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tensorflow gpu

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Condemned Coyote answered on June 3, 2020 Popularity 8/10 Helpfulness 10/10

answer tensorflow gpu

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tensorflow gpu

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If nothing else works (tested on Python 3.11)
1. In conda's base env run:
	conda install nvidia::cuda
	conda install anaconda::cudnn
2. Export cuda path (anaconda / miniconda):
	LD_LIBRARY_PATH=$HOME/anaconda3/lib:$LD_LIBRARY_PATH
		or
	LD_LIBRARY_PATH=$HOME/miniconda3/lib:$LD_LIBRARY_PATH
3. Create new conda env and install tensorflow:
	pip install tensorflow[and-cuda]
4. Verify with:
	python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"
5. Enjoy!

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Contributed on Apr 03 2024

Condemned Coyote

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import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))

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Source: www.tensorflow.org

Tags: gpu

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Contributed on Jun 03 2020

Fragile Fish

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install tensorflow gpu

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pip install --upgrade tensorflow-gpu --user

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Contributed on Feb 27 2022

Sore Stork

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install tensorflow gpu

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pip3 uninstall tensorflow
pip3 install 'tensorflow-gpu==1.15.4'

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Source: deepspeech.readthedocs.io

Tags: gpu

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Contributed on Aug 03 2021

Lucky Lyrebird

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tensorflow use gpu

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python -c "import tensorflow as tf; print('Num GPUs Available: ', len(tf.config.experimental.list_physical_devices('GPU')))"

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Contributed on Jun 07 2021

woreom

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install tensorflow GPU

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conda install -c conda-forge cudatoolkit=11.2 cudnn=8.1.0
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/
python3 -m pip install tensorflow
python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))"

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Contributed on Feb 02 2023

Pranav Agrawal

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tensorflow gpu

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I have tried alot to install tf-gpu but I always get into errors!
So after a lot of brainstorming here is few steps for you to install tensorflow-gpu

Windows 10 or 11 Only...

1. Install Nvidia Driver 
	a. Download Automatic Driver Updates File form here :-
    	https://www.nvidia.com/en-in/geforce/drivers/
        It will automatically finds best suitable driver for your system
      
2. Install wsl(Windows Subsystem for linux) on your windows 10 or greater
	a. open powershell or cmd in adminstrator
    b. wsl --install
    c. Enter credentials and usernames(Imp to remember)
    d. Reboot System
 
3. Install Anaconda
	a. Open cmd as user not adminstrator and type wsl
    b. type "curl https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh --output anaconda.sh"
    c. type "bash anaconda.sh" in wsl
    d. Enter and say yes to all like[Do you approve the license terms? [yes|no], Do you wish the installer to initialize Anaconda3]
    e. activate installation by type "source ~/.bashrc"
    f. Now you will get (base)
    
4. Environment and Cuda, Cudnn(GO on pasting every line in (base))
	a. conda create --name tf python=3.9
    b. conda activate tf
    c. nvidia-smi (To Check GPU )
    d. conda install -c conda-forge cudatoolkit=11.8.0
    e. pip install nvidia-cudnn-cu11==8.6.0.163
    f. mkdir -p $CONDA_PREFIX/etc/conda/activate.d
    g. CUDNN_PATH=$(dirname $(python -c "import nvidia.cudnn;print(nvidia.cudnn.__file__)"))
    h. echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CONDA_PREFIX/lib/:$CUDNN_PATH/lib' > $CONDA_PREFIX/etc/conda/activate.d/env_vars.sh
	
5. Installing Tensorflow in env
	a. pip install --upgrade pip
    b. pip install tensorflow==2.12.*
    c. python3 -c "import tensorflow as tf; print(tf.config.list_physical_devices('GPU'))" (To Check GPU)
    
6. Install Jupyter in base and not in environment
	a. conda install -y jupyter
    
Problems:-
	a. No GPU detected after running 5. and c. command:-
    	Rerun 4. g. and h. every time when you launch or activate environment i.e tf

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Contributed on Apr 01 2023

shadow ekbote

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tensorflow gpu

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