I have followed the objax documentation to install the library with GPU support: https://objax.readthedocs.io/en/stable/installation_setup.html
i.e.
pip install --upgrade objax
CUDA_VERSION=11.6
pip install -f https://storage.googleapis.com/jax-releases/jax_releases.html jaxlib==`python3 -c 'import jaxlib; print(jaxlib.__version__)'`+cuda`echo $CUDA_VERSION | sed s:\\\.::g`
However the last step doesn't work. I get the following error message:
ERROR: Could not find a version that satisfies the requirement jaxlib==0.3.15+cuda116 (from versions: 0.1.32, 0.1.40, 0.1.41, 0.1.42, 0.1.43, 0.1.44, 0.1.46, 0.1.50, 0.1.51, 0.1.52, 0.1.55, 0.1.56, 0.1.57, 0.1.58, 0.1.59, 0.1.60, 0.1.61, 0.1.62, 0.1.63, 0.1.64, 0.1.65, 0.1.66, 0.1.67, 0.1.68, 0.1.69, 0.1.70, 0.1.71, 0.1.72, 0.1.73, 0.1.74, 0.1.75, 0.1.76, 0.3.0, 0.3.2, 0.3.5, 0.3.7, 0.3.8, 0.3.10, 0.3.14, 0.3.15)
ERROR: No matching distribution found for jaxlib==0.3.15+cuda116
I have tried with multiple versions of python/CUDA, but I always get this error.
Executing pip install --upgrade pip at the begining does not help.
System description:
Operating system: Ubuntu 20.04.4 LTS
CUDA Version: 11.6
Python version: 3.8.13
JAX recently updated its GPU installation instructions, which you can find here: https://github.com/google/jax#pip-installation-gpu-cuda
In particular, the CUDA wheels are now located at https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
So, for example, you can install JAX with
$ pip install "jax[cuda11_cudnn805]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
and replace cuda11 and cudnn805 respectively with the appropriate CUDA and CUDNN version for your system, ensuring that they match the versions listed in the index at the above URL.
I've sent a pull request to the objax repository to update the instructions you were following: https://github.com/google/objax/pull/246
The doc page was last updated 2 year ago. It's outdated and due to this it currently lies. Take a close look at https://storage.googleapis.com/jax-releases/jax_releases.html — there're currently no releases with CUDA.
As for no-CUDA versions you can install them directly from PyPI:
pip install jaxlib
For CUDA version — try to compile from sources. Or use conda: https://anaconda.org/search?q=jaxlib
I have been around the mulberry bush for a few days trying to get tensorflow installed on an Ubuntu system. My specifications are;
Ubuntu: 20.04.3
Python (virtual environment): 3.6.15
Pip: 21.2.4
Tensorflow version wanted: 1.13.1
Tensorflow version will take: anything at this point
I followed a number of answers on the web. Got a compatible version of Python. Got the latest pip....
When I use the command;
pip3 install tensorflow==1.13.1
I get;
ERROR: Could not find a version that satisfies the requirement tensorflow==1.13.1 (from versions: none)
ERROR: No matching distribution found for tensorflow==1.13.1
when I do a pip_search on tensorflow, it shows tensorflow 2.6.0.
But when I do;
pip3 install tensorflow==2.6.0
I get the same error.
when I use the --upgrade switch to pip, I get the same error. I tried to install from a wheel file, but the file was incompatible on my system.
Any help is appreciated.
As per documentation of Tensorflow, version 1's final release that can be downloaded/installed is 1.15. Below this version are deprecated and no longer available to use in development.
Read it about here
I am trying to install cleverhans verion 3.1.0 but getting following error
pip install cleverhans==3.1.0
Note: you may need to restart the kernel to use updated packages.
ERROR: Could not find a version that satisfies the requirement cleverhans==3.1.0 (from versions: 2.1.0, 3.0.0, 3.0.0.post0, 3.0.1)
ERROR: No matching distribution found for cleverhans==3.1.0
I want to access random_lp_vector method in 3.1.0 version which I am unable to access if I try in 3.0.1 also Is there any option available for adversarial training in the latest version which is 4.0.0
Please kindly help
You were not able to install version 3.1.0 via pip install as that version is not listed in Python package index(PyPI).
You can download the source code of the required version 3.1.0 or 4.0.0 from github directly and install using setup.py
Occured probrem
I ran the following command to install an older version of opencv-contrib-python (4.0.0.21). Then an error occurred and this package could not be installed. How can I resolve this error?
pip install opencv-contrib-python==4.0.0.21
Collecting opencv-contrib-python==4.0.0.21
ERROR: Could not find a version that satisfies the requirement opencv-contrib-python==4.0.0.21 (from versions: 3.4.8.29, 3.4.9.31, 3.4.9.33, 3.4.10.35, 3.4.10.37, 3.4.11.39, 3.4.11.41, 3.4.11.43, 3.4.11.45, 4.1.2.30, 4.2.0.32, 4.2.0.34, 4.3.0.36, 4.3.0.38, 4.4.0.40, 4.4.0.42, 4.4.0.44, 4.4.0.46)
ERROR: No matching distribution found for opencv-contrib-python==4.0.0.21
Environment
Windows 10
Python 3.8.2
Pip 19.2.3
The version you specified opencv-contrib-python (4.0.0.21) does not have a relevant python3.8 version.
You need to use opencv corresponding to python3.8, or lower your python version to match the opencv version.
Anaconda3, Python 3.6, pip version 9.0.1
pip install imagenet_utils
Error message:
Could not find a version that satisfies the requirement imagenet_utils (from versions: ) No matching distribution found for imagenet_utils
Please, help.
Read me docs on github indicate compatibility up to 3.5. Take a look at some comparable libraries to avoid this issue here:
5 Genius Python Deep Learning Libraries.
Anaconda also offers a conda install version of Keras where this specific package can be accessed:
conda install -c conda-forge keras
then for python script would read:
from keras import imagenet_utils
Assuming compatibility is not the issue, you will need to verify the anaconda package location and make sure that you are installing to that location.