docs/batched__reduction__traits_8h.html
| | CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers |
batched_reduction_traits.h File Reference
Defines structural properties of complete batched reduction. D = alpha * Reduction(A) + beta * C. More...
#include "cutlass/cutlass.h"
#include "cutlass/shape.h"
#include "cutlass/reduction/threadblock_swizzle.h"
#include "cutlass/reduction/batched_reduction.h"
#include "cutlass/gemm/linear_scaling.h"
Include dependency graph for batched_reduction_traits.h:
[Go to the source code of this file.](batched reduction traits_8h_source.html)
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| | struct | cutlass::reduction::BatchedReductionTraits< ScalarA_, ScalarC_, ScalarD_, ScalarAlphaBeta_, ScalarAccum_, ReductionSize_, OutputTile_, SubTile_, ThreadShape_, Index_, BlockSwizzle_, maxInReg_, maxOutReg_, Functor_ > | | | | struct | cutlass::reduction::BatchedReductionTraits< ScalarA_, ScalarC_, ScalarD_, ScalarAlphaBeta_, ScalarAccum_, ReductionSize_, OutputTile_, SubTile_, ThreadShape_, Index_, BlockSwizzle_, maxInReg_, maxOutReg_, Functor_ >::Params | | |
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| | | cutlass | | | | | cutlass::reduction | | |
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