7 ms·
To add on top of the tutorial, it's recommended to compile with AVX, SSE and FMA instructions enabled if you are using a modern Intel chipset. It has a pretty b
by yonkshi 8y ago
To add on top of the tutorial, it's recommended to compile with AVX, SSE and FMA instructions enabled if you are using a modern Intel chipset. It has a pretty big boost for calculations that needs to be done on the CPU.
The pip version of TF does not come with AVX and FMA for some reason, so this is one of perks from compiling from source
- arunmandal53 8y agoIt seems like Tensorflow 1.8 with CUDA 9.2 performs up to 37% faster when compared to earlier versions of Tensorflow as described in the post. (link below) http://www.python36.com/benchmark-tensorflow-on-cifar10/ http://www.python36.com/benchmark-tensorflow-on-cifar10/
- madmax108 8y agoI've been playing around with a couple DL frameworks recently, so was wondering, what is the performance tradeoff between what you mention and PyTorch? Is it significantly different? Because I enjoy the pyhonic "style" of PyTorch way more than the graph creation/precomputation method of TensorFlow.