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Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

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DLR

DLR is a compact, common runtime for deep learning models and decision tree models compiled by AWS SageMaker Neo, TVM, or Treelite. DLR uses the TVM runtime, Treelite runtime, NVIDIA TensorRT™, and can include other hardware-specific runtimes. DLR provides unified Python/C++ APIs for loading and running compiled models on various devices. DLR currently supports platforms from Intel, NVIDIA, and ARM, with support for Xilinx, Cadence, and Qualcomm coming soon.

Installation

On X86_64 targets running Linux, you can install latest release of DLR package via

pip install dlr

For installation of DLR on non-x86 edge devices, or building DLR from source, please refer to Installing DLR

Documentation

For instructions on using DLR, please refer to Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere

Also check out the API documentation

License

This library is licensed under the Apache License Version 2.0.

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Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.

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  • Python 54.0%
  • C++ 26.5%
  • Shell 10.2%
  • CMake 9.3%