The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
If the transform's transform() operation is synchronous and always enqueues output immediately, it never signals backpressure back to the writable side even when the downstream consumer is slow. This is a consequence of the spec design that many developers completely overlook. In browsers, where there's only a single user and typically only a small number of stream pipelines active at any given time, this type of foot gun is often of no consequence, but it has a major impact on server-side or edge performance in runtimes that serve thousands of concurrent requests.
。关于这个话题，旺商聊官方下载提供了深入分析
A while back, I was browsing Reddit and came across a thread about hotaudio.net. For those unfamiliar, it’s a website developed by u/fermaw, the very same developer behind the ever-popular gwasi.com.
2024年12月23日 星期一 新京报