gcn icon indicating copy to clipboard operation
gcn copied to clipboard

Installation: Version of Tensor flow

Open trudramukerji14 opened this issue 2 years ago • 3 comments

Sorry, I'm trying to install the gcn package, it looks like it requires an older version of tensor flow

I initially tried to run:

pip install -r requirements.txt

in the terminal, but got the error:

ERROR: Could not find a version that satisfies the requirement tensorflow==1.15.4 (from versions: 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.7.2, 2.7.3, 2.8.0rc0, 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1) ERROR: No matching distribution found for tensorflow==1.15.

I then installed tensor flow and tried again but then got the following error when trying python setup.py install:

error: Could not find suitable distribution for Requirement.parse('tensorflow<2.0,>=1.15.2')

So it looks like the recent tensor flow was too new.

I was wondering if there was an updated version of this software that works with modern versions of tf or pytorch?

ER

trudramukerji14 avatar Jul 26 '22 14:07 trudramukerji14

https://stackoverflow.com/questions/63499262/pip-error-no-matching-distribution-found-for-tensorflow-1-6-0I have the same issue,maybe this can help you

00JackLu avatar Oct 22 '22 08:10 00JackLu

For using the tensorflow=1.15.2, You need to downgrade the Python version to 3.6

Here are the steps to install it successfully. '!sudo update-alternatives --config python3' Press 1, to select python 3.6.

Then, simply pip install the TensorFlow as: !pip install tensorflow==1.15.2

Also, install all the required libraries inside setup.py in same way. Good Luck

ahsantfw avatar Feb 23 '23 01:02 ahsantfw

Hi. I am trying to run the tutorial, but I keep receiving errors related to dependencies. I now have tensorflow 1.15.0 installed and python 3.7.16, and I'm getting this error:

"ImportError: cannot import name 'cached_property' from 'functools' (/opt/anaconda3/envs/tf1/lib/python3.7/functools.py)"

From my research the cached_property attribute was introduced in Python 3.8, but python 3.8 is only compatible with tensflow >= 2.2. But with tensorflow 2.10 I was getting a different error related to scipy. So I was wandering which are the requirements to run the tutorial?

Thank you in advance

HeVLF avatar May 16 '23 13:05 HeVLF