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How can I install the latest version of tensorflow?


By : user2
Date : October 17 2020, 08:10 AM
I think the issue was by ths following , Seem your CPU doesn't not support AVX instructions.
Since version 1.6 use AVX instructions, thus TF cannot be used on "old" CPUs.
code :


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How to check whether computer capable to run tensorflow gpu and how to install tensorflow gpu version


By : mono
Date : March 29 2020, 07:55 AM
Hope that helps The newest version of tensorflow does not have gpu support for mac os, as seen here.

install latest tensorflow version on Anaconda


By : George
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Maybe try the anaconda cloud?
https://anaconda.org/aaronzs/tensorflow-gpu

How can I install Tensorflow GPU with latest version of CUDA and cuDNN


By : Cyril Barnert
Date : March 29 2020, 07:55 AM
Hope this helps To install tensorflow-gpu object detection api on Ubuntu 16.04 upgrade system
code :
sudo apt-get update

sudo apt-get upgrade
sudo apt-get install vim curl python-dev gnupg-curl python-tk git

curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py

sudo -H python get-pip.py
sudo -H pip install tensorflow-gpu
// Please turn off your secure boot from BIOS

sudo apt-get install gnupg-curl

// Here we install version 10.0 to avoid other issues. Later we can upgrade it to version 10.1
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_10.0.130-1_amd64.deb

sudo dpkg -i cuda-repo-ubuntu1604_10.0.130-1_amd64.deb

sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub

sudo apt-get update

wget http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb

sudo apt install ./nvidia-machine-learning-repo-ubuntu1604_1.0.0-1_amd64.deb

sudo apt-get update 
sudo apt-get install --no-install-recommends cuda-10-0

// restart your computer here

nvidia-smi.

sudo apt-get install --no-install-recommends libcudnn7=7.6.3.30-1+cuda10.0 libcudnn7-dev=7.6.3.30-1+cuda10.0

sudo apt-get install -y --no-install-recommends libnvinfer5=5.1.5-1+cuda10.0 libnvinfer-dev=5.1.5-1+cuda10.0

sudo apt-get update

// this upgrade command will upgrade your CUDA to version 10.1
sudo apt-get upgrade

sudo apt-get autoremove
sudo -H pip install Cython

sudo -H pip install contextlib2

sudo -H pip install pillow

sudo -H pip install lxml

sudo -H pip install jupyter

sudo -H pip install matplotlib


mkdir tensorflow
cd tensorflow
git clone https://github.com/tensorflow/models

// install protocbuf version 3.0.0
wget -O protobuf.zip https://github.com/google/protobuf/releases/download/v3.0.0/protoc-3.0.0-linux-x86_64.zip
unzip protobuf.zip
sudo cp ./bin/protoc /bin/
sudo cp -r ./include/google /usr/local/include/
cd tensorflow/models/research
protoc object_detection/protos/*.proto --python_out=.

git clone https://github.com/cocodataset/cocoapi.git
cd cocoapi/PythonAPI
make
cp -r pycocotools <path_to_tensorflow>/models/research/
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-10.1/lib64
export PYTHONPATH=$PYTHONPATH:~/tensorflow/models/research:~/tensorflow/models/research/object_detection/slim
If we install CUDA 10.1 it may have a compatibility issue that libxxxx.so.10.0 is not found when you start training your project.

To solve them:

a. sudo ln -s /usr/lib/x86_64-linux-gnu/libcublas.so.10.1 /usr/local/cuda-10.1/lib64/libcublas.so.10.0

b. sudo ln -s /usr/local/cuda-10.1/lib64/libcudart.so.10.1 /usr/local/cuda-10.1/lib64/libcudart.so.10.0

c. sudo ln -s /usr/local/cuda-10.1/lib64/libcufft.so.10 /usr/local/cuda-10.1/lib64/libcufft.so.10.0

d. sudo ln -s /usr/local/cuda-10.1/lib64/libcurand.so.10 /usr/local/cuda-10.1/lib64/libcurand.so.10.0

e. sudo ln -s /usr/local/cuda-10.1/lib64/libcusolver.so.10 /usr/local/cuda-10.1/lib64/libcusolver.so.10.0

f. sudo ln -s /usr/local/cuda-10.1/lib64/libcusparse.so.10 /usr/local/cuda-10.1/lib64/libcusparse.so.10.0

pip3 install tensorflow-gpu installs tensorflow version 1.14.0


By : user3471378
Date : March 29 2020, 07:55 AM
To fix the issue you can do python3 -m pip install --upgrade tensorflow-gpu>=2
I really don't have an explanation why it doesn't install 2.0 normally. There shouldn't be any difference between these commands, but this one worked and pip3 install did not.

How to install CUDA 8.0 in the latest version of Tensorflow (1.0) in AWS p2.xlarge instance, AMI ami-edb11e8d and nvidia


By : snaik
Date : March 29 2020, 07:55 AM
this one helps. I have upgraded to Tensorflow version 1.0 and installed CUDA 8.0 with the cudnn 5.1 version and the nvidia drivers up to date 375.39. My NVIDIA hardware is the one that is on Amazon Web Services using the p2.xlarge instance, a Tesla K-80. My OS is Linux 64-bit. , You need to install a NVIDIA Driver and run the CUDA 8.0 installer.
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