Comments (3)
tfriedel
commented on May 11, 2024
I made a fork using python 3.6 and tensorflow 1.4 here:
https://github.com/tfriedel/deepo
https://hub.docker.com/r/tfriedel/deepo/
Works for me, maybe worth a try?
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ufoym
commented on May 11, 2024
@tfriedel Thanks!
@moh3th1 TensorFlow 1.4 should work in our latest pre-built images. Though there may be some warnings when you run the official build of TensorFlow 1.4 for Python 3.6 (see tensorflow/tensorflow#14182).
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bastiaan-sjardin
commented on May 11, 2024
So just to confirm: I can use tf 1.4 with py3.6 and ignore the warnings with all functionalities in tact?
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Related Issues (20)
- Add support to ppc64le HOT 4
- cuda 10.2 image HOT 1
- theano gpu not working HOT 1
- PaddlePaddle
- How can I use YOLOv3 on this image? HOT 1
- ufoym/deepo:pytorch-py36-cu101 cuda.max_memory_allocated crash HOT 3
- deepo generate does not find CUDA
- VS code support
- TensorRT support？ HOT 2
- Custom CPU version | MacOs HOT 1
- Python 3.8 Support HOT 2
- Is it possible to switch from a cpu to gpu version? HOT 1
- How to upgrade cuda for the image? HOT 1
- Does 'darknet version' support opencv for darknet video detection? HOT 2
- tensorflow 2.5.0 CUDA compatibility HOT 6
- caffe on RTX3090 run fail HOT 2
- Change `jupyter notebook` README example to `jupyter lab`? HOT 1
- How to use the platform to do parallel computing? HOT 2
- Problem with cudnn HOT 1
- import torch ModuleNotFoundError: No module named 'torch'
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