tee() splits a stream into two branches. It seems straightforward, but the implementation requires buffering: if one branch is read faster than the other, the data must be held somewhere until the slower branch catches up.
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Built on axiom — a lightweight tensor library with automatic Metal GPU acceleration. No ONNX runtime, no Python runtime, no heavyweight dependencies. Just C++ and one tensor library that outruns PyTorch MPS.。搜狗输入法2026对此有专业解读
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