Thank you for developing basepairmodels. We are interested in using it on some of our ChIP-seq and CUT&Tag data.
I have a question about tensorflow version. We recently built a GPU server with A100 GPU cards. The minimum CUDA version for A100 is 11. If I install the package using pip install git+https://github.com/kundajelab/basepairmodels.git@v0.1.4 based on the README file, I get tensorflow 1.14 (it works on CUDA10 and A100, but not optimal).
Is there a way to use tensorflow 2 with CUDA11? For example, if I directly install the dev version with pip install git+https://github.com/kundajelab/basepairmodels.git (remove the @v0.1.4), the tensorflow is bumped to 2.4.1 which can be paired with CUDA11. I am wondering if this works or not.
Thank you so much for your help. Let me know if you have any questions.
Thank you for developing basepairmodels. We are interested in using it on some of our ChIP-seq and CUT&Tag data.
I have a question about tensorflow version. We recently built a GPU server with A100 GPU cards. The minimum CUDA version for A100 is 11. If I install the package using
pip install git+https://github.com/kundajelab/basepairmodels.git@v0.1.4based on the README file, I get tensorflow 1.14 (it works on CUDA10 and A100, but not optimal).Is there a way to use tensorflow 2 with CUDA11? For example, if I directly install the dev version with
pip install git+https://github.com/kundajelab/basepairmodels.git(remove the@v0.1.4), the tensorflow is bumped to 2.4.1 which can be paired with CUDA11. I am wondering if this works or not.Thank you so much for your help. Let me know if you have any questions.
Ning