Issues with installing TFX in Google Colab (C4W3Lab2)

Course Q&A Machine Learning Engineering for Production(MLOps) Deploying Machine Learning Models in Production
1

Hi all,

I am facing issues with installing TFX on Google Colab. I was following C4W3Lab2, and whenever I run the following command, it gives an error:

!pip install -U tfx

Error:

Looking in indexes: Simple index, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting tfx
Downloading tfx-0.23.1-py3-none-any.whl (1.7 MB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.7/1.7 MB 54.6 MB/s eta 0:00:00
Collecting absl-py<0.9,>=0.7 (from tfx)
Downloading absl-py-0.8.1.tar.gz (103 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 103.2/103.2 kB 12.0 MB/s eta 0:00:00
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
Preparing metadata (setup.py) … error
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

2

I should note that previous tutorials were working fine for me. I tried to troubleshoot by deleting the runtime, installing and upgrading few libraries, but with no success.

I also tried to run the previous labs, but magically the issue reappeared. It appears some updates in Google Colab now preventing installation of TFX.

Can someone please look into it?

3

Hello @dexcrew
There’s an ongoing issue with most of the Labs because Colab upgraded to 3.10
Will let you know once the labs are fixed. Thank you

2 Likes
4

Thanks Isaak! That’s what I thought.

It should be a system wide issue.

5

The following screenshot is from this location: TFX tutorials | TensorFlow

image
image1494×400 34.9 KB

tfx · PyPI says that tfx 1.13.0 is compatible with python 3.8 and python 3.9

Hope this helps.