pytorch

1fec9cd7 - [Fixed] Enable Half, BFloat16, and Complex dtypes for coo-coo sparse matmul [CUDA] (#59980)

[Fixed] Enable Half, BFloat16, and Complex dtypes for coo-coo sparse matmul [CUDA] (#59980) Summary: This PR enables Half, BFloat16, ComplexFloat, and ComplexDouble support for matrix-matrix multiplication of COO sparse matrices. The change is applied only to CUDA 11+ builds. `cusparseSpGEMM` also supports `CUDA_C_16F` (complex float16) and `CUDA_C_16BF` (complex bfloat16). PyTorch also supports the complex float16 dtype (`ScalarType::ComplexHalf`), but there is no convenient dispatch, so this dtype is omitted in this PR. cc nikitaved pearu cpuhrsch IvanYashchuk ezyang anjali411 dylanbespalko mruberry Lezcano Pull Request resolved: https://github.com/pytorch/pytorch/pull/59980 Reviewed By: ngimel Differential Revision: D30994115 Pulled By: cpuhrsch fbshipit-source-id: 4f55b99e8e25079d6273b4edf95ad6fa85aeaf24