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Menace-Dragon avatar Menace-Dragon commented on August 29, 2024

Capture
如图，（当然你也发现了，该resize算子输入尺寸为23x23，输出为45x45，居然不是2倍关系，我也迷惑

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Menace-Dragon avatar Menace-Dragon commented on August 29, 2024

但是我又看了一下，该模型是Pytorch.onnx export出来的opset11，应该是比较正常的算子，Resize算子写的虽然省略了东西但是应该没毛病（ONNXRuntime可以跑通该模型）

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ZhangZhiPku avatar ZhangZhiPku commented on August 29, 2024

据我所知你拿ppq转换onnx的模型到caffe问题可多了，或者从caffe转换到onnx也一堆问题，主要是它们有些定义好像不是很一样...你确定要这样搞的话可以解除439行的判断试试，虽然它后面可能还要别的问题。

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Menace-Dragon avatar Menace-Dragon commented on August 29, 2024

有道理，emmmmmmmm那我暂时先不考虑这个模型了

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ZhangZhiPku avatar ZhangZhiPku commented on August 29, 2024

好像就只有caffe进caffe出是可以的，你这个东西是输入了一个onnx然后要导出caffe？

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Menace-Dragon avatar Menace-Dragon commented on August 29, 2024

确实，我才意识到，PPL_DSP_INT8只能导出CaffeModel。再叨扰问一下，，，PPL_DSP_INT8的DSP，指的是量化完成的模型是在CPU上运行的吗？

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ZhangZhiPku avatar ZhangZhiPku commented on August 29, 2024

好像不是这样的，这个PPL_DSP_INT8指的是按照PPL_DSP的量化规则对模型进行量化，确定每一个算子的具体量化细节。这一规则适用于PPL_DSP和SNPE平台。

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Menace-Dragon avatar Menace-Dragon commented on August 29, 2024

ohh明白了，感谢

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