Compute.scala

I really don't see how Scala is not fit for this. Swift for Tensorflow was mainly revolving around the Differentiable protocol. There is a paper published in 2019 from Purdue University where they show how AD can be combined with multi-stage programming in Scala. [1] DeepLearning.scala that does compile-time reverse AD. [2] Compute.scala for operator fusion at runtime (JITifying) [3] Here [4] is a Pre-SIP to add reifiable control flow to Scala compiler so AD and operator fusion could happen at compile-time. Moreover, Kotlin also has a library that does type-safe AD. [5] nVidia and Oracle want better interopabiltiy between CUDA and GraalVM through grCuda. [6] [1] Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator - https://arxiv.org/pdf/1803.10228.pdf [2] https://github.com/ThoughtWorksInc/DeepLearning.scal