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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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1
tools/util/include/cutlass/util/reference/device/tensor_fill.h
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@ -50,7 +50,6 @@
#include "cutlass/array.h"
#include "cutlass/complex.h"
#include "cutlass/tensor_view.h"
#include "cutlass/util/reference/device/tensor_foreach.h"
#include "cutlass/util/distribution.h"

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tools/util/include/cutlass/util/reference/host/tensor_fill.h
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@ -42,7 +42,6 @@
#include "cutlass/subbyte_reference.h"
#include "cutlass/tensor_view.h"
#include "cutlass/tensor_view_planar_complex.h"
#include "cutlass/util/distribution.h"
#include "tensor_foreach.h"