tvm

Why we included this project

Apache TVM compiles a trained model from a framework like PyTorch or TensorFlow down to a small, optimized module you can embed and run on an edge device, in a phone browser, or on a specific GPU. Instead of depending on one vendor's runtime, you describe the computation once and TVM generates code tuned for the target hardware, which matters for teams that ship models outside a data-center server. Its Python-first pipeline is convenient when you need to customize how models are optimized and lowered. This is worth a look if you have ever trained a model that works fine but turns awkward when you try to get it running efficiently in production on the hardware you actually support.