Earlier quoted context omitted.
Hmm Which C++ version you guys are using?
MSVC 2019, g++ 10, clang 11.
I was asking C++ version not compiler version. So, C++11 or C++14?
Flashlight: Fast and flexible machine learning in C++
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Re: Flashlight: Fast and flexible machine learning in C++
#92Re: Flashlight: Fast and flexible machine learning in C++
#93Earlier quoted context omitted.
I was asking C++ version not compiler version. So, C++11 or C++14?
C++17 and some C++20.
Okay. I suggest you to try Clang's Cling. It's the JIT version of C++ and everything is instant.
Re: Flashlight: Fast and flexible machine learning in C++
#94Anyone has experience with the JIT in arrayfire? https://arrayfire.com/performance-improvements-to-jit-in-arr... Many interesting features in this framework, autograd looks neat too. I guess the deployment in real world C++ apps will be easier than PyTorch or Tensorflow, especially at the edge in scenarios with little or no network access.
Happy to speak to JIT in ArrayFire if you have any specific questions. I am ArrayFire's CEO/Co-Founder.
Re: Flashlight: Fast and flexible machine learning in C++
#95Great work by the team, I like that they re-used ArrayFire instead of Yet Another Tensor Library feels refreshing to use native code again to build ML Pipelines for these kind of tasks.
Thank you!
Re: Flashlight: Fast and flexible machine learning in C++
#96Flashlight is a great project, and we're proud to be part of it. I'm with ArrayFire. If anyone has questions or feedback for ArrayFire, I'm here to be useful however I can!