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yuanzexi avatar yuanzexi commented on April 28, 2024

@dgl547437235 FLOAT 推理模式下基本无损失;而 HALF 和 INT8 的推理模式下,因数据类型原因定会存在一定的精度损失。由于最终是以 TensorRT 的推理引擎进行推理,所以详细精度损失情况,可参考 TensorRT。

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Fan9 avatar Fan9 commented on April 28, 2024

NLP的Bert分类模型测试,float 32 精度没有损失。HalfINT8暂时还没测

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Fan9 avatar Fan9 commented on April 28, 2024

Bert的float 16也测过了,1000条样本的F1没有损失,可能也和具体任务有关

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yuanzexi avatar yuanzexi commented on April 28, 2024

@Fan9 感谢反馈!~

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github-actions avatar github-actions commented on April 28, 2024

This issue is stale because it has been open 30 days with no activity. Remove stale label or comment or this will be closed in 5 days.

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github-actions avatar github-actions commented on April 28, 2024

This issue was closed because it has been stalled for 5 days with no activity.

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