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Future Features
As explained in this section, the Concrete Framework is currently in a preliminary version, and quite constrained in term of functionalities. However, the good news is that we are going to release new versions regularly, where a lot of functionalities will be added progressively.
In this page, we briefly list what the plans for next versions of the Concrete Framework are:
- management of tensors: today, we are mostly limited to scalars, but in the next version, the functions we compile
will possibly contain tensors, which is one of the basic features of
numpy - better performance: further versions will contain improved versions of the Concrete Library, with faster execution; also, the Concrete Compiler will be improved, to have faster local execution (with multi-threading for example) and faster production execution (with distribution over a set of machines or use of hardware accelerations)
- more user-friendly API's: we would like to make our API easier for a user. Notably, we would like to allow direct compilations of classic Machine Learning framework models (e.g., tensorflow or pytorch)
- more complete benchmarks: we will have an extended benchmark, containing lots of functions that one day one would want to compile; then, we will measure the framework progress by tracking the number of successfully compiled functions over time. Also, this public benchmark will be a way for other competing frameworks or technologies to compare fairly with us, in terms of functionality or performance
- easier installation: we plan to have pip installation of our framework very soon
- Machine Learning helpers: our midterm direction is to provide our users a set of tools to help her turn her use case in an homomorphic equivalent. This set of tools will help her reduce the needed variable precision and/or optimize the operations required to make the fastest possible compiled model.
Also, if you are especially looking for some new feature, you can drop a message to hello@zama.ai.