docs/mma__tensor__op_8h.html
| | CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers |
mma_tensor_op.h File Reference
Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores. More...
#include "cutlass/cutlass.h"
#include "cutlass/array.h"
#include "cutlass/numeric_types.h"
#include "cutlass/matrix_shape.h"
#include "cutlass/arch/memory_sm75.h"
#include "cutlass/arch/mma_sm75.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/warp/mma.h"
#include "cutlass/gemm/warp/mma_tensor_op_policy.h"
#include "cutlass/gemm/warp/mma_tensor_op_tile_iterator.h"
Include dependency graph for mma_tensor_op.h:
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[Go to the source code of this file.](mma tensor op_8h_source.html)
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| class | cutlass::gemm::warp::MmaTensorOp< Shape_, ElementA_, LayoutA_, ElementB_, LayoutB_, ElementC_, LayoutC_, Policy_, PartitionsK_, AccumulatorsInRowMajor, PartitionsN_, Enable > |
| | Structure to compute the matrix product targeting CUDA cores and SIMT math instructions. More...
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| | | cutlass | | | | | cutlass::gemm | | | | | cutlass::gemm::warp | | |
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