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CUTLASS 2.7 (#318)

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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
This commit is contained in:
Manish Gupta
2021-09-20 11:02:22 -07:00
committed by GitHub
parent 9ac255863f
commit 2e07c4cc2f
62 changed files with 5611 additions and 186 deletions
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2
examples/03_visualize_layout/CMakeLists.txt
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@ -21,7 +21,7 @@
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
set(TEST_COMMAND_00 RowMajor --extent=16,16)
set(TEST_COMMAND_01 "ColumnMajorInterleaved<4>" --extent=32,8 --output-shape=16 --vectorize=4)
set(TEST_COMMAND_01 \"ColumnMajorInterleaved<4>\" --extent=32,8 --output-shape=16 --vectorize=4)
cutlass_example_add_executable(
03_visualize_layout