2e07c4cc2f
CUTLASS 2.7 Mainloop fusion for GEMM: summation over A or B Strided DGRAD (optimized iterators) Half-precision GELU_taylor activation functions Use these when accumulation and epilogue compute types are all cutlass::half_t Tuning and bug fixes to fused GEMM + GEMM example Support for smaller than 128b aligned Convolutions: see examples Caching of results to accelerate Convolution unit tests Can be enabled or disabled by running cmake .. -DCUTLASS_TEST_ENABLE_CACHED_RESULTS=OFF Corrections and bug fixes reported by the CUTLASS community Thank you for filing these issues! authored-by: Haicheng Wu haichengw@nvidia.com, Manish Gupta manigupta@nvidia.com, Dustyn Blasig dblasig@nvidia.com, Andrew Kerr akerr@nvidia.com |
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| .. | ||
| conv2d_operation.py | ||
| conv3d_operation.py | ||
| gemm_operation.py | ||
| generator.py | ||
| library.py | ||
| manifest.py | ||