Hi, I'm writing a elemwise Op with special purpose, it's c_code should be different when it's working with tensor objects. (Actually, it's for gh:#5471 <https://github.com/Theano/Theano/issues/5471>)
Current I'm only working with the CPU version. Here's the approach I'm taking so far, I modified this line in tensor/elemwise.py <https://github.com/Theano/Theano/blob/master/theano/tensor/elemwise.py#L946> into: defines = "#define TENSOR_ELEMWISE" undefs = "#undef TENSOR_ELEMWISE" The elemwise Op looks like: class MyOp(scalar.ScalarOp): nin = 0 # < ... > def c_code(self, node, name, inputs, outputs, sub): out, = outputs op_name = type(self).__name__ code = ''' #ifndef TENSOR_ELEMWISE %(out)s = 1227; #else %(out)s = 1337; #endif ''' % locals() return code However, even though I build a graph with matrix input, the elemwise Op still takes the "1227" branch. Further investigation of generated code shows MyOp is compiled into a separate mod.cpp than the main elemwise loop. I suppose this could be due to a few optimizations. However, as I'm still unfamiliar with opt code base, I couldn't figure out where. Any clue how to force the c_code of MyOp into the elemwise loop, so that the "1337" branch will be taken when dealing with tensor? Thanks. -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
