How to install old version of tensorflow on Docker image?

Question

I need to use tensorflow==1.15, but when I try

pip install tensorflow==1.15

I get an Error:

ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.7.2, 2.7.3, 2.8.0rc0, 2.8.0rc1, 2.8.0, 2.8.1, 2.8.2, 2.9.0rc0, 2.9.0rc1, 2.9.0rc2, 2.9.0, 2.9.1)
ERROR: No matching distribution found for tensorflow==1.15

I'm working inside a Docker container built from an image pulled from originally pulled from https://catalog.ngc.nvidia.com/orgs/nvidia/containers/tensorflow

So is the problem related to the Docker image?

I'm having this problem for other modules (listed in requirements.txt at this link: https://github.com/hojonathanho/diffusion/blob/master/requirements.txt)

sloppypasta · Accepted Answer · 2022-05-24 16:14:03Z

1

Based on the error message, I suspect that you have pulled a tensorflow 2 based image from the nvidia registry. Make sure that the tf version you specify in the command docker run --gpus all -it --rm nvcr.io/nvidia/tensorflow:xx.xx-tfx-py3 is 1, e.g., docker run --gpus all -it --rm nvcr.io/nvidia/tensorflow:22.04-tf1-py3.

There are probably more available, but you can see the most recent tags in the Pull Tag dropdown:

answered May 24, 2022 at 16:14

sloppypasta

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2 Comments

Alessandro Over a year ago

thank you! I''ve already done a little bit of work on this image, so do you know if it's possible to make this change at this point? I don't think so but maybe you do.

sloppypasta Over a year ago

I'm not an expert so there may be a way to do this that I'm not aware of. But, given the way docker builds layers on top of previous layers, I think you'll have more luck trying to redo the work you've done on the tf2 image on a tf1 image rather than trying to shoehorn things together and have to sort out any weird compatibility/dependency issues.

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