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View All on GitHubAI Summary: Implement a Mixture-of-Experts (MoE) model using the DSC library, leveraging its PyTorch-compatible API. This involves creating the MoE model in Python using DSC's `nn.Module`, potentially extending the DSC API if necessary, and ensuring compatibility without requiring new C++ kernels.
Tensor library & inference framework for machine learning
AI Summary: Benchmark the performance of calling a C++ function from Python using three different methods: ctypes, CFFI, and nanobind. This involves creating a simple C++ function, compiling it into a shared library, and then writing Python code to call the function using each of the three methods. The results will be compared to determine which method offers the best performance.
Tensor library & inference framework for machine learning