TFLite 转换 — 使用 ai-edge-torch 将 PyTorch 模型转换为 TFLite 模型，应用 int8 量化
"It's getting worse and worse, week in, week out," the organisation's co-founder Becky Joyce says in the cold February air.
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The API recognizes that synchronous data sources are both necessary and common. The application should not be forced to always accept the performance cost of asynchronous scheduling simply because that's the only option provided. At the same time, mixing sync and async processing can be dangerous. Synchronous paths should always be an option and should always be explicit.
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