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VMs need CUDA 11 for tf-nightly releases >= 2.4.0-dev20200819 to see the GPU
See original GitHub issueBug report for Colab: http://colab.research.google.com/.
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Describe the current behavior: As of
tf-nightlyrelease2.4.0-dev20200819the GPU devices are not detected when connected to GPU. As mentioned here, that release is the first one to use CUDA 11 instead of CUDA 10.1. -
Describe the expected behavior: The GPU devices should be detected when the accelerator is set to ‘GPU’.
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The web browser you are using (Chrome, Firefox, Safari, etc.): Chrome
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Link (not screenshot!) to a minimal, public, self-contained notebook that reproduces this issue (click the Share button, then Get Shareable Link): https://colab.research.google.com/gist/amahendrakar/25b8598fea215239f22d406a387c1735/42957.ipynb
Issue Analytics
- State:
- Created 3 years ago
- Reactions:11
- Comments:13 (3 by maintainers)
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CUDA 11.0 / CUDNN 8 is now available in Colab VMs, and tf-nightly (tf-nightly-2.5.0.dev20210302) can see the GPU:
Is it possible to install a tf-nightly version that use CUDA 10.1 as August builds have been removed in pip ?