torch-blocksparse package:
* Now using warp shuffle in reductions when possible
* Various bugfixes in layout inference
* Added INFINITY, exponential and select
* Better error messages for unimplemented constructs
improvements and bugfixes:
* Added preliminary support for extended Einstein summation in PyTriton
* Significant performance improvement on FP32 kernels containing matrix
multiplication
* Added re-coalescing pass for FP16 kernels containing matrix
multiplication
* Various bugfixes
