wmma_sm72.h
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#pragma once
#include <assert.h>
#include "cutlass/layout/matrix.h"
namespace cutlass {
namespace arch {
//
// WMMA template structure defines nvcuda::wmma::fragments and static assert for
// wmma native instruction sizes supported for int8_t
//
template <
typename Shape_,
typename LayoutA_,
typename LayoutB_,
typename LayoutC_>
struct Wmma<
Shape_,
int8_t,
LayoutA_,
int8_t,
LayoutB_,
int32_t,
LayoutC_,
cutlass::arch::OpMultiplyAdd
> {
#if defined(CUTLASS_ARCH_WMMA_SM72_ENABLED)
using Shape = Shape_;
using ElementA = int8_t;
using LayoutA = LayoutA_;
using ElementB = int8_t;
using LayoutB = LayoutB_;
using ElementC = int32_t;
using LayoutC = LayoutC_;
using Operator = cutlass::arch::OpMultiplyAdd;
// check supported wmma shape for the given multiplicand data types
static_assert(
platform::is_same<cutlass::gemm::GemmShape<16, 16, 16>, Shape>::value ||
platform::is_same<cutlass::gemm::GemmShape< 8, 32, 16>, Shape>::value ||
platform::is_same<cutlass::gemm::GemmShape<32, 8, 16>, Shape>::value,
"Supported list of wmma operator shape for s8 multiplicands are: 16x16x16, 8x328x16, and 32x8x16");
// Wmma Fragment
using FragmentA = nvcuda::wmma::fragment<
nvcuda::wmma::matrix_a,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementA>::Type,
typename CutlassToWmmaLayout<LayoutA>::Layout>;
using FragmentB = nvcuda::wmma::fragment<
nvcuda::wmma::matrix_b,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementB>::Type,
typename CutlassToWmmaLayout<LayoutB>::Layout>;
using FragmentC = nvcuda::wmma::fragment<
nvcuda::wmma::accumulator,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementC>::Type>;
CUTLASS_DEVICE
void operator()(
FragmentC &D,
FragmentA const &A,
FragmentB const &B,
FragmentC const &C) const {
nvcuda::wmma::mma_sync(D, A, B, C);
}
#else
static_assert(false, "wmma.mma.sync interger type multiplicands is avialable only for SM72 and beyond");
#endif
};
//
// WMMA template structure defines nvcuda::wmma::fragments and static assert for
// wmma native instruction sizes supported for uint8_t
//
template <
typename Shape_,
typename LayoutA_,
typename LayoutB_,
typename LayoutC_>
struct Wmma<
Shape_,
uint8_t,
LayoutA_,
uint8_t,
LayoutB_,
int32_t,
LayoutC_,
cutlass::arch::OpMultiplyAdd
> {
#if defined(CUTLASS_ARCH_WMMA_SM72_ENABLED)
using Shape = Shape_;
using ElementA = uint8_t;
using LayoutA = LayoutA_;
using ElementB = uint8_t;
using LayoutB = LayoutB_;
using ElementC = int32_t;
using LayoutC = LayoutC_;
using Operator = cutlass::arch::OpMultiplyAdd;
// check supported wmma shape for the given multiplicand data types
static_assert(
platform::is_same<cutlass::gemm::GemmShape<16, 16, 16>, Shape>::value ||
platform::is_same<cutlass::gemm::GemmShape< 8, 32, 16>, Shape>::value ||
platform::is_same<cutlass::gemm::GemmShape<32, 8, 16>, Shape>::value,
"Supported list of wmma operator shape for u8 multiplicands are: 16x16x16, 8x328x16, and 32x8x16");
// Wmma Fragment
using FragmentA = nvcuda::wmma::fragment<
nvcuda::wmma::matrix_a,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementA>::Type,
typename CutlassToWmmaLayout<LayoutA>::Layout>;
using FragmentB = nvcuda::wmma::fragment<
nvcuda::wmma::matrix_b,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementB>::Type,
typename CutlassToWmmaLayout<LayoutB>::Layout>;
using FragmentC = nvcuda::wmma::fragment<
nvcuda::wmma::accumulator,
Shape::kM,
Shape::kN,
Shape::kK,
typename CutlassToWmmaDataType<ElementC>::Type>;
CUTLASS_DEVICE
void operator()(
FragmentC &D,
FragmentA const &A,
FragmentB const &B,
FragmentC const &C) const {
nvcuda::wmma::mma_sync(D, A, B, C);
}
#else
static_assert(false, "wmma.mma.sync interger type multiplicands is avialable only for SM72 and beyond");
#endif
};
} // namespace arch
} // namespace cutlass
cutlass
Definition: aligned_buffer.h:35
cutlass::platform::is_same
std::is_same (false specialization)
Definition: platform.h:394
cutlass::gemm::GemmShape
Shape of a matrix multiply-add operation.
Definition: include/cutlass/gemm/gemm.h:57
static_assert
#define static_assert(__e, __m)
Definition: platform.h:153
matrix.h
Defines layout functions used by TensorRef and derived classes.