TensorFlow: Difference between revisions
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* [https://stackoverflow.com/questions/64193633/ Could not load dynamic library <code>libcublas.so.10</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://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/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/pgadmin-org/pgadmin4/blob/master/Dockerfile PgAdmin 4 » Dockerfile » Alpine] | ||
Revision as of 14:27, 11 February 2023
Install
sudo apt udpate
sudo apt install python3-dev python3-pip python3-venv
# sudo apt install nvidia-cuda-toolkit
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apk update
apk add bash gcc musl-dev python3 python3-dev py3-pip libxslt-dev libxml2-dev
# apk add nvidia-cuda-toolkit
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python3 -m venv .venv --prompt="TensorFlow"
source .venv/bin/activate
pip install --upgrade pip
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python3 -m venv .venv --prompt="TensorFlow"
source .venv/bin/activate
pip install --upgrade pip
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# export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
# pip install jep ads gspread
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pip install tensorflow
pip show tensorflow
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pip install tensorflow
pip show tensorflow
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python -c 'import tensorflow as tf; print("Tensorflow Version: ", tf.__version__)'
pip uninstall tensorflow
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Knowledge
python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (academia) $
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python3 -m venv .venv --prompt="TensorFlow"
# source .venv/bin/activate
# (molecule) $
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python -m venv .venv --prompt="TensorFlow"
# .venv\Scripts\activate
# (molecule) PS>
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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 |
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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* |
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References
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