Machine Learning in C++ with PyTorch
summary
PyTorch gains a native C++ Frontend built on the same C++ backend with tensors, CUDA support and automatic differentiation, so C++ code mirrors Python examples: linear layers, SGD optimizer, gradient computation and an example multithreaded synchronous data loader all run without a Python envelope. FAIR uses it for low‑latency StarCraft research, and source, slides and docs are on GitHub, indicating a working, production‑grade integration rather than a sketch or promise.
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