Online neural network inferencing made simple in C++
License: BSD 2-Clause "Simplified" License
Author: Matt Norman, Oak Ridge National Laboratory, https://mrnorman.github.io
PONNI provides a convenient way to build an efficient, portable Neural Network inference model in C++ with minimal syntax and full disclosure of exactly how the model is running on an accelerator device. It is built on the Yet Another Kernel Launcher (YAKL) portable C++ library and runs out of the box on Nvidia, AMD, and Intel GPUs as well as CPUs with or without OpenMP 3.5 threading.
This will be limited to only those layers that have no data dependencies in the row dimension, which is most of them.
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