docs/default__mma__tensor__op_8h.html
| | CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers |
default_mma_tensor_op.h File Reference
Default warp-level GEMM operators selected by data type, size, and layouts of operands. More...
#include "cutlass/cutlass.h"
#include "cutlass/gemm/warp/mma_tensor_op.h"
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[Go to the source code of this file.](default mma tensor__op_8h_source.html)
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| struct | cutlass::gemm::warp::DefaultMmaTensorOp< WarpShape_, InstructionShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator_, PartitionsK, AccumulatorsInRowMajor, PartitionsN > |
| | Partial specialization for m-by-n-by-kgroup. More...
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| struct | cutlass::gemm::warp::DefaultMmaTensorOp< WarpShape_, InstructionShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator_, PartitionsK, AccumulatorsInRowMajor, PartitionsN > |
| | Partial specialization for m-by-n-by-kgroup. More...
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| | | cutlass | | | | | cutlass::gemm | | | | | cutlass::gemm::warp | | |
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