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Tensor Comprehensions (TC) is a fully functional C++ library that automatically synthesizes high-performance machine learning kernels using Halide, ISL, and NVRTC or LLVM. TC additionally provides basic integration with Caffe2 and PyTorch. We provide more details in our paper on arXiv. This library is designed to be highly portable, machine-learning-framework agnostic and only requires a simple tensor library with memory allocation, offloading, and synchronization capabilities.
Features
- Documentation available
- Examples available
- This library is designed to be highly portable
- Machine-learning-framework agnostic
- Only requires a simple tensor library with memory allocation, offloading and synchronization capabilities
- Basic integration with Caffe2
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Machine LearningLicense
Apache License V2.0Follow Tensor Comprehensions
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