ERREUR: impossible de désinstaller «wrapt». lors de l'installation de tensorflow-gpu ~ = 1.14

Question

J'essaye d'installer la version suivante de TensorFlow-GPU parce que l'auteur de gitrepo l'a suggéré ici .

[jalal@goku examples]$ pip install tensorflow-gpu~=1.14 Collecting tensorflow-gpu~=1.14 Using cached https://files.pythonhosted.org/packages/a5/ad/933140e74973fb917a194ab814785e7c23680ca5dee6d663a509fe9579b6/tensorflow_gpu-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl Processing /home/grad3/jalal/.cache/pip/wheels/d7/de/2e/efa132238792efb6459a96e85916ef8597fcb3d2ae51590dfd/wrapt-1.11.2-cp36-cp36m-linux_x86_64.whl Requirement already satisfied: protobuf>=3.6.1 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (3.11.0) Requirement already satisfied: tensorflow-estimator==1.15.1 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.15.1) Requirement already satisfied: six>=1.10.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.13.0) Requirement already satisfied: wheel>=0.26 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.33.6) Requirement already satisfied: tensorboard<1.16.0,>=1.15.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.15.0) Requirement already satisfied: termcolor>=1.1.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.1.0) Requirement already satisfied: opt-einsum>=2.3.2 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (3.1.0) Collecting keras-applications>=1.0.8 Using cached https://files.pythonhosted.org/packages/71/e3/19762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f/Keras_Applications-1.0.8-py3-none-any.whl Requirement already satisfied: keras-preprocessing>=1.0.5 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.0.5) Requirement already satisfied: grpcio>=1.8.6 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.25.0) Requirement already satisfied: absl-py>=0.7.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.8.1) Requirement already satisfied: google-pasta>=0.1.6 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.1.8) Processing /home/grad3/jalal/.cache/pip/wheels/5c/2e/7e/a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd/gast-0.2.2-cp36-none-any.whl Requirement already satisfied: astor>=0.6.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.8.0) Requirement already satisfied: numpy<2.0,>=1.16.0 in /home/grad3/jalal/.local/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.17.4) Requirement already satisfied: setuptools in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow-gpu~=1.14) (42.0.2) Requirement already satisfied: markdown>=2.6.8 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu~=1.14) (3.1.1) Requirement already satisfied: werkzeug>=0.11.15 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu~=1.14) (0.16.0) Requirement already satisfied: h5py in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from keras-applications>=1.0.8->tensorflow-gpu~=1.14) (2.7.1) Installing collected packages: wrapt, keras-applications, gast, tensorflow-gpu Found existing installation: wrapt 1.10.11 ERROR: Cannot uninstall 'wrapt'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.

Comment résoudre ce problème d'installation?

Un peu d'informations sur mon système:

$ cat /proc/version Linux version 3.10.0-1062.4.3.el7.x86_64 (mockbuild@kbuilder.bsys.centos.org) (gcc version 4.8.5 20150623 (Red Hat 4.8.5-39) (GCC) ) #1 SMP Wed Nov 13 23:58:53 UTC 2019 $ lsb_release -a LSB Version: :core-4.1-AMD64:core-4.1-noarch Distributor ID: CentOS Description: CentOS Linux release 7.7.1908 (Core) Release: 7.7.1908 Codename: Core $ python Python 3.6.7 | packaged by conda-forge | (default, Feb 28 2019, 09:07:38) [GCC 7.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow Traceback (most recent call last): File "<stdin>", line 1, in <module> ModuleNotFoundError: No module named 'tensorflow' >>> import deepposekit Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/deepposekit/__init__.py", line 20, in <module> from deepposekit.io import TrainingGenerator, DataGenerator File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/deepposekit/io/__init__.py", line 18, in <module> from deepposekit.io.BaseGenerator import BaseGenerator File "/scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages/deepposekit/io/BaseGenerator.py", line 16, in <module> from tensorflow.keras.utils import Sequence ModuleNotFoundError: No module named 'tensorflow'

J'ai les GPU suivants:

$ nvidia-smi Sat Dec 7 22:48:51 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.67 Driver Version: 418.67 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 108... Off | 00000000:05:00.0 On | N/A | | 0% 28C P0 61W / 250W | 1462MiB / 11178MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce GTX 108... Off | 00000000:06:00.0 Off | N/A | | 0% 28C P8 13W / 250W | 12MiB / 11178MiB | 0% Default | +-------------------------------+----------------------+----------------------+

Et voici ma version CUDA:

$ cat /usr/local/cuda/version.txt CUDA Version 10.0.130 $ pip list | grep tensorflow tensorflow-estimator 1.15.1 [jalal@goku examples]$ yum search wrapt Loaded plugins: aliases, changelog, copr, fastestmirror, kabi, langpacks, priorities, tmprepo, verify, versionlock Loading support for Red Hat kernel ABI Loading mirror speeds from cached hostfile * centos-sclo-rh: mirrors.seas.harvard.edu * centos-sclo-sclo: mirrors.seas.harvard.edu * remi-php70: mirror.pit.teraswitch.com * remi-php71: mirror.pit.teraswitch.com * remi-php73: mirror.pit.teraswitch.com * remi-safe: mirror.pit.teraswitch.com * ulyaoth: repos.ulyaoth.com * webtatic: us-east.repo.webtatic.com Atom 140/140 1075 packages excluded due to repository priority protections =============================================================================================== N/S matched: wrapt ================================================================================================ python-wrapt.x86_64 : A Python module for decorators, wrappers and monkey patching python36-wrapt.x86_64 : A Python module for decorators, wrappers and monkey patching Name and summary matches only, use "search all" for everything. [jalal@goku examples]$ Sudo yum remove python-wrapt.x86_64 Loaded plugins: aliases, changelog, copr, fastestmirror, kabi, langpacks, priorities, tmprepo, verify, versionlock Loading support for Red Hat kernel ABI No Match for argument: python-wrapt.x86_64 No Packages marked for removal [jalal@goku examples]$ Sudo yum remove python36-wrapt.x86_64 Loaded plugins: aliases, changelog, copr, fastestmirror, kabi, langpacks, priorities, tmprepo, verify, versionlock Loading support for Red Hat kernel ABI No Match for argument: python36-wrapt.x86_64 No Packages marked for removal

Mona Jalal · Accepted Answer

Tout d'abord, procédez comme suit:

$ conda update wrapt

Puis,

[jalal@goku examples]$ pip install tensorflow-gpu~=1.14 Collecting tensorflow-gpu~=1.14 Using cached https://files.pythonhosted.org/packages/a5/ad/933140e74973fb917a194ab814785e7c23680ca5dee6d663a509fe9579b6/tensorflow_gpu-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl Requirement already satisfied: numpy<2.0,>=1.16.0 in /home/grad3/jalal/.local/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.17.4) Requirement already satisfied: google-pasta>=0.1.6 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.1.8) Requirement already satisfied: wrapt>=1.11.1 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.11.2) Requirement already satisfied: absl-py>=0.7.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.8.1) Collecting keras-applications>=1.0.8 Using cached https://files.pythonhosted.org/packages/71/e3/19762fdfc62877ae9102edf6342d71b28fbfd9dea3d2f96a882ce099b03f/Keras_Applications-1.0.8-py3-none-any.whl Requirement already satisfied: six>=1.10.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.13.0) Requirement already satisfied: keras-preprocessing>=1.0.5 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.0.5) Requirement already satisfied: opt-einsum>=2.3.2 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (3.1.0) Requirement already satisfied: protobuf>=3.6.1 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (3.11.0) Requirement already satisfied: tensorboard<1.16.0,>=1.15.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.15.0) Requirement already satisfied: wheel>=0.26 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.33.6) Requirement already satisfied: termcolor>=1.1.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.1.0) Collecting tensorflow-estimator==1.15.1 Using cached https://files.pythonhosted.org/packages/de/62/2ee9cd74c9fa2fa450877847ba560b260f5d0fb70ee0595203082dafcc9d/tensorflow_estimator-1.15.1-py2.py3-none-any.whl Processing /home/grad3/jalal/.cache/pip/wheels/5c/2e/7e/a1d4d4fcebe6c381f378ce7743a3ced3699feb89bcfbdadadd/gast-0.2.2-cp36-none-any.whl Requirement already satisfied: astor>=0.6.0 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (0.8.0) Requirement already satisfied: grpcio>=1.8.6 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorflow-gpu~=1.14) (1.25.0) Requirement already satisfied: h5py in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from keras-applications>=1.0.8->tensorflow-gpu~=1.14) (2.7.1) Requirement already satisfied: setuptools in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow-gpu~=1.14) (42.0.2.post20191201) Requirement already satisfied: werkzeug>=0.11.15 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu~=1.14) (0.16.0) Requirement already satisfied: markdown>=2.6.8 in /scratch/sjn-p3/anaconda/anaconda3/lib/python3.6/site-packages (from tensorboard<1.16.0,>=1.15.0->tensorflow-gpu~=1.14) (3.1.1) Installing collected packages: keras-applications, tensorflow-estimator, gast, tensorflow-gpu Found existing installation: Keras-Applications 1.0.6 Uninstalling Keras-Applications-1.0.6: Successfully uninstalled Keras-Applications-1.0.6 Found existing installation: gast 0.3.2 Uninstalling gast-0.3.2: Successfully uninstalled gast-0.3.2 Successfully installed gast-0.2.2 keras-applications-1.0.8 tensorflow-estimator-1.15.1 tensorflow-gpu-1.15.0

Tshilidzi Mudau · Answer

Mettre à jour Conda et essayer d'installer à nouveau Tensorflow a fonctionné pour moi:

conda update --all pip install tensorflow

sakura · Answer

Trouvez ce fichier .whl de cache dans votre /home/grad3/jalal/.cache/pip/wheels/... Retirez-le.

Puis recommencez comme la procédure d'installation normale. Ça marche pour moi.

Rohan Kumara · Answer

pip install --upgrade pip conda update --all pip install tensorflow