CUTLASS
CUDA Templates for Linear Algebra Subroutines and Solvers
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tools/util/include/cutlass/util/reference/host/gemm.h File Reference

Reference implementation for GEMM in host-side code. More...

#include "cutlass/coord.h"
#include "cutlass/numeric_types.h"
#include "cutlass/functional.h"
#include "cutlass/numeric_conversion.h"
#include "cutlass/matrix_traits.h"
#include "cutlass/tensor_view.h"
#include "cutlass/gemm/gemm.h"
#include "cutlass/arch/mma.h"
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Classes

struct  cutlass::reference::host::Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, ComputeType, InnerProductOp >
 
struct  cutlass::reference::host::Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, ComputeType, arch::OpMultiplyAdd >
 Partial specialization for multiply-add. More...
 
struct  cutlass::reference::host::Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, ComputeType, arch::OpMultiplyAddSaturate >
 Partial specialization for multiply-add-saturate. More...
 
struct  cutlass::reference::host::Gemm< ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, ScalarType, ComputeType, arch::OpXorPopc >
 Parital specialization for XOR-popc. More...
 

Namespaces

 cutlass
 
 cutlass::reference
 
 cutlass::reference::host
 

Functions

template<typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename ComputeType , typename InnerProductOp = multiply_add<ComputeType>, typename ConvertOp = NumericConverter<ElementC, ScalarType>>
void cutlass::reference::host::compute_gemm (gemm::GemmCoord problem_size, ScalarType alpha, TensorRef< ElementA, LayoutA > tensor_a, TensorRef< ElementB, LayoutB > tensor_b, ScalarType beta, TensorRef< ElementC, LayoutC > tensor_c, TensorRef< ElementC, LayoutC > tensor_d, ComputeType initial_accum)
 
template<typename ElementA , typename LayoutA , typename ElementB , typename LayoutB , typename ElementC , typename LayoutC , typename ScalarType , typename ComputeType , typename InnerProductOp = multiply_add<ComputeType>, typename ConvertOp = NumericConverter<ElementC, ScalarType>>
void cutlass::reference::host::compute_gemm (gemm::GemmCoord problem_size, ScalarType alpha, TensorRef< ElementA, LayoutA > tensor_a, TensorRef< ElementB, LayoutB > tensor_b, ScalarType beta, TensorRef< ElementC, LayoutC > tensor_c, ComputeType initial_accum)
 
template<typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType >
void cutlass::reference::host::BatchedGemm (gemm::GemmCoord problem_size, int batch_count, ScalarType alpha, TensorRefCollectionA const &tensor_a, TensorRefCollectionB const &tensor_b, ScalarType beta, TensorRefCollectionC &tensor_c, AccumulatorType initial_accum)
 Computes a batch of GEMMs over a set of matrices of common dimension. More...
 
template<typename TensorRefCollectionA , typename TensorRefCollectionB , typename TensorRefCollectionC , typename ScalarType , typename AccumulatorType >
void cutlass::reference::host::BatchedGemm (gemm::GemmCoord problem_size, int batch_count, ScalarType alpha, TensorRefCollectionA const &tensor_a, TensorRefCollectionB const &tensor_b, ScalarType beta, TensorRefCollectionC &tensor_c)