arch/mma_sm61.h
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#pragma once
#include "cutlass/layout/matrix.h"
namespace cutlass {
namespace arch {
template <typename LayoutA, typename LayoutB, typename LayoutC>
struct Mma<
gemm::GemmShape<1,1,4>,
1,
int8_t,
LayoutA,
int8_t,
LayoutB,
int,
LayoutC,
OpMultiplyAdd> {
using Shape = gemm::GemmShape<1, 1, 4>;
CUTLASS_HOST_DEVICE
void operator()(
Array<int, 1> &d,
Array<int8_t, 4> const &a,
Array<int8_t, 4> const &b,
Array<int, 1> const &c
) {
#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 610))
unsigned const &A = reinterpret_cast<unsigned const &>(a);
unsigned const &B = reinterpret_cast<unsigned const &>(b);
asm volatile("dp4a.s32.s32 %0, %1, %2, %3;"
: "=r"(d[0])
: "r"(A), "r"(B), "r"(c[0]));
#else
d[0] = c[0];
CUTLASS_PRAGMA_UNROLL
for (int k = 0; k < 4; ++k) {
d[0] += a[k] * b[k];
}
#endif
}
};
template <typename LayoutC>
struct Mma<
gemm::GemmShape<1, 1, 2>,
1,
int16_t,
layout::RowMajor,
int16_t,
layout::ColumnMajor,
int,
LayoutC,
OpMultiplyAdd> {
using Shape = gemm::GemmShape<1, 1, 2>;
CUTLASS_HOST_DEVICE
void operator()(
Array<int, 1> &d,
Array<int16_t, 2> const &a,
Array<int16_t, 2> const &b,
Array<int, 1> const &c
) {
#if (defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 610))
unsigned const &A = reinterpret_cast<unsigned const &>(a);
unsigned const &B = reinterpret_cast<unsigned const &>(b);
asm volatile("dp2a.s32.s32 %0, %1, %2, %3;"
: "=r"(d[0])
: "r"(A), "r"(B), "r"(c[0]));
#else
d[0] = c[0];
CUTLASS_PRAGMA_UNROLL
for (int k = 0; k < 2; ++k) {
d[0] += a[k] * b[k];
}
#endif
}
};
}
}
cutlass
Definition: aligned_buffer.h:35
cutlass::arch::Mma< gemm::GemmShape< 1, 1, 4 >, 1, int8_t, LayoutA, int8_t, LayoutB, int, LayoutC, OpMultiplyAdd >::operator()
CUTLASS_HOST_DEVICE void operator()(Array< int, 1 > &d, Array< int8_t, 4 > const &a, Array< int8_t, 4 > const &b, Array< int, 1 > const &c)
Definition: arch/mma_sm61.h:56
cutlass::layout::ColumnMajor
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
CUTLASS_PRAGMA_UNROLL
#define CUTLASS_PRAGMA_UNROLL
Definition: cutlass.h:110
CUTLASS_HOST_DEVICE
#define CUTLASS_HOST_DEVICE
Definition: cutlass.h:89
cutlass::gemm::GemmShape
Shape of a matrix multiply-add operation.
Definition: include/cutlass/gemm/gemm.h:57
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
matrix.h
Defines layout functions used by TensorRef and derived classes.
cutlass::arch::Mma
Matrix multiply-add operation.
Definition: arch/mma.h:92
cutlass::arch::Mma< gemm::GemmShape< 1, 1, 2 >, 1, int16_t, layout::RowMajor, int16_t, layout::ColumnMajor, int, LayoutC, OpMultiplyAdd >::operator()
CUTLASS_HOST_DEVICE void operator()(Array< int, 1 > &d, Array< int16_t, 2 > const &a, Array< int16_t, 2 > const &b, Array< int, 1 > const &c)
Definition: arch/mma_sm61.h:103