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arm端opencl check model是pass的，但是结果就是和arm cpu跑出来的有误差 #462

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banbishan opened this issue Oct 13, 2020 · 3 comments
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arm端opencl check model是pass的，但是结果就是和arm cpu跑出来的有误差 #462

banbishan opened this issue Oct 13, 2020 · 3 comments

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@banbishan
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arm端opencl check model是pass的，但是结果就是和arm cpu跑出来的有误差，看着像fp16产生的，那如何在arm端opencl使用fp32呢
@neiltian-tencent
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误差很大吗？一般fp16可以满足精度要求，如果你需要跑fp32，可以NetworkConfig里面配置PRECISON为PRECISION_NORMAL, OPENCL会跑fp32。

@banbishan
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banbishan commented Oct 19, 2020 •
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误差很大吗？一般fp16可以满足精度要求，如果你需要跑fp32，可以NetworkConfig里面配置PRECISON为PRECISION_NORMAL, OPENCL会跑fp32。

肉眼看着，输出的第一个channel误差非常大，效果就是检测框连在一起，还有一小部分漏检
加上config.precision = tnn::PRECISION_NORMAL;这句就报了如下的错误，
image
不加，不会报错

@banbishan
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这个issue合并到#480

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@banbishan @neiltian-tencent