Support for bn_param in BatchNormalization

[vinaykumarngitub]

We need support for the following parameters in BN layer:
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0.001
}

[vinaykumarngitub]

File "convert2onnx.py", line 34, in
main(args)
File "convert2onnx.py", line 26, in main
graph, params = loadcaffemodel(caffe_graph_path,caffe_params_path)
File "D:\VinayKumar\Programs\Task8(TRT_SegNet)\caffe-onnx-master\src\load_save_model.py", line 9, in loadcaffemodel
text_format.Merge(open(net_path).read(), net)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 702, in Merge
allow_unknown_field=allow_unknown_field)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 770, in MergeLines
return parser.MergeLines(lines, message)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 795, in MergeLines
self._ParseOrMerge(lines, message)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 817, in _ParseOrMerge
self._MergeField(tokenizer, message)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 942, in _MergeField
merger(tokenizer, message, field)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 1016, in _MergeMessageField
self._MergeField(tokenizer, sub_message)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 942, in _MergeField
merger(tokenizer, message, field)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 1016, in _MergeMessageField
self._MergeField(tokenizer, sub_message)
File "C:\ProgramData\Anaconda3\lib\site-packages\google\protobuf\text_format.py", line 909, in _MergeField
(message_descriptor.full_name, name))
google.protobuf.text_format.ParseError: 58:2 : Message type "caffe.BatchNormParameter" has no field named "scale_filler"

[ZQPei]

The BatchNorm layer in your model is not the same as the official BN layer.
I can not debug for you since I have no model of yours.