4 ms·
Yes, indeed, although Tensorflow and Pytorch have a long way to go before their GPU versions are equally easy to install. Their GPU versions are currently incre
by ShadowBannedUsr 7y ago
Yes, indeed, although Tensorflow and Pytorch have a long way to go before their GPU versions are equally easy to install. Their GPU versions are currently incredibly hard to install correctly, even on Linux. Some users just give up and use prebuilt containers that although good good for production code, can be hard to develop with.
- solomatov 7y agoPytorch install without any problem for quite a long time (they have a whl with all libraries included). This can't be said about tensorflow unfortunately.
- ctoth 7y agoOn Windows, in order to get Torch I need to use Anaconda.
- ctoth 7y agoYour name leaked from an identifier to a property of your account in my head and I actually thought this was a dead comment. Weird.
- ShadowBannedUsr 7y agoThis is unrelated, but you should see the potential that this holds for blind people: https://arxiv.org/abs/1901.02527 https://arxiv.org/abs/1901.02527
- skwb 7y agoIn my own experience, I've found it much easier to install tensorflow with GPU support from scratch (including cuDNN...) than it is to install Spark/Hadoop.
- bravura 7y agoAnd running a marathon is easier than doing Iron Man, but neither of them is a walk in the park.
- ChrisFoster 7y agoThis has been vastly improved fairly recently with the advent of the tensorflow-gpu meta package available via conda. See https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc https://towardsdatascience.com/tensorflow-gpu-installation-m...