5 ms·
if tf runs most of the workload GPU side, SSE enabled binary is less compatible and no longer a bottleneck.
by acoye 9y ago
if tf runs most of the workload GPU side, SSE enabled binary is less compatible and no longer a bottleneck.
- nl 9y agoOn OSX (as the linked post shows) it's pretty rare to use the GPU. Not all TF components are GPU enabled anyway. The default LSTM isn't and you need to use CuLSTM. That is nice but doesn't support the GoBackwards operation so you can't use it in BiLSTMs. GPUs are great but there is lots done on the CPU too. Edit: To clarify, the comments on the LSTM implementations are actually on the Keras/TF LSTM. Not sure what the native TF one is like.
- p1esk 9y agoAre you talking about LSTM implementation in OSX version of TF? Because it definitely runs on GPU in Windows/Linux.