Common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
DLR is a compact, common runtime for deep learning models and decision tree models compiled by [AWS SageMaker Neo](https://aws.amazon.com/sagemaker/neo/), [TVM](https://tvm.ai/), or [Treelite](https://treelite.readthedocs.io/en/latest/install.html). 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.
## Documentation For instructions on installilng DLR, please refer to [Installing DLR](https://neo-ai-dlr.readthedocs.io/en/latest/install.html)
For instructions on using DLR, please refer to [Amazon SageMaker Neo – Train Your Machine Learning Models Once, Run Them Anywhere](https://aws.amazon.com/blogs/aws/amazon-sagemaker-neo-train-your-machine-learning-models-once-run-them-anywhere/)
Also check out the [API documentation](https://neo-ai-dlr.readthedocs.io/en/latest/)
This library is licensed under the Apache License Version 2.0.
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