4 ms·
I suppose we can follow memes or facts. Please note I never used tensorflow on that computer in fact I never used tensorflow, but this is my experience: https:
by takeda 4y ago
I suppose we can follow memes or facts.
Please note I never used tensorflow on that computer in fact I never used tensorflow, but this is my experience: https://gist.github.com/takeda/89ec29501b6e8641415668f22f3e99b7 https://gist.github.com/takeda/89ec29501b6e8641415668f22f3e9...
It succeeded after first try.
I do see that in their repo[1] they use a non standard way to build the package. They use Bazel, but that's Google for you. They never do things everyone else is doing. I'm not sure why this is Python problem rather than package problem.
They have tons of open issues around building: [2]
[1] https://github.com/tensorflow/tensorflow https://github.com/tensorflow/tensorflow
[2] https://github.com/tensorflow/tensorflow/labels/type%3Abuild%2Finstall https://github.com/tensorflow/tensorflow/labels/type%3Abuild...
- Ygg2 4y agoThat's the thing. It's not a meme. It's a joke, that rings true. It works fine for me. Not for him. Same package, nearly identical laptops, different outcomes. And I as newcomer to Python, there are like four (pip, venv, brew, conda) cli APIs that I had to learn just to get working on some Python file.