SunnyCheng

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extract nullptr?

遇到了同样的问题，extract出来的值是nan，而且我的模型有2个输出值，net.output_names()只能输出一个name

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> What is the result when transfering the model into .param & .bin. Some op not support? I check the output from different output layer and find it prints "NAN"...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> What is the result when transfering the model into .param & .bin. Some op not support? I check the output from different output layer and find it prints "NAN"...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> Hello! 1、but in my practice，the dimension processed by the ncnn model in C++ is also CDHW, and the output is also CDHW. See the code in C++ to flatten...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> Haha I got "LayerNormalization not supported yet!" when turning it to ncnn too. I added the LayerNorm implementation of ncnn, why is it still not supported? It feels like...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> > > Haha I got "LayerNormalization not supported yet!" when turning it to ncnn too. > > > > > > I added the LayerNorm implementation of ncnn, why...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> if you edit the file LayerNorm.cpp the op is still called LayerNorm, but the custom op is callled LayerNormalization according to "LayerNormalization not supported yet!" , so maybe u...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> > > if you edit the file LayerNorm.cpp the op is still called LayerNorm, but the custom op is callled LayerNormalization according to "LayerNormalization not supported yet!" , so...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

> > > if you edit the file LayerNorm.cpp the op is still called LayerNorm, but the custom op is callled LayerNormalization according to "LayerNormalization not supported yet!" , so...

I convert onnx to ncnn successfully, but all my inference is all nan. Eg, the output of net.extract() is all nan.

I used PNNX to resolve my trouble in the end! Thanks @nihui for PNNX!