Closed pconesa closed 1 year ago
Probably fixing the numpy in cryoCARE to numpy~=1.19.2 might fix it or increasing the tensorflow version in the documentation ?
After, downgrading numpy to: pip install numpy==1.19.2
and then scipy to : pip install scipy==1.9.3
tensorflow does not complain and detects my GPU... haven't gone further.
more data....
installing matplotlib<=3.63
Does not force the installation of numpy >=1.20.
Hi! I ran into the same problem. I made a PR that specifies the numpy version in the setup.py.
I hope that this is fixed with the latest 0.3.0 version. Otherwise reopen.
Hi, after installing cuda 11 environment.... pip is reporting this:
tensorflow 2.4.0 requires numpy~=1.19.2, but you have numpy 1.24.3 which is incompatible.
When importing tensorflow of this environment I get this: