intel-tensorflow

python3 -m pip install intel-tensorflow

Donne toujours le message AVX2 et FMA, et ça ne va pas plus vite !

• Compiler à partir de la source
• Installing Bazel on Ubuntu
• How to fix Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA on-mac

Bazel est le compilateur de Google.

# Bazel
sudo apt install apt-transport-https curl gnupg
curl -fsSL https://bazel.build/bazel-release.pub.gpg | gpg --dearmor > bazel.gpg
sudo mv bazel.gpg /etc/apt/trusted.gpg.d/
echo "deb [arch=amd64] https://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
sudo apt update
sudo apt install bazel-4.2.1

Désinstaller les packages python protobuf et tensorflow si ils sont installés.

Installation du nécessaire:

python3 -m pip install numpy wheel
python3 -m pip install keras_preprocessing --no-deps

Récupération des sources de tensorflow:

cd /votre/dossier/src
git clone https://github.com/tensorflow/tensorflow 
./configure

Make sure you are running at least bazel 4.2.1
Please specify the location of python. [Default is /usr/bin/python3]: 
Found possible Python library paths:
  /usr/lib/python3/dist-packages
  /usr/local/lib/python3.9/dist-packages
Please input the desired Python library path to use.  Default is [/usr/lib/python3/dist-packages]
Do you wish to build TensorFlow with ROCm support? [y/N]: n
No ROCm support will be enabled for TensorFlow.
Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.
Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -Wno-sign-compare]: -march=native
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.

bazel clean

sudo ln -s /usr/bin/python3 /usr/bin/python
bazel build -j 4 //tensorflow/tools/pip_package:build_pip_package
./bazel-bin/tensorflow/tools/pip_package/build_pip_package /media/data/tensorflow_pkg

INFO: Elapsed time: 11341.078s, Critical Path: 1101.95s
INFO: 11460 processes: 1325 internal, 10135 local.
INFO: Build completed successfully, 11460 total actions
soit 3.1 heures !

Sur un i5 à 8 threads et 8 Go de Ram: -j 4 pour limiter la consommation de mémoire

Au lieu de répondre aux questions de ./configure, éditer le fichier .tf_configure.bazelrc du dossier tensorflow (fichier caché, faire Ctrl+h).

build --action_env PYTHON_BIN_PATH="/usr/bin/python3"
build --action_env PYTHON_LIB_PATH="/usr/lib/python3/dist-packages"
build --python_path="/usr/bin/python3"
build:opt --copt=-march=native
build:opt --copt=-Wno-sign-compare
build:opt --copt=-mavx
build:opt --copt=-mavx2
build:opt --copt=-mfma
build:opt --host_copt=-march=native
build:opt --define with_default_optimizations=true
test --flaky_test_attempts=3
test --test_size_filters=small,medium
test:v1 --test_tag_filters=-benchmark-test,-no_oss,-gpu,-oss_serial
test:v1 --build_tag_filters=-benchmark-test,-no_oss,-gpu
test:v2 --test_tag_filters=-benchmark-test,-no_oss,-gpu,-oss_serial,-v1only
test:v2 --build_tag_filters=-benchmark-test,-no_oss,-gpu,-v1only

cd /media/data/3D/projets/grande_echelle_move
source mon_env/bin/activate
python3 -m pip uninstall tensorflow
python3 -m pip install /media/data/src/tensorflow-2.8.0-cp38-cp38-linux_x86_64.whl

Ubuntu Mate 20.04, python 3.8, venv

• Installation de CUDA et Compilation de OpenCV avec CUDA

sudo apt install libcudnn8 libcudnn8-dev

sudo apt install libnvinfer8 libnvinfer8-dev

# Dépendances
python3 -m pip install numpy wheel
python3 -m pip install keras_preprocessing --no-deps
 
# Récupération des sources de tensorflow
mkdir src
cd src/
git clone https://github.com/tensorflow/tensorflow.git
cd tensorflow
./configure