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                                            haoheng lin

使用mingw编译ncnn源码时，出现LONG PVOID等未定义

I try to comment the following code in cpu.cpp (line 190-215) and it works. Though I don't understand why it works. ``` // static LONG CALLBACK catch_sigill(struct _EXCEPTION_POINTERS* ExceptionInfo) //...

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" after...

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 the...

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

And for `转ncnn后推理得到全黑的图像` , maybe u need to re-normalize the output to [0,256] and get the final output.

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 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?...

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 should...

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...