tvm and tvm-ffi
TVM-FFI is a foreign function interface layer that enables language bindings and interoperability for TVM's compiler runtime, making it a complement that extends TVM's accessibility rather than a standalone alternative.
About tvm
apache/tvm
Open Machine Learning Compiler Framework
This framework helps machine learning engineers and researchers take a trained machine learning model and optimize it to run efficiently on various hardware, from powerful GPUs to tiny embedded devices. It takes your existing model definition and outputs a highly optimized, ready-to-deploy module that performs inference quickly and uses minimal resources. This is for professionals building and deploying machine learning applications who need fine-grained control over performance.
About tvm-ffi
apache/tvm-ffi
Open ABI and FFI for Machine Learning Systems
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