XLA: linear algebra library for TensorFlow
It would seem Torch/PyTorch are faster than TF. TF uses static optimizations on the computation graph while Torch has a dynamic computation graph. Logically, static optimizations should be faster because they know the data size beforehand.So, why is TF slower?