Closed OMG59E closed 1 year ago
layer { bottom: "cnn/conv7" top: "cnn/conv7" name: "cnn/bn_conv7" type: "BatchNorm" } layer { bottom: "cnn/conv7" top: "cnn/conv7" name: "cnn/scale_conv7" type: "Scale" scale_param { bias_term: true } } layer { name: "cnn/relu7" type: "ReLU" bottom: "cnn/conv7" top: "cnn/conv7" }
layer { name: "cnn/drop" type: "Dropout" bottom: "cnn/conv7" top: "cnn/drop" dropout_param { dropout_ratio: 0.7 } }
layer { name: "cnn/permute0" type: "Permute" bottom: "cnn/drop" top: "cnn/permute0" permute_param { order: 0 order: 2 order: 3 order: 1 } }
FTL | 2019-05-26 18:54:21.904228 | parser_caffe.py:326 _InsertSplits() ] Unknown bottom (blob: cnn/drop) in (layer: 'cnn/permute0')
drop out is not used in inference, you can just delete this layer
layer { bottom: "cnn/conv7" top: "cnn/conv7" name: "cnn/bn_conv7" type: "BatchNorm" } layer { bottom: "cnn/conv7" top: "cnn/conv7" name: "cnn/scale_conv7" type: "Scale" scale_param { bias_term: true } } layer { name: "cnn/relu7" type: "ReLU" bottom: "cnn/conv7" top: "cnn/conv7" }
layer { name: "cnn/drop" type: "Dropout" bottom: "cnn/conv7" top: "cnn/drop" dropout_param { dropout_ratio: 0.7 } }
layer { name: "cnn/permute0" type: "Permute" bottom: "cnn/drop" top: "cnn/permute0" permute_param { order: 0 order: 2 order: 3 order: 1 } }
FTL | 2019-05-26 18:54:21.904228 | parser_caffe.py:326 _InsertSplits() ] Unknown bottom (blob: cnn/drop) in (layer: 'cnn/permute0')