Due to the eager execution mode that PyTorch operates under, rather than the static execution graph of traditional TensorFlow (yes, TensorFlow 2.0 does offer eager execution, but it’s a touch ...

As Spisak told me, one of the most important new features in PyTorch 1.1 is support for TensorBoard, Google’s visualization tool for TensorFlow that helps developers evaluate and inspect models.