Comments (4)
maresb
commented on September 22, 2024
Try replacing import tensorflow as tf with import tensorflow.compat.v1 as tf.
More generally, take a look at https://www.tensorflow.org/guide/migrate
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ChristophSchranz
commented on September 22, 2024
Thanks for the feedback, this bug should be fixed with commit e894fd0 (Fixed cuda compatibility issue in tf)
See:
gpu-jupyter/src/Dockerfile.gpulibs
Lines 3 to 8 in 9539831
As explained in the referred link,
"TensorFlow supports CUDA 10.1 (TensorFlow >= 2.1.0)". With Tensorflow 2.1 is should work.
By the way, in extra/Getting_Started/GPU-processing.ipynb you can see the expected results for CUDA availability.
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bklippstein
commented on September 22, 2024
Thank you!! Tensorflow & Keras are working now. This image is a perfect base for a child image because all the heavy problems are solved in one black box. Much better than my old solution :-)
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ChristophSchranz
commented on September 22, 2024
@bklippstein you are welcome! 😊
Whenever you find a way to improve this image, let me know by writing an issue or pull request!
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Related Issues (20)
- Files are displayed empty after restart of the container HOT 1
- no 'latest' tag on docker hub HOT 1
- image build fails on Debian 11 when trying follow instructions to build for nvidia/cuda:12.1.0-base-ubuntu20.04 HOT 3
- Error when running your current image with host drivers cuda 12.1 : "Could not load dynamic library 'libnvinfer.so.7'" HOT 3
- jupyternbextension-not found HOT 9
- PyTorch 2 needs CUDA 11.7+ HOT 5
- How to add new packages into the image ? HOT 2
- Unable to change conda environment in kernel HOT 4
- Update CUDA to 11.8 HOT 17
- CUDA version incompatibility HOT 10
- TensorFlow throws missing libdevice errors
- Update to Jupyterlab 4.0.10 HOT 6
- Static Token HOT 1
- torch gpu problem HOT 3
- Upgrade to latest versions (e.g. CUDA 12.3) HOT 3
- Suggest way to use latest pytorch (2.2.2) HOT 4
- Container not accessible from the network with Podman instead of Docker HOT 1
- Use other servers like Jupyverse HOT 1
- tensorflow couldn't use nvidia GPU in v1.7_cuda-12.3_ubuntu-22.04 HOT 4
- CUDA 12.1 support? HOT 3
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