mnn flatbuffer

mnn flatbuffer是指使用Flatbuffers库来处理MNN（Mobile Neural Network）模型的二进制缓存文件。在MNN中，它使用Flatbuffers来序列化和反序列化模型数据，以实现高效的加载和传输。通过使用Flatbuffers，MNN可以快速地将模型数据序列化为二进制buffer，并在需要时快速反序列化，从而提高了加载模型的速度。此外，Flatbuffers还具有占用空间小、使用简单、代码自动化生成等优点，使其在移动端应用中更加适用。因此，mnn flatbuffer是指使用Flatbuffers来处理MNN模型缓存的方式。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [MNN Interpreter and Session](https://blog.csdn.net/yiran103/article/details/108552734)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *3* [序列化与反序列化之Flatbuffers（一）：初步使用](https://blog.csdn.net/hsqyc/article/details/115719054)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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