permute op may have more than 4 dims

[bailiqun]

for example last layers of SSD need to permute tensor of 4 dims, but yolov5 need to permute tensor is 5. master version must be 4 dim tensor, may occur convert error.

[yanzhou-li]

for example last layers of SSD need to permute tensor of 4 dims, but yolov5 need to permute tensor is 5. master version must be 4 dim tensor, may occur convert error.
@bailiqun, @xxradon
hi,i want to transform the code out = x.permute(0,1,2,4,5,3).contiguous().i changed the code Follow your instructions. but it is still an error. as follow:
file "./bisenetv2.py", line 58, in forward shuffle_out = input_view.permute(0, 1, 4, 2, 5, 3).contiguous() File "./pytorch_to_caffe.py", line 619, in _permute bottom=[log.blobs(input)], top=[log.blobs(x)]) File "./Caffe/layer_param.py", line 33, in __init__ self.bottom.extend(bottom) TypeError: None has type NoneType, but expected one of: bytes, unicode
could you tell how to resolve it? by the way, it doesn't seem to have been modified in the code setattr(param,key,param.Value(value))，where layer_param.py,183
looking forward to your reply!