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> There is also a reason for that Don't be shy. Do share what that reason is.
by 1024core 9y ago
> There is also a reason for that
Don't be shy. Do share what that reason is.
- IanCal 9y agoFrom the linked article, to help others like me who mostly scan the comments > PyTorch LSTM network is faster because, by default, it uses cuRNN’s LSTM implementation which fuses layers, steps and point-wise operations. See blog-post on this here. > Tensorflow’s RNNs (in r1.2), by default, do not use cuDNN’s RNN, and their ‘call’ function describes only one time-step of computation, hence a lot of optimization opportunities are lost. On the flip side, though, this gives user much more flexibility, provided that the user knows what he is doing.
- deleted 9y ago[deleted]