Interpretation can proceed line-by-line, such as when you enter some code in R’s REPL (read-eval-print loop), or in chunks (if there’s a whole script or application to be executed). Many other languages, however (among them Java, R, and Python) are – in their default implementations, at least – interpreted: They come with executables ( java, R, and python, resp.) that create machine code at run time, based on either the original program as written or an intermediate format called bytecode. The question is when.Ĭ code, for example, is compiled “by hand”, at some arbitrary time prior to execution. Compilation means generating machine-executable code it is something that has to happen to every program for it to be runnable.
“JIT” is a common acronym for “just in time”. Compiled, interpreted, just-in-time compiled “The JIT”, much talked about in PyTorch-world and an eminent feature of R torch, as well, is two things at the same time – depending on how you look at it: an optimizing compiler and a free pass to execution in many environments where neither R nor Python are present. In addition, unfortunately, every domain has its jargon, whereby terms are used in a way that is technically correct, but fails to evoke a clear image to the yet-uninitiated. In the meantime, please install the development version from GitHub.Įvery domain has its concepts, and these are what one needs to understand, at some point, on one’s journey from copy-and-make-it-work to purposeful, deliberate utilization. Note: To follow along with this post, you will need torch version 0.5, which as of this writing is not yet on CRAN.
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