In numba codegen, the dimensionality of the input variable is not checked. This leads to issues when the kernel is defined to process in an element wise manner but the input is multi-dimensional. Should we enforce the number of input arguments to the same as the model's num?
In numba codegen, the dimensionality of the input variable is not checked. This leads to issues when the kernel is defined to process in an element wise manner but the input is multi-dimensional. Should we enforce the number of input arguments to the same as the model's num?