Active dimension support (including for combination kernels) #105
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uri-granta
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Add support for active dims. In order to support combination kernels such as Sum or SeparateIndependent, weights need to be stored as a list of tensors rather than a single higher rank tensor, since the active input dimensions may vary between subkernels.