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incorporate refactored kernels from cupy/cupy#3184. This seems to give around a 25% performance improvement for nd convolve and correlate. Performance is nearly the same for their 1d versions.
These were modified to support complex signals and weights.
For now, some older implementations for sparse weights are still retained, but it would be good to refactor further to reduce duplication.