Building custom Caffe layer in python

Question

After parsing many links regarding building Caffe layers in Python i still have difficulties in understanding few concepts. Can please someone clarify them?

Answer 1

Why it should be 2?

That specific gist is talking about the Euclidian loss layer. Euclidian loss is the mean square error between 2 vectors. Hence there must be 2 vectors in the input blob to this layer. The length of each vector must be same because it is element-wise difference. You can see this check in the reshape method.

Thanks.