linux_compiler_tensorflow_avec_bazel
Différences
Ci-dessous, les différences entre deux révisions de la page.
Les deux révisions précédentesRévision précédenteProchaine révision | Révision précédente | ||
linux_compiler_tensorflow_avec_bazel [2021/12/11 13:19] – [CudNN] serge | linux_compiler_tensorflow_avec_bazel [2021/12/20 11:13] (Version actuelle) – [La version Intel de Tensorflow] serge | ||
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====== Linux Compiler Tensorflow avec Bazel ====== | ====== Linux Compiler Tensorflow avec Bazel ====== | ||
- | <WRAP center round box 60%> | + | <WRAP center round box 60% centeralign> |
- | **L' | + | **L' |
+ | Voir **[[movenet|]]** | ||
</ | </ | ||
+ | =====La version Intel de Tensorflow===== | ||
+ | |||
+ | **[[https:// | ||
+ | <code bash> | ||
+ | python3 -m pip install intel-tensorflow | ||
+ | </ | ||
+ | |||
+ | Donne toujours le message AVX2 et FMA. Mais c'est normal.\\ | ||
+ | Bienvenue dans le monde de Tensoflow: c'est un Warning, mais ce n'est pas forcément vrai !\\ | ||
+ | Mon FPS a augmenté de 10 à 20 % :-P | ||
+ | |||
+ | **Il est inutile de compiler** 8-) | ||
=====Ressources===== | =====Ressources===== | ||
* **[[https:// | * **[[https:// | ||
- | * **[[https:// | + | * **[[https:// |
- | * **[[https:// | + | |
+ | Sur les internets, ça en cause: | ||
+ | * https:// | ||
+ | * https:// | ||
+ | * https:// | ||
+ | * https:// | ||
+ | | ||
=====Installation de Bazel===== | =====Installation de Bazel===== | ||
Ligne 20: | Ligne 39: | ||
sudo apt install bazel-4.2.1 | sudo apt install bazel-4.2.1 | ||
</ | </ | ||
- | |||
=====Sans GPU sur Debian===== | =====Sans GPU sur Debian===== | ||
- | Désinstaller les packages python | + | Désinstaller les packages python tensorflow si ils sont installés. |
+ | <code bash> | ||
+ | pip3 list | ||
+ | # Dans la list, chercher ce qu'il faut désinstaller ... | ||
+ | python3 -m pip uninstall tensorflow intel-tensorflow | ||
+ | ... | ||
+ | </ | ||
Installation du nécessaire: | Installation du nécessaire: | ||
- | | + | <code bash> |
- | python3 -m pip install keras_preprocessing --no-deps | + | python3 -m pip install numpy wheel protobuf |
- | + | python3 -m pip install keras_preprocessing --no-deps | |
- | Récupération des sources de tensorflow: | + | |
- | cd / | + | |
- | git clone https:// | + | |
- | ./ | + | |
- | + | ||
- | ====Mes réponses==== | + | |
- | < | + | |
- | Make sure you are running at least bazel 4.2.1 | + | |
- | Please specify the location of python. [Default is / | + | |
- | + | ||
- | Found possible Python library paths: | + | |
- | / | + | |
- | / | + | |
- | Please input the desired Python library path to use. Default is [/ | + | |
- | + | ||
- | 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 " | + | |
- | + | ||
- | Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n | + | |
- | Not configuring the WORKSPACE for Android builds. | + | |
</ | </ | ||
- | ====Compilation | + | Récupération des sources |
- | bazel build // | + | |
- | ./ | + | |
- | python3 -m pip install / | + | |
- | =====Avec GPU sur Ubuntu: Proposition qui ne marche pas !===== | + | |
- | Ubuntu Mate 20.04, python 3.8, venv | + | |
- | + | ||
- | + | ||
- | + | ||
- | ====Cuda==== | + | |
- | * [[https:// | + | |
- | * **[[installation_de_cuda|Installation de CUDA et Compilation de OpenCV avec CUDA]]** | + | |
- | + | ||
- | + | ||
- | + | ||
- | sudo apt install libcudnn8 libcudnn8-dev | + | |
- | + | ||
- | ====TensorRT==== | + | |
- | * **[[https:// | + | |
- | + | ||
- | sudo apt install libnvinfer8 libnvinfer8-dev | + | |
- | + | ||
- | ====Tensorflow==== | + | |
<code bash> | <code bash> | ||
- | # Dépendances | + | cd / |
- | python3 -m pip install numpy wheel | + | git clone https:// |
- | python3 -m pip install keras_preprocessing --no-deps | + | |
- | + | ||
- | # Récupération des sources de tensorflow | + | |
- | mkdir src | + | |
- | cd src/ | + | |
- | git clone https:// | + | |
- | cd tensorflow | + | |
./configure | ./configure | ||
</ | </ | ||
- | ===Le plus abcons: Configurer la compilation=== | + | Cela génère un fichier .tf_configure.bazelrc dans le dossier |
- | * **[[https:// | + | Répondre entrée ou N partout, nous allons corriger le fichier |
- | + | ||
- | **Très important** Des questions et des réponses: | + | |
- | * **non à ROCm** (non à Rocky) | + | |
- | * non à TensorRT sinon ça plante | + | |
- | * **non** à clang | + | |
- | * **non à download a fresh release of clang** ça plante | + | |
- | * oui à GCC | + | |
- | * --config: -march=native | + | |
- | * Pour 1060 GTX –> 6.1, Pour GTX 850m –> 5.0 | + | |
- | + | ||
- | <WRAP center round important 60%> | + | |
- | ** Comment compiler avec AVX2 et FMA: répondre -march=native** | + | |
- | </ | + | |
<code bash> | <code bash> | ||
- | $ ./configure | + | build --action_env PYTHON_BIN_PATH=" |
- | You have bazel 4.2.1 installed. | + | build --action_env PYTHON_LIB_PATH="/ |
- | Please specify the location of python. [Default is / | + | build --python_path=" |
+ | build:opt --copt=-march=native | ||
+ | build:opt --host_copt=-march=native | ||
+ | test --flaky_test_attempts=3 | ||
+ | test --test_size_filters=small, | ||
+ | test:v1 --test_tag_filters=-benchmark-test, | ||
+ | test:v1 --build_tag_filters=-benchmark-test, | ||
+ | test:v2 --test_tag_filters=-benchmark-test, | ||
+ | test:v2 --build_tag_filters=-benchmark-test, | ||
+ | </ | ||
- | Found possible Python library paths: | ||
- | / | ||
- | / | ||
- | Please input the desired Python library path to use. Default is [/ | ||
- | 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]: y | + | ====Compilation de tensorflow==== |
- | CUDA support will be enabled for TensorFlow. | + | <code bash> |
+ | sudo ln -s / | ||
+ | bazel build -j 4 --copt=-mavx2 --copt=-mfma | ||
+ | ./ | ||
+ | </ | ||
- | Do you wish to build TensorFlow with TensorRT support? [y/N]: n | + | ===Consommation mémoire=== |
- | No TensorRT support will be enabled for TensorFlow. | + | Sur un i5 à 8 threads et 8 Go de Ram: -j 2 pour limiter la consommation de mémoire, sinon Swap de 8 Go insuffisante. |
- | Found CUDA 11.5 in: | + | ===Stop et reprise=== |
- | / | + | Bazel reprend là où il s'est arrêté. Pour nettoyer avant de reprendre: bazel clean |
- | / | + | |
- | Found cuDNN 8 in: | + | |
- | / | + | |
- | / | + | |
- | Please specify a list of comma-separated CUDA compute capabilities you want to build with. | + | ===Success=== |
- | You can find the compute capability of your device at: https://developer.nvidia.com/ | + | <code bash> |
- | Please note that each additional compute capability significantly increases your build time and binary size, and that TensorFlow only supports compute capabilities >= 3.5 [Default is: 3.5,7.0]: 5.0 | + | INFO: Elapsed time: 19106.040s, Critical Path: 196.86s |
+ | soit 5.3 heures, perso je trouve | ||
+ | INFO: 11460 processes: 1325 internal, 10135 local. | ||
+ | INFO: Build completed successfully, | ||
+ | </ | ||
- | Do you want to use clang as CUDA compiler? [y/N]: n | + | ====Nettoyage pour recommencer==== |
- | nvcc will be used as CUDA compiler. | + | <code bash> |
+ | bazel clean | ||
+ | </ | ||
- | Please specify which gcc should be used by nvcc as the host compiler. [Default is / | + | ====Installation==== |
- | + | <code bash> | |
- | Please specify optimization flags to use during compilation when bazel option " | + | cd /media/data/ |
- | + | source mon_env/ | |
- | Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n | + | python3 |
- | Not configuring the WORKSPACE for Android builds. | + | python3 |
- | + | ||
- | Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" | + | |
- | --config=mkl | + | |
- | --config=mkl_aarch64 # Build with oneDNN and Compute Library for the Arm Architecture (ACL). | + | |
- | --config=monolithic | + | |
- | --config=numa | + | |
- | --config=dynamic_kernels # | + | |
- | --config=v1 | + | |
- | Preconfigured Bazel build configs to DISABLE default on features: | + | |
- | --config=nogcp | + | |
- | --config=nonccl | + | |
- | Configuration finished | + | |
</ | </ | ||
- | ===Reset de la config=== | + | ====Utilisation==== |
- | bazel clean | + | Le message |
- | + | ||
- | + | ||
- | + | ||
- | ====Compilation Création du package pip Installation==== | + | |
- | + | ||
- | Parce que en plus bazel exige **la** bonne version: | + | |
- | sudo apt update && sudo apt install bazel-4.2.1 | + | |
- | + | ||
- | bazel build // | + | |
- | + | ||
- | Après 5 heures de travail | + | |
- | INFO: Build completed successfully, | + | |
- | + | ||
- | + | ||
- | ./ | + | |
- | python3 -m pip install / | + | |
- | + | ||
- | ====Test==== | + | |
- | * **Ne marche pas !** | + | |
{{tag>ia linux python sb tensorflow}} | {{tag>ia linux python sb tensorflow}} |
linux_compiler_tensorflow_avec_bazel.1639228779.txt.gz · Dernière modification : 2021/12/11 13:19 de serge