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您好,请问一下,我在用C++加载PaddleSeg训练的模型进行推理时,基于开启Mkldnn加速的条件下,输入图像的Shape变化较大时推理会出错,例如:第一次加载的Shape是10001000第二次是500500 这种情况有办法规避吗?求解
The text was updated successfully, but these errors were encountered:
麻烦贴一下用的什么模型,具体报错信息,还有你的代码吧。
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麻烦贴一下用的什么模型,具体报错信息,还有你的代码吧。 模型用的是这个配置文件训练的模型
zhang-prog
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问题描述 Please describe your issue
您好,请问一下,我在用C++加载PaddleSeg训练的模型进行推理时,基于开启Mkldnn加速的条件下,输入图像的Shape变化较大时推理会出错,例如:第一次加载的Shape是10001000第二次是500500 这种情况有办法规避吗?求解
The text was updated successfully, but these errors were encountered: