This quote caught my attention: "Caffe2go is core to the machine learning products at Facebook, together with research toolchains such as Torch. Because of its

This quote caught my attention: "Caffe2go is core to the machine learning products at Facebook, together with research toolchains such as Torch. Because of its size, speed, and flexibility, we're rolling Caffe2go out across Facebook's stack." Does this mean that Torch will forever be relegated to R&D status within Facebook while production apps will always be Caffe, similar to the two-language problem[1] that Julia aims to solve? I know that Yann Lecun created Lush and Torch7 is a spiritual successor, which was used for many years in the Lecun's NYU AI research lab[2], but am curious if this means a slow decline of Torch's relevance despite the numerous Facebook torch extensions[3] released relatively recently. [1] https://www.opendatascience.com/conferences/odsc-east-2016-stefan-karpinski-solving-the-two-language-problem/ https://www.opendatascience.com/conferences/odsc-east-2016-s... [2] https://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/ https://www.reddit.com/r/MachineLearning/comments/25lnbt/ama... [3] https://github.com/facebook/fbcunn https://github.com/facebook/fbcunn