README.md



Intel nGraph library  project
Welcome to the Intel nGraph project, an open source C++ library for developers
of Deep Learning (DL) systems. Here you will find a suite of components, APIs,
and documentation that can be used to compile and run Deep Neural Network (DNN)
models defined in a variety of frameworks.
The nGraph library translates a framework’s representation of computations into
an Intermediate Representation (IR) designed to promote computational efficiency
on target hardware. Initially-supported backends include Intel Architecture CPUs,
the Intel Nervana Neural Network Processor (NNP), and NVIDIA* GPUs.
Currently-supported compiler optimizations include efficient memory management
and data layout abstraction.
See our install docs for how to get started.
For this early release, we provide framework integration guides to compile
MXNet and TensorFlow-based projects.