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hi,I am trying to convert a model trained by mxnet into caffemodel,however after i get the caffemodel file,and tring to test the model on caffe framework,the error occurs:check failed:target_blobs.size() == source_layer.blobs_size() (3 vs 5) incompatible number of blobs for layer bn0.how to solve it
The text was updated successfully, but these errors were encountered:
yeah,the implementation of Batchnorm layer of different versions of caffe matters,you need to check your caffe's version,for example,Nvidia's caffe implement the BN and Scale together
hi,I am trying to convert a model trained by mxnet into caffemodel,however after i get the caffemodel file,and tring to test the model on caffe framework,the error occurs:check failed:target_blobs.size() == source_layer.blobs_size() (3 vs 5) incompatible number of blobs for layer bn0.how to solve it
The text was updated successfully, but these errors were encountered: