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Thanks. I just tested tf-nightly 2.4 with cuda11 cudnn8 and it works well. However, some of the library paths in cuda11 are different from cuda10. Does the Dockerfile have to be generic enough to work for all tf 2.x and cuda 10.x/11?
docker pull uvarc/tensorflow:2.4.0-distroless (We will overwrite this when 2.4 is released. This image is for testing purposes only.)
Thanks again for the suggestion. I guess I’ll add a link in the README, since we may not build images for every single version.