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[SPARSE] Improve sparse performance on ROCM (apache#7935)
* [SPARSE] Improve sparse performance on ROCM The current sparse dense gpu kernel uses warp level storage to handling caching of data. Warp level storage uses shuffle intrinsics, which are slow on rocm (because they actually read and write to shared memory). Rocm does provide intrinsics to do the correct memory management, but they are not available through tvm. Instead this PR switches to using shared memory on rocm devices. Performance is about 2x faster. * default to shared mem * formatting * formatting
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