Description
C++ applications can run PyTorch models and tensor operations with CUDA acceleration support.
This package is useful for machine-learning projects, research tools, inference services, simulations, and applications that need the PyTorch C++ API rather than Python. It does not add a model trainer interface by itself; developers link to it and provide the model, data, and execution code.
GPU workloads can consume significant memory, power, and time. Validate models, inputs, privacy requirements, and driver compatibility before using it in production.