TypeError: forward() missing 1 required positional argument: 'prior_data'?

[liyaowei-stu]

Error code:
output = self.detect(
face_loc.view(face_loc.size(0), -1, 4), # loc preds
self.softmax(face_conf.view(face_conf.size(0), -1, self.num_classes)), # conf preds
self.priors.type(type(x.data)) # default boxes
)

Error message:
Traceback (most recent call last):
File "C:/Users/JUICE/Desktop/lightDSFD/test.py", line 215, in
light_test_oneimage()
File "C:/Users/JUICE/Desktop/lightDSFD/test.py", line 180, in light_test_oneimage
det = infer(net , img , transform , thresh , cuda , shrink)
File "C:/Users/JUICE/Desktop/lightDSFD/test.py", line 99, in infer
y = net(x) # forward pass
File "D:\ProgramData\Anaconda\envs\pytorch12\lib\site-packages\torch\nn\modules\module.py", line 547, in call
result = self.forward(*input, **kwargs)
File "C:\Users\JUICE\Desktop\lightDSFD\light_face_ssd.py", line 334, in forward
self.priors.type(type(x.data)) # default boxes
TypeError: forward() missing 1 required positional argument: 'prior_data'