太极博客

In this blog post I'll briefly talk about the data containers in Taichi and Torch. As you might have already known, both Taichi and Torch have a core concept of multi-dimensional array containers, called taichi.field and torch.Tensor respectively. They, as well as numpy.arrays, share a lot in common so users might think they're exactly the same. Therefore, we want to share a few interesting differences in this blog so that new users don't get confused by similar names or usages.

"What is the advantage of Taichi over Pytorch or Tensorflow when running on GPU?" Not surprisingly, this is one of the top questions we've received in the Taichi user community. In this blog series we will walk you through some major concepts and components in Taichi and Torch, elaborating on the analogies and differences which might not be obvious at the first sight.