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Tensorflow 2.0 Preview
- minimaxir 8y agoAre the changes between ~1.13 and 2.0 finalized yet? Last I checked they were still in flux, outside of a few blog posts which state that config defaults changed: https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0-d3663832e9b8 https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0... Biggest change for me is it seems like there's more of an incentive to use tf.keras instead of external Keras, for simplicity.
- jyrkesh 8y agoCouldn't find anything about it, but does anyone know if it supports Python 3.7 yet? Just messed around with TF yesterday on a Windows dev box, and the version downgrade shuffle was annoying.
- sseveran 8y agoPython 3.7 Compatibility is being tracked here: https://github.com/tensorflow/tensorflow/issues/20517 https://github.com/tensorflow/tensorflow/issues/20517
- breck 8y agoBurned by the same problem. A while ago I switched to never doing any DL without using a conda environment.
- andyonthewings 8y agoAt work I do DL projects in separated containers with the nvidia docker runtime. That means I can use any combination of cuda/ubuntu/python versions independent of the host system or other projects.
- breck 8y agoI’ve tried that as well but often ran into driver issues. Conda has seemed to work better for me.
- dare0505 8y agoWhat's interesting about Google is, they can have open source products that are hated a big % of devs (Angular) and something that doesn't have that problem (Tensorflow). I wonder what's the underlying issue behind this disparity. Wonder if it the teams themselves behind those products...
- nabla9 8y agoMaybe it's the software itself and nothing associated with it. When something is 'Google' it's not automatically good or bad.
- stochastic_monk 8y agoI see PyTorch and, to a much lesser extent, DyNet used in state-of-the-art NLP applications. I wonder if PyTorch is “winning”.
- nabla9 8y agoPyTorch is gaining popularity but still behind Tensorflow in popularity, code, documentation and models available. The main difference is the eager execution that Tensorflow does not have until 2.0 that is out soon.
- netdur 8y agoAngular is hated? Angular is my only way out of Javascript fatigue, it just works.
- dylanz 8y agoIt gets a lot of hate on HN when compared to React/Vue/etc, but I used it for years and it was a breathe of fresh air coming from raw JS. I think a lot of people on HN form opinions on software and its landscape without actually using it or interacting with its community (outside of HN).
- 8y ago
- yingw787 8y agoA guy from Google Brain came over to a Capital One meetup and talked at length about the `autograph` module; check it out! I remember they did some neat things with extending Python's operator overloading in order to generate Tensorflow graph code.
- mark_l_watson 8y agoThanks for mentioning AutoGraph - looks good! BTW, I am also at C1 (Machine Learning team at UIUC).
- _b 8y agoIs the source code available for this 2.0 preview? I'd like to look at whatever changes there are in the C++ API.
- selljamhere 8y agoCan someone summarize the changes between 1.13 and 2.0? Given the major version increment, I'd assume there's a major paradigm shift.
- OkGoDoIt 8y agoThis blog post gives a decent overview: https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0-d3663832e9b8 https://medium.com/tensorflow/whats-coming-in-tensorflow-2-0...
- blt 8y agoSeems like mostly changes for production users vs. researchers. Not that there's any particular feature I'm dying for as a researcher (though a deterministic reduce_sum would be nice). Is pytorch more directly pursuing the "fast iteration, few assumptions" that ML researchers want?
- willwill100 8y agohttps://github.com/tensorflow/docs/blob/master/site/en/r2/guide/effective_tf2.md https://github.com/tensorflow/docs/blob/master/site/en/r2/gu...