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自己训练了一个模型,然后替换到模型目录,用这个同一个模型,在电脑上推理的结果和在安卓上推理的结果差异很大: 电脑上评估 准确度96%, 到了安卓上只有54% 请问使用安卓框架推理时,模型的精度是会受到 影响吗?
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同样的模型,同样的推理框架,把相同的矩阵数据输入给推理框架(例如onnxruntime),输出的矩阵数据应该差不多。 不会完全相同是因为,不同编程语言以及不同的cpu架构,对浮点格式处理不一样,可以网上搜"python C++ 浮点精度"相关文章。 另外你是如何对比的?
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自己训练了一个模型,然后替换到模型目录,用这个同一个模型,在电脑上推理的结果和在安卓上推理的结果差异很大:
电脑上评估 准确度96%, 到了安卓上只有54%
请问使用安卓框架推理时,模型的精度是会受到 影响吗?
The text was updated successfully, but these errors were encountered: