Converted Caffe model causes exception when loading

[unanan]

Hi, @starimeL . I use this converter to convert my model of trained MTCNN, from pytorch to caffe.
I also convert it to NCNN to test if the error comes from my network or binary file, but it runs well in NCNN. But I convert it to caffe *.prototxt and *.caffemodel. It causes exception when running:

	pnet_ = new caffe::Net<float>(".\\models\\PNet.prototxt", caffe::TEST);
	pnet_->CopyTrainedLayersFrom(".\\models\\PNet.caffemodel");

The error log:

Cannot copy param 0 weights from layer 'PReLU_1'; shape mismatch.  Source param shape is 1 (1); target param shape is 10 (10). To learn this layer's parameters from scratch rather than copying from a saved net, rename the layer.
*** Check failure stack trace: ***

The network:

PNet (
    (pre_layer): Sequential (
      (0): Conv2d(3, 10, kernel_size=(3, 3), stride=(1, 1))
      (1): PReLU (1)
      (2): MaxPool2d (size=(2, 2), stride=(2, 2), dilation=(1, 1))
      (3): Conv2d(10, 16, kernel_size=(3, 3), stride=(1, 1))
      (4): PReLU (1)
      (5): Conv2d(16, 32, kernel_size=(3, 3), stride=(1, 1))
      (6): PReLU (1)
    )
    (conv4_1): Conv2d(32, 1, kernel_size=(1, 1), stride=(1, 1))
    (conv4_2): Conv2d(32, 4, kernel_size=(1, 1), stride=(1, 1))
    (conv4_3): Conv2d(32, 10, kernel_size=(1, 1), stride=(1, 1))
  )
)

Thank you.