Is there any way the heavily pruned weights can be convolved faster in pytorch? Also, how pytorch handles the Conv2d for sparse networks? Is it the simple CSR of the GMMM?
Is there any way the heavily pruned weights can be convolved faster in pytorch? Also, how pytorch handles the Conv2d for sparse networks? Is it the simple CSR of the GMMM?