r0.10 needed: AttributeError: 'module' object has no attribute 'evaluate_once'

[neuralearner]

Thanks for all the hard work everyone, I'm super happy to get TF running on such a lovely raspberry pi. I'm currently experimenting with TF-Slim and it seems that r0.10 is needed to run the library. When I run the command:

python -c "import tensorflow.contrib.slim as slim; eval = slim.evaluation.evaluate_once"

It complains of needed: AttributeError: 'module' object has no attribute 'evaluate_once'. I believe this is included in 0.10 and right now we're at 0.09? Is there any chance that we can get the upgrade on raspberry pi? TF slim makes creating and running models so much easier and I believe is the direction that tensorflow is headed towards for model scaling.

[samjabrahams]

Hey @neuralearner - I'm currently working on upgrading the available binaries. We hit a roadblock with needing to compile newer versions of Bazel (which is required to build TensorFlow). The last few weeks have been slow, as I've been busy with travel, interviews, and the like.

Hopefully have something this week!

[neuralearner]

Thank you!

[samjabrahams]

Hey @neuralearner - just wanted to point you to a preliminary 0.10 binary for Python 2.7. I'm still double checking the build instructions, as well as testing out different optimization flags, so this may just be a stopgap for the next few days as I get everything finalized. Hopefully it's better than nothing!

[samjabrahams]

Version 0.10 binaries have been released.

[romilly]

Hi Sam,

I should have a new Pi 3 with 16 Gb SD arriving today, and plan to try out
the new docker + tf 0.10 over the weekend.

Thanks again for all your hard work.

On 10 November 2016 at 19:20, Sam Abrahams notifications@github.com wrote:

Version 0.10 binaries have been released
https://github.com/samjabrahams/tensorflow-on-raspberry-pi/releases.

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