TensorFlow: Difference between revisions

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==Install==
==Install==
{|
| valign="top" colspan="2" |
<syntaxhighlight lang="bash">
export PATH="/usr/local/cuda-12.0/bin:${PATH}"
export LD_LIBRARY_PATH="/usr/local/cuda-12.0/lib64:${LD_LIBRARY_PATH}"
# ls -lah /usr/local/cuda-12.0/lib64/|grep libnvinfer
# ls -lah /usr/local/cuda-12.0/lib64/|grep libcudart
sudo update-alternatives --config cuda
nvcc --version
</syntaxhighlight>
|-
| colspan="2" |
----
|-
| valign="top" |
<syntaxhighlight lang="bash">
sudo apt udpate
sudo apt install python3-dev python3-pip python3-venv
# sudo apt install nvidia-cuda-toolkit
</syntaxhighlight>
| valign="top" |
<syntaxhighlight lang="bash">
apk update
apk add bash gcc musl-dev python3 python3-dev py3-pip libxslt-dev libxml2-dev
# apk add nvidia-cuda-toolkit
</syntaxhighlight>
|-
| colspan="2" |
----
|-
| valign="top" |
<syntaxhighlight lang="bash">
python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow"
source ~/.venv/tensorflow/bin/activate
pip install --upgrade pip
</syntaxhighlight>
| valign="top" |
<syntaxhighlight lang="bash">
python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow"
source ~/.venv/tensorflow/bin/activate
pip install --upgrade pip
</syntaxhighlight>
|-
| colspan="2" |
----
|-
| valign="top" colspan="2" |
<syntaxhighlight lang="bash">
# export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
# pip install jep ads gspread
</syntaxhighlight>
|-
| colspan="2" |
----
|-
| valign="top" |
<syntaxhighlight lang="bash">
pip install tensorflow
pip show tensorflow
pip install tensorrt
pip show tensorrt
</syntaxhighlight>
| valign="top" |
<syntaxhighlight lang="bash">
pip install tensorflow[and-cuda]
pip install tensorflow
pip show tensorflow
pip install tensorrt
pip show tensorrt
</syntaxhighlight>
|-
| colspan="2" |
----
|-
| valign="top" colspan="2" |
<syntaxhighlight lang="bash">
python -c 'import tensorflow as tf; print(tf.__version__)'
python -c 'import tensorflow as tf; print(tf.test.is_gpu_available())'
python -c 'import tensorflow as tf; print("Tensorflow Version: ", tf.__version__)'
python -c 'import tensorflow as tf; print(tf.config.list_physical_devices("GPU"))'
python -c 'import tensorflow as tf; print(tf.sysconfig.get_build_info()["cudnn_version"])'
pip uninstall tensorflow
</syntaxhighlight>
|}
==CUDA Toolkit==
'''verify cuda-capable gpu:'''
cat /proc/driver/nvidia/version
apt search nvidia-headless*
apt search nvidia-driver-*
ubuntu-drivers devices
lspci | grep -i nvidia
lsmod | grep -i nvidia
lspci | grep -e VGA
lspci | grep VGA
nvcc --version
dkms status
nvidia-smi
<syntaxhighlight lang="bash">
curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub\
| sudo gpg --dearmor -o /usr/share/keyrings/cuda-archive-keyring.gpg
cat << EOF | sudo tee /etc/apt/sources.list.d/cuda-ubuntu2204-x86_64.list >/dev/null
deb [arch=$(dpkg --print-architecture)\
signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg]\
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /
EOF
sudo apt install cuda
sudo apt install cuda-drivers
</syntaxhighlight>
'''Or:'''
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt update
sudo apt install cuda
sudo apt install cuda-drivers
==Reinstall Nvidia==
sudo apt update && sudo apt list --upgradable && sudo apt upgrade
sudo /usr/local/cuda-X.Y/bin/cuda-uninstall
sudo apt autoremove nvidia* --purge
sudo /usr/bin/nvidia-uninstall
nvidia-detector
lspci | grep -e VGA
ubuntu-drivers devices
sudo ubuntu-drivers autoinstall
sudo apt install nvidia-driver-525 cuda
==Knowledge==
{|
| valign="top" |
<syntaxhighlight lang="bash">
python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (academia) $
</syntaxhighlight>
| valign="top" |
<syntaxhighlight lang="bash">
python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (molecule) $
</syntaxhighlight>
| valign="top" |
<source lang="PowerShell">
python -m venv .venv --prompt="TensorFlow"
# .venv\Scripts\activate
# (molecule) PS>
</syntaxhighlight>
|-
| colspan="3" |
----
|-
| valign="top" |
apk list --installed|grep ^bash
apk list --installed|grep  bash
apk add gcc
| valign="top" |
apk search | grep ^bash
apk search | grep  bash
apk add g++
| valign="top" |
apk info --contents bash
apk info --rdepends bash
apk add libc6-compat
|-
| colspan="3" |
----
|-
| valign="top" |
sudo apt search  nvidia-cuda-toolkit
sudo apt install nvidia-cuda-toolkit
| valign="top" |
sudo find / -name 'libcudart.so*'
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcuda*
| valign="top" |
nvidia-smi
sudo apt install cuda
|-
| colspan="3" |
----
|-
| valign="top" |
'''Installation  :'''
driver        »
driver & cuda »
'''Installation  :'''
driver        »
driver & cuda »
'''Installation  :'''
driver        »
driver & cuda »
| valign="top" |
'''Proprietary:'''
sudo apt install nvidia-driver-510
sudo apt install nvidia-driver-510 cuda
'''Proprietary:'''
sudo apt install nvidia-driver-525
sudo apt install nvidia-driver-525 cuda
'''Proprietary:'''
sudo apt install nvidia-headless-525
sudo apt install nvidia-headless-525 cuda
| valign="top" |
'''OpenSource:'''
sudo apt install nvidia-driver-510-open
sudo apt install nvidia-driver-510-open cuda
'''OpenSource:'''
sudo apt install nvidia-driver-525-open
sudo apt install nvidia-driver-525-open cuda
'''OpenSource:'''
sudo apt install nvidia-headless-525-open
sudo apt install nvidia-headless-525-open cuda
|-
| colspan="3" |
----
|-
| colspan="2" |
'''generic'''
sudo apt install linux-modules-nvidia-510-5.15.0-60-generic
sudo apt install linux-modules-nvidia-525-5.15.0-60-generic
'''nvidia'''
sudo apt install linux-modules-nvidia-510-5.15.0-1015-nvidia
sudo apt install linux-modules-nvidia-525-5.15.0-1015-nvidia
| valign="top" |
'''purge nvidia driver'''
sudo apt remove --purge '^nvidia-.*'
sudo apt remove --purge '^libnvidia-.*'
sudo apt remove --purge '^cuda-.*'
'''reinstall linux kernel'''
sudo apt install linux-headers-$(uname -r)


|}


==References==
==References==
Line 17: Line 286:


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* [[Academia JavaEE Workspace in Raspbian]]
* [[Academia JavaEE Workspace in Ubuntu]]
* [[Academia JavaEE Workspace in MacOS]]
* [[VS Code on iPad Pro]]
* [https://www.tensorflow.org/install Install TensorFlow]
* [https://www.tensorflow.org/install Install TensorFlow]
* [[VSCode]]
* [[Hadoop]]
* [[Hadoop]]
* [[Ansible]]
* [[Docker]]
* [[Spark]]
* [[Spark]]


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* [https://stackoverflow.com/questions/70967651/ Could not load dynamic library <code>libcudart.so.11.0</code>]
* [https://stackoverflow.com/questions/64193633/ Could not load dynamic library <code>libcublas.so.10</code>]
* [https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html CUDA Installation Guide for Windows]
* [https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_network Tensorflow » CUDA Toolkit » Ubuntu]
* [https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/dockerfiles Tensorflow » Dockerfile » Ubuntu]
* [https://github.com/pgadmin-org/pgadmin4/blob/master/Dockerfile PgAdmin 4 » Dockerfile » Alpine]
* [https://github.com/better/alpine-tensorflow/blob/master/Dockerfile Tensorflow » Dockerfile » Alpine]
* [https://stackoverflow.com/questions/172587/ Difference between g++ & gcc]
* [https://stackoverflow.com/questions/50897640/ Python 3 Virtual Env & Docker]
* [[Linux Containers]]


|-
|-
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|-
|-
|valign='top'|
|valign='top'|
* [https://stackoverflow.com/questions/43022843/ Nvidia » NVML: Driver/library version mismatch]
* [https://askubuntu.com/questions/1084476/ <code>xrandr</code> Not Showing All Ports & Resolutions]
* [https://askubuntu.com/questions/885610/ <code>nvcc</code> Environment variable or path setting]
* [https://medium.com/geekculture/installing-cudnn-and-cuda-toolkit-on-ubuntu-20-04-for-machine-learning-tasks-f41985fcf9b2 Nvidia » Installing cuDNN and CUDA Toolkit]
* [https://www.linuxcapable.com/install-nvidia-drivers-on-ubuntu-linux/ Nvidia » Install Drivers on Ubuntu 22.04]
* [https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html Nvidia » CUDA Installation Guide]
* [https://forums.developer.nvidia.com/t/nvidia-smi-has-failed-because-it-couldnt-communicate-with-the-nvidia-driver-make-sure-that-the-latest-nvidia-driver-is-installed-and-running/197141/6 <code>nvidia-smi</code> has failed]
* [https://developer.nvidia.com/cudnn Nvidia » cuDNN]
* [[OpenGL]]
* [[PyEnv]]
* [[Bazel]]


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Latest revision as of 01:18, 3 June 2024

Install

export PATH="/usr/local/cuda-12.0/bin:${PATH}"
export LD_LIBRARY_PATH="/usr/local/cuda-12.0/lib64:${LD_LIBRARY_PATH}"
# ls -lah /usr/local/cuda-12.0/lib64/|grep libnvinfer
# ls -lah /usr/local/cuda-12.0/lib64/|grep libcudart
sudo update-alternatives --config cuda
nvcc --version

sudo apt udpate
sudo apt install python3-dev python3-pip python3-venv
# sudo apt install nvidia-cuda-toolkit

apk update
apk add bash gcc musl-dev python3 python3-dev py3-pip libxslt-dev libxml2-dev
# apk add nvidia-cuda-toolkit

python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow"
source ~/.venv/tensorflow/bin/activate
pip install --upgrade pip

python3 -m venv ~/.venv/tensorflow --prompt="TensorFlow"
source ~/.venv/tensorflow/bin/activate
pip install --upgrade pip

# export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
# pip install jep ads gspread

pip install tensorflow
pip show tensorflow

pip install tensorrt
pip show tensorrt

pip install tensorflow[and-cuda]
pip install tensorflow
pip show tensorflow

pip install tensorrt
pip show tensorrt

python -c 'import tensorflow as tf; print(tf.__version__)'
python -c 'import tensorflow as tf; print(tf.test.is_gpu_available())'
python -c 'import tensorflow as tf; print("Tensorflow Version: ", tf.__version__)'
python -c 'import tensorflow as tf; print(tf.config.list_physical_devices("GPU"))'
python -c 'import tensorflow as tf; print(tf.sysconfig.get_build_info()["cudnn_version"])'
pip uninstall tensorflow

CUDA Toolkit

verify cuda-capable gpu:
cat /proc/driver/nvidia/version
apt search nvidia-headless*
apt search nvidia-driver-*
ubuntu-drivers devices

lspci | grep -i nvidia
lsmod | grep -i nvidia
lspci | grep -e VGA
lspci | grep VGA

nvcc --version
dkms status
nvidia-smi

curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub\
| sudo gpg --dearmor -o /usr/share/keyrings/cuda-archive-keyring.gpg

cat << EOF | sudo tee /etc/apt/sources.list.d/cuda-ubuntu2204-x86_64.list >/dev/null
deb [arch=$(dpkg --print-architecture)\
 signed-by=/usr/share/keyrings/cuda-archive-keyring.gpg]\
 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /
EOF

sudo apt install cuda
sudo apt install cuda-drivers

Or:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb

sudo apt update
sudo apt install cuda
sudo apt install cuda-drivers

Reinstall Nvidia

sudo apt update && sudo apt list --upgradable && sudo apt upgrade
sudo /usr/local/cuda-X.Y/bin/cuda-uninstall
sudo apt autoremove nvidia* --purge
sudo /usr/bin/nvidia-uninstall

nvidia-detector
lspci | grep -e VGA
ubuntu-drivers devices
sudo ubuntu-drivers autoinstall
sudo apt install nvidia-driver-525 cuda

Knowledge

python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (academia) $

python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (molecule) $

<source lang="PowerShell"> python -m venv .venv --prompt="TensorFlow"

  1. .venv\Scripts\activate
  2. (molecule) PS>

</syntaxhighlight> 

apk list --installed|grep ^bash
apk list --installed|grep  bash
apk add gcc

apk search | grep ^bash
apk search | grep  bash
apk add g++

apk info --contents bash
apk info --rdepends bash
apk add libc6-compat

sudo apt search  nvidia-cuda-toolkit
sudo apt install nvidia-cuda-toolkit

sudo find / -name 'libcudart.so*'
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcuda*

nvidia-smi
sudo apt install cuda

Installation  :
driver        »
driver & cuda »

Installation  :
driver        »
driver & cuda »

Installation  :
driver        »
driver & cuda »

Proprietary:
sudo apt install nvidia-driver-510
sudo apt install nvidia-driver-510 cuda

Proprietary:
sudo apt install nvidia-driver-525
sudo apt install nvidia-driver-525 cuda

Proprietary:
sudo apt install nvidia-headless-525
sudo apt install nvidia-headless-525 cuda

OpenSource:
sudo apt install nvidia-driver-510-open
sudo apt install nvidia-driver-510-open cuda

OpenSource:
sudo apt install nvidia-driver-525-open
sudo apt install nvidia-driver-525-open cuda

OpenSource:
sudo apt install nvidia-headless-525-open
sudo apt install nvidia-headless-525-open cuda

generic
sudo apt install linux-modules-nvidia-510-5.15.0-60-generic
sudo apt install linux-modules-nvidia-525-5.15.0-60-generic

nvidia
sudo apt install linux-modules-nvidia-510-5.15.0-1015-nvidia
sudo apt install linux-modules-nvidia-525-5.15.0-1015-nvidia

purge nvidia driver
sudo apt remove --purge '^nvidia-.*'
sudo apt remove --purge '^libnvidia-.*'
sudo apt remove --purge '^cuda-.*'

reinstall linux kernel
sudo apt install linux-headers-$(uname -r)

References

Retrieved from "https://cdn.chorke.org/weke/index.php?title=TensorFlow&oldid=11596"