Open ZOUG opened 3 years ago
Yes, tensorflow 2.3.0 was broken in some aspects. We might revisit it, but I did now the upgrade to 2.4.1 and fixed along this all the issues we had for older tensorflow versions. I uploaded to my private channel the rc for linux-64 for testing. Getting some feedback here would be nice.
Yes, tensorflow 2.3.0 was broken in some aspects. We might revisit it, but I did now the upgrade to 2.4.1 and fixed along this all the issues we had for older tensorflow versions. I uploaded to my private channel the rc for linux-64 for testing. Getting some feedback here would be nice.
@katietz Great ! Where is your private channel? Will there be builds available for Windows?
@ZOUG Sorry, missed that. It is the channel 'ktietz'.
There are a few unusual builds in the Anaconda repository for Tensorflow (TF) 2.3 that seem to make the
tensorflow-gpu
2.3 installation unable to function properly (see here).For TF 2.1,
conda search tensorflow=2.1
yields the following results:In contrast,
conda search tensorflow=2.3
yields the following:These TF 2.3 builds do not follow the naming conventions of previous tensorflow builds (i.e.,
mkl_
prefix is only used for mkl versions). Moreover, for some of thesetensorflow
builds, their dependent_tflow_select
options andtensorflow-base
builds do not seem to match. Details of selected suspicious builds are shown in the following.