATLAB Answers — New Questions
