This structure fit neatly into what we needed for the offlining work. A new serverless repo was created for generating the Native AOT DLL files. The repo contains a core project that depends on the pre-existing library projects allowing for code reuse. Individual platform projects were created for handling all the custom build and linking logic required for Windows as well as each supported console.
量化将模型权重从 32/16 位数字压缩为 8 位 (int8) 或 4 位 (int4)。位数越少，文件越小，推理速度越快，但质量可能越低。
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一文搞懂深度学习的反向传播与优化理论！
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