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提交 8fe8edf4 编写于 作者: M Megvii Engine Team
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feat(dnn): add fp16 mk8 16x12 matmul algo 

GitOrigin-RevId: d9978fa5890e3feb8f2383fce4fa3b4f00cd93bf
上级 21a975f8
隐藏空白更改
内联 并排
Showing with 757 addition and 2 deletion
dnn/src/aarch64/matrix_mul/algos.cpp
浏览文件 @ 8fe8edf4
......@@ -352,6 +352,61 @@ MatrixMulImpl::kern_t MatrixMulImpl::AlgoF16MK8_8x8::get_kern(
return kern_mk8_8x8;
}
/* ==================== F16_MK8_16x12x1 algo ====================*/
bool MatrixMulImpl::AlgoF16MK8_16x12x1::usable(
const KernSizeParam& kern_size_param) const {
return kern_size_param.compute_mode == Param::ComputeMode::DEFAULT &&
kern_size_param.C_type == kern_size_param.A_type &&
kern_size_param.B_type == kern_size_param.A_type &&
kern_size_param.A_type == dtype::Float16() &&
kern_size_param.format == param::MatrixMul::Format::MK8 &&
!kern_size_param.trA && !kern_size_param.trB;
}
size_t MatrixMulImpl::AlgoF16MK8_16x12x1::get_workspace(
const KernSizeParam& kern_size_param) const {
MIDOUT_BEGIN(
megdnn_aarch64_matmul_kern,
midout_iv("AlgoF16MK8_16x12x1::get_workspace"_hash)) {
auto M = kern_size_param.M, N = kern_size_param.N, K = kern_size_param.K;
auto trA = kern_size_param.trA, trB = kern_size_param.trB;
auto A_type = kern_size_param.A_type, B_type = kern_size_param.B_type,
C_type = kern_size_param.C_type;
aarch64::matmul::hgemm_mk8_16x12 strategy(M, N, K, A_type, B_type, C_type);
return megdnn::matmul::GemmInterleaved<aarch64::matmul::hgemm_mk8_16x12>(
M, N, K, trA, trB, strategy)
.get_workspace_size();
}
MIDOUT_END();
return 0;
}
MatrixMulImpl::kern_t MatrixMulImpl::AlgoF16MK8_16x12x1::get_kern(
const KernSizeParam&) const {
auto kern_mk8_16x12x1 = [](const MatrixMulImpl::KernParam& kern_param) {
MIDOUT_BEGIN(
megdnn_aarch64_matmul_kern,
midout_iv("AlgoF16MK8_16x12x1::get_kern"_hash)) {
auto M = kern_param.M, N = kern_param.N, K = kern_param.K;
auto trA = kern_param.trA, trB = kern_param.trB;
auto LDA = kern_param.LDA, LDB = kern_param.LDB, LDC = kern_param.LDC;
auto A_type = kern_param.A_type, B_type = kern_param.B_type,
C_type = kern_param.C_type;
const auto Aptr = kern_param.A<dt_float16>(),
Bptr = kern_param.B<dt_float16>();
auto Cptr = kern_param.C<dt_float16>();
aarch64::matmul::hgemm_mk8_16x12 strategy(M, N, K, A_type, B_type, C_type);
megdnn::matmul::GemmInterleaved<aarch64::matmul::hgemm_mk8_16x12>(
M, N, K, trA, trB, strategy)
.execute(Aptr, LDA, Bptr, LDB, Cptr, LDC, kern_param.workspace_ptr);
}
MIDOUT_END();
};
return kern_mk8_16x12x1;
}
#endif
#if MGB_ENABLE_DOT
......
dnn/src/aarch64/matrix_mul/algos.h
浏览文件 @ 8fe8edf4
......@@ -86,6 +86,17 @@ public:
MEGDNN_DECL_ALGO_TYPE(AARCH64_F16_MK8_8X8)
};
class MatrixMulImpl::AlgoF16MK8_16x12x1 final : public AlgoBase {
public:
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
const char* name() const override { return "AARCH64_F16_MK8_16X12X1"; }
bool usable(const KernSizeParam&) const override;
size_t get_workspace(const KernSizeParam&) const override;
kern_t get_kern(const KernSizeParam&) const override;
MEGDNN_OVERRIDE_MATMUL_DESC(16, 12, 1, 2, AlgoDataType::FLOAT16, MK8);
MEGDNN_DECL_ALGO_TYPE(AARCH64_F16_MK8_16X12X1);
};
#endif
#if MGB_ENABLE_DOT
......
dnn/src/aarch64/matrix_mul/asm/common.h
浏览文件 @ 8fe8edf4
......@@ -1142,6 +1142,29 @@ static inline void interleave_2x4_4_s(const T*& inptr0, const T*& inptr1, T* out
: "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "memory");
}
template <typename T>
static inline void interleave_2x8_2_h(const T*& inptr0, const T*& inptr1, T* outptr) {
static_assert(sizeof(T) == 2, "interleave_2x8_2_s only support size == 2");
asm volatile(
"ld1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%[inptr0]], #64\n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%[inptr0]], #64\n"
"ld1 {v8.8h, v9.8h, v10.8h, v11.8h}, [%[inptr1]], #64\n"
"ld1 {v12.8h, v13.8h, v14.8h, v15.8h}, [%[inptr1]], #64\n"
"stp q0, q8, [%[outptr]]\n"
"stp q1, q9, [%[outptr], #32]\n"
"stp q2, q10, [%[outptr], #64]\n"
"stp q3, q11, [%[outptr], #96]\n"
"stp q4, q12, [%[outptr], #128]\n"
"stp q5, q13, [%[outptr], #160]\n"
"stp q6, q14, [%[outptr], #192]\n"
"stp q7, q15, [%[outptr], #224]\n"
: [inptr0] "+r"(inptr0), [inptr1] "+r"(inptr1), [outptr] "+r"(outptr)
:
: "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11",
"v12", "v13", "v14", "v15", "memory");
}
template <typename T>
static inline void interleave_1x4_4_s(const T*& inptr0, T* outptr) {
static_assert(sizeof(T) == 4, "interleave_1x4_4_s only support size == 4");
......@@ -1154,6 +1177,20 @@ static inline void interleave_1x4_4_s(const T*& inptr0, T* outptr) {
: "v0", "v1", "v2", "v3", "memory");
}
template <typename T>
static inline void interleave_1x8_2_h(const T*& inptr0, T* outptr) {
static_assert(sizeof(T) == 2, "interleave_1x8_2_s only support size == 2");
asm volatile(
"ld1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%[inptr0]], #64\n"
"ld1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%[inptr0]], #64\n"
"st1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%[outptr]], #64\n"
"st1 {v4.8h, v5.8h, v6.8h, v7.8h}, [%[outptr]], #64\n"
: [inptr0] "+r"(inptr0), [outptr] "+r"(outptr)
:
: "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "memory");
}
template <typename T>
static inline void interleave_4x8_2_b(
const T*& inptr0, const T*& inptr1, const T*& inptr2, const T*& inptr3,
......@@ -1548,6 +1585,49 @@ static inline void transpose_1x12_4_s(const T*& inptr0, T* outptr) {
"memory");
}
template <typename T>
static inline void transpose_1x12_2_h(const T*& inptr, T* outptr) {
static_assert(sizeof(T) == 2, "transpose_1x12_2_s only support sizeof(T) == 2");
asm volatile(
"ld4 {v0.4s, v1.4s, v2.4s, v3.4s}, [%[inptr]], #64\n"
"ld4 {v4.4s, v5.4s, v6.4s, v7.4s}, [%[inptr]], #64\n"
"ld4 {v8.4s, v9.4s, v10.4s, v11.4s}, [%[inptr]], #64\n"
"uzp1 v12.8h, v0.8h, v4.8h\n"
"st1 {v12.8h}, [%[outptr]], #16\n" // line[0][0-7]
"uzp1 v14.8h, v8.8h, v9.8h\n"
"st1 {v14.d}[0], [%[outptr]], #8\n" // line[0][8-11]
"uzp2 v13.8h, v0.8h, v4.8h\n"
"st1 {v13.8h}, [%[outptr]], #16\n" // line[1][0-7]
"uzp2 v15.8h, v8.8h, v9.8h\n"
"st1 {v15.d}[0], [%[outptr]], #8\n" // line[1][8-11]
"uzp1 v16.8h, v1.8h, v5.8h\n"
"st1 {v16.8h}, [%[outptr]], #16\n" // line[2][0-7]
"st1 {v14.d}[1], [%[outptr]], #8\n" // line[2][8-11]
"uzp2 v17.8h, v1.8h, v5.8h\n"
"st1 {v17.8h}, [%[outptr]], #16\n" // line[3][0-7]
"st1 {v15.d}[1], [%[outptr]], #8\n" // line[3][8-11]
"uzp1 v18.8h, v2.8h, v6.8h\n"
"st1 {v18.8h}, [%[outptr]], #16\n" // line[4][0-7]
"uzp1 v19.8h, v10.8h, v11.8h\n"
"st1 {v19.d}[0], [%[outptr]], #8\n" // line[4][8-11]
"uzp2 v20.8h, v2.8h, v6.8h\n"
"st1 {v20.8h}, [%[outptr]], #16\n" // line[5][0-7]
"uzp2 v21.8h, v10.8h, v11.8h\n"
"st1 {v21.d}[0], [%[outptr]], #8\n" // line[5][8-11]
"uzp1 v22.8h, v3.8h, v7.8h\n"
"st1 {v22.8h}, [%[outptr]], #16\n" // line[6][0-7]
"st1 {v19.d}[1], [%[outptr]], #8\n" // line[6][8-11]
"uzp2 v23.8h, v3.8h, v7.8h\n"
"st1 {v23.8h}, [%[outptr]], #16\n" // line[7][0-7]
"st1 {v21.d}[1], [%[outptr]], #8\n" // line[7][8-11]
: [inptr] "+r"(inptr), [outptr] "+r"(outptr)
:
: "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v7", "v8", "v9", "v10", "v11",
"v12", "v13", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21",
"v22", "v23", "memory");
}
template <typename T>
static inline void transpose_1x4_4_s(const T*& inptr0, T* outptr) {
static_assert(sizeof(T) == 4, "transpose_1x4_4_s only support sizeof(T) == 4");
......
dnn/src/aarch64/matrix_mul/fp16/kernel_mk8_16x12.h 0 → 100644
浏览文件 @ 8fe8edf4
#pragma once
#include "src/aarch64/matrix_mul/asm/common.h"
#include "src/aarch64/matrix_mul/fp16/strategy.h"
#include "src/arm_common/simd_macro/marm_neon.h"
#include "src/common/utils.h"
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
namespace megdnn {
namespace aarch64 {
struct matmul_mk8_16x12 {
template <size_t M_BLOCK, size_t N_BLOCK>
static void kern(
const dt_float16* packedA, const dt_float16* packedB, int K,
dt_float16* out, int LDC, bool is_first_k);
static void hgemm_16x12_pack_A(
dt_float16* outptr, const dt_float16* inptr, int ldin, int y0, int ymax,
int k0, int kmax) {
megdnn_assert(y0 % 8 == 0 && ymax % 8 == 0, "M must be time of 8");
megdnn_assert(k0 % 8 == 0 && kmax % 8 == 0, "K must be time of 8");
constexpr int PACK_SIZE_128 = 16 * 8;
constexpr int PACK_SIZE_64 = 8 * 8;
constexpr int PACK_C_SIZE = 8;
int y = y0;
for (; y + 15 < ymax; y += 16) {
const dt_float16* inptr0 = inptr + y / PACK_C_SIZE * ldin + k0;
const dt_float16* inptr1 = inptr0 + ldin;
prefetch_4x(inptr0);
prefetch_4x(inptr1);
for (int k = k0; k < kmax; k += 8) {
interleave_2x8_2_h(inptr0, inptr1, outptr);
outptr += PACK_SIZE_128;
}
}
for (; y < ymax; y += 8) {
const dt_float16* inptr0 = inptr + y / PACK_C_SIZE * ldin + k0;
prefetch_4x(inptr0);
for (int k = k0; k < kmax; k += 8) {
interleave_1x8_2_h(inptr0, outptr);
outptr += PACK_SIZE_64;
}
}
}
static void hgemm_16x12_pack_B(
dt_float16* out, const dt_float16* in, int ldin, int x0, int xmax, int k0,
int kmax) {
megdnn_assert(k0 % 8 == 0 && kmax % 8 == 0, "K must be time of 8");
dt_float16 tmpbuff[96] = {static_cast<dt_float16>(0.0)};
constexpr int PACK_C_SIZE = 8;
int ksize = kmax - k0;
int ksize12 = ksize * 12;
dt_float16* outptr_base = out;
for (int k = k0; k < kmax; k += 8) {
const dt_float16* inptr = in + k / PACK_C_SIZE * ldin + x0 * PACK_C_SIZE;
prefetch_3x(inptr);
int x = x0;
auto outptr = outptr_base;
for (; x + 12 <= xmax; x += 12) {
auto outptr_interleave = outptr;
transpose_1x12_2_h(inptr, outptr_interleave);
outptr += ksize12;
}
if (x < xmax) {
std::memcpy(
tmpbuff, inptr, sizeof(dt_float16) * (xmax - x) * PACK_C_SIZE);
auto outptr_interleave = outptr;
inptr = tmpbuff;
transpose_1x12_2_h(inptr, outptr_interleave);
}
outptr_base += 12 * 8;
}
}
};
#define M_BLOCK 1
#define N_BLOCK 1
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 2
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 3
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 4
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 5
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 6
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 7
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 8
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 9
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 10
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 11
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 12
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#undef M_BLOCK
#define M_BLOCK 2
#define N_BLOCK 1
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 2
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 3
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 4
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 5
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 6
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 7
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 8
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 9
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 10
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 11
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#define N_BLOCK 12
#include "mk8_16x12_kern.inc"
#undef N_BLOCK
#undef M_BLOCK
} // namespace aarch64
} // namespace megdnn
#endif
\ No newline at end of file
dnn/src/aarch64/matrix_mul/fp16/mk8_16x12_kern.inc 0 → 100644
浏览文件 @ 8fe8edf4
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
#ifndef _STR
#define _STR(X) #X
#endif
#ifndef STR
#define STR(X) _STR(X)
#endif
template <>
void matmul_mk8_16x12::kern<M_BLOCK, N_BLOCK>(
const dt_float16* packedA, const dt_float16* packedB, int K,
dt_float16* out, int LDC, bool is_first_k) {
#define IF_M_GT(M, INSTRUC) ".if " STR(M_BLOCK) " > " #M "\n" INSTRUC ".endif\n"
#define IF_N_GT(N, INSTRUC) ".if " STR(N_BLOCK) " > " #N "\n" INSTRUC ".endif\n"
// clang-format off
#define IF_MN_GT(M, N, INSTRUC) \
".if " STR(M_BLOCK) " > " #M "\n" \
".if " STR(N_BLOCK) " > " #N "\n" \
INSTRUC \
".endif\n" \
".endif\n"
const dt_float16* a_ptr = packedA;
const dt_float16* b_ptr = packedB;
dt_float16* outptr0 = out;
dt_float16* outptr1 = out + LDC;
int oddK = (K & 1);
K = ((K + 1) / 2) - 1;
asm volatile(
"cmp %w[is_first_k], #1\n"
"beq 1f\n"
IF_M_GT(0, "mov x1, %[outptr0]\n")
IF_M_GT(1, "mov x2, %[outptr1]\n")
IF_MN_GT(0, 0, "ld1 {v8.8h}, [x1], #16\n")
IF_MN_GT(0, 1, "ld1 {v9.8h}, [x1], #16\n")
IF_MN_GT(0, 2, "ld1 {v10.8h}, [x1], #16\n")
IF_MN_GT(0, 3, "ld1 {v11.8h}, [x1], #16\n")
IF_MN_GT(0, 4, "ld1 {v12.8h}, [x1], #16\n")
IF_MN_GT(0, 5, "ld1 {v13.8h}, [x1], #16\n")
IF_MN_GT(0, 6, "ld1 {v14.8h}, [x1], #16\n")
IF_MN_GT(0, 7, "ld1 {v15.8h}, [x1], #16\n")
IF_MN_GT(0, 8, "ld1 {v16.8h}, [x1], #16\n")
IF_MN_GT(0, 9, "ld1 {v17.8h}, [x1], #16\n")
IF_MN_GT(0, 10, "ld1 {v18.8h}, [x1], #16\n")
IF_MN_GT(0, 11, "ld1 {v19.8h}, [x1], #16\n")
IF_MN_GT(1, 0, "ld1 {v20.8h}, [x2], #16\n")
IF_MN_GT(1, 1, "ld1 {v21.8h}, [x2], #16\n")
IF_MN_GT(1, 2, "ld1 {v22.8h}, [x2], #16\n")
IF_MN_GT(1, 3, "ld1 {v23.8h}, [x2], #16\n")
IF_MN_GT(1, 4, "ld1 {v24.8h}, [x2], #16\n")
IF_MN_GT(1, 5, "ld1 {v25.8h}, [x2], #16\n")
IF_MN_GT(1, 6, "ld1 {v26.8h}, [x2], #16\n")
IF_MN_GT(1, 7, "ld1 {v27.8h}, [x2], #16\n")
IF_MN_GT(1, 8, "ld1 {v28.8h}, [x2], #16\n")
IF_MN_GT(1, 9, "ld1 {v29.8h}, [x2], #16\n")
IF_MN_GT(1, 10, "ld1 {v30.8h}, [x2], #16\n")
IF_MN_GT(1, 11, "ld1 {v31.8h}, [x2], #16\n")
IF_M_GT(0, "ld1 {v0.8h}, [%[a_ptr]], #16\n")
IF_N_GT(0, "ld1 {v2.8h}, [%[b_ptr]], #16\n")
"b 2f\n"
"1:\n"
IF_MN_GT(0, 0, "eor v8.16b, v8.16b, v8.16b\n")
IF_MN_GT(0, 1, "eor v9.16b, v9.16b, v9.16b\n")
IF_MN_GT(0, 2, "eor v10.16b, v10.16b, v10.16b\n")
"prfm pstl1keep, [%[outptr0]]\n"
IF_MN_GT(0, 3, "eor v11.16b, v11.16b, v11.16b\n")
IF_MN_GT(0, 4, "eor v12.16b, v12.16b, v12.16b\n")
IF_MN_GT(0, 5, "eor v13.16b, v13.16b, v13.16b\n")
"prfm pstl1keep, [%[outptr1]]\n"
IF_MN_GT(0, 6, "eor v14.16b, v14.16b, v14.16b\n")
IF_MN_GT(0, 7, "eor v15.16b, v15.16b, v15.16b\n")
IF_MN_GT(0, 8, "eor v16.16b, v16.16b, v16.16b\n")
IF_N_GT(0, "ld1 {v2.8h}, [%[b_ptr]], #16\n")
IF_MN_GT(0, 9, "eor v17.16b, v17.16b, v17.16b\n")
IF_MN_GT(0, 10, "eor v18.16b, v18.16b, v18.16b\n")
IF_MN_GT(0, 11, "eor v19.16b, v19.16b, v19.16b\n")
IF_MN_GT(1, 0, "eor v20.16b, v20.16b, v20.16b\n")
IF_MN_GT(1, 1, "eor v21.16b, v21.16b, v21.16b\n")
IF_M_GT(0, "ld1 {v0.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(1, 2, "eor v22.16b, v22.16b, v22.16b\n")
IF_MN_GT(1, 3, "eor v23.16b, v23.16b, v23.16b\n")
IF_MN_GT(1, 4, "eor v24.16b, v24.16b, v24.16b\n")
IF_MN_GT(1, 5, "eor v25.16b, v25.16b, v25.16b\n")
IF_MN_GT(1, 6, "eor v26.16b, v26.16b, v26.16b\n")
IF_MN_GT(1, 7, "eor v27.16b, v27.16b, v27.16b\n")
IF_MN_GT(1, 8, "eor v28.16b, v28.16b, v28.16b\n")
IF_MN_GT(1, 9, "eor v29.16b, v29.16b, v29.16b\n")
IF_MN_GT(1, 10, "eor v30.16b, v30.16b, v30.16b\n")
IF_MN_GT(1, 11, "eor v31.16b, v31.16b, v31.16b\n")
"2:\n"
"cmp %w[K], #0\n"
"beq 4f\n"
"3:\n"
"ld1 {v3.8h}, [%[b_ptr]], #16\n"
IF_MN_GT(0, 0, "fmla v8.8h, v0.8h, v2.h[0]\n")
IF_MN_GT(0, 1, "fmla v9.8h, v0.8h, v2.h[1]\n")
IF_MN_GT(0, 2, "fmla v10.8h, v0.8h, v2.h[2]\n")
IF_MN_GT(0, 3, "fmla v11.8h, v0.8h, v2.h[3]\n")
IF_M_GT(1, "ld1 {v1.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 4, "fmla v12.8h, v0.8h, v2.h[4]\n")
IF_MN_GT(0, 5, "fmla v13.8h, v0.8h, v2.h[5]\n")
IF_MN_GT(0, 6, "fmla v14.8h, v0.8h, v2.h[6]\n")
IF_MN_GT(0, 7, "fmla v15.8h, v0.8h, v2.h[7]\n")
IF_M_GT(0, "ld1 {v5.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 8, "fmla v16.8h, v0.8h, v3.h[0]\n")
IF_MN_GT(0, 9, "fmla v17.8h, v0.8h, v3.h[1]\n")
IF_MN_GT(0, 10, "fmla v18.8h, v0.8h, v3.h[2]\n")
IF_MN_GT(0, 11, "fmla v19.8h, v0.8h, v3.h[3]\n")
IF_MN_GT(1, 0, "fmla v20.8h, v1.8h, v2.h[0]\n")
IF_MN_GT(1, 1, "fmla v21.8h, v1.8h, v2.h[1]\n")
IF_MN_GT(1, 2, "fmla v22.8h, v1.8h, v2.h[2]\n")
IF_MN_GT(1, 3, "fmla v23.8h, v1.8h, v2.h[3]\n")
IF_MN_GT(1, 4, "fmla v24.8h, v1.8h, v2.h[4]\n")
IF_MN_GT(1, 5, "fmla v25.8h, v1.8h, v2.h[5]\n")
"ld1 {v4.8h}, [%[b_ptr]], #16\n"
IF_MN_GT(1, 6, "fmla v26.8h, v1.8h, v2.h[6]\n")
IF_MN_GT(1, 7, "fmla v27.8h, v1.8h, v2.h[7]\n")
IF_MN_GT(1, 8, "fmla v28.8h, v1.8h, v3.h[0]\n")
IF_MN_GT(1, 9, "fmla v29.8h, v1.8h, v3.h[1]\n")
IF_MN_GT(1, 10, "fmla v30.8h, v1.8h, v3.h[2]\n")
IF_MN_GT(1, 11, "fmla v31.8h, v1.8h, v3.h[3]\n")
IF_M_GT(1, "ld1 {v6.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 0, "fmla v8.8h, v5.8h, v3.h[4]\n")
IF_MN_GT(0, 1, "fmla v9.8h, v5.8h, v3.h[5]\n")
IF_M_GT(0, "ld1 {v0.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 2, "fmla v10.8h, v5.8h, v3.h[6]\n")
IF_MN_GT(0, 3, "fmla v11.8h, v5.8h, v3.h[7]\n")
IF_MN_GT(0, 4, "fmla v12.8h, v5.8h, v4.h[0]\n")
IF_MN_GT(0, 5, "fmla v13.8h, v5.8h, v4.h[1]\n")
"ld1 {v2.8h}, [%[b_ptr]], #16\n"
IF_MN_GT(0, 6, "fmla v14.8h, v5.8h, v4.h[2]\n")
IF_MN_GT(0, 7, "fmla v15.8h, v5.8h, v4.h[3]\n")
IF_MN_GT(0, 8, "fmla v16.8h, v5.8h, v4.h[4]\n")
IF_MN_GT(0, 9, "fmla v17.8h, v5.8h, v4.h[5]\n")
IF_MN_GT(0, 10, "fmla v18.8h, v5.8h, v4.h[6]\n")
IF_MN_GT(0, 11, "fmla v19.8h, v5.8h, v4.h[7]\n")
IF_MN_GT(1, 0, "fmla v20.8h, v6.8h, v3.h[4]\n")
IF_MN_GT(1, 1, "fmla v21.8h, v6.8h, v3.h[5]\n")
IF_MN_GT(1, 2, "fmla v22.8h, v6.8h, v3.h[6]\n")
IF_MN_GT(1, 3, "fmla v23.8h, v6.8h, v3.h[7]\n")
IF_MN_GT(1, 4, "fmla v24.8h, v6.8h, v4.h[0]\n")
IF_MN_GT(1, 5, "fmla v25.8h, v6.8h, v4.h[1]\n")
"subs %w[K], %w[K], #1\n"
IF_MN_GT(1, 6, "fmla v26.8h, v6.8h, v4.h[2]\n")
IF_MN_GT(1, 7, "fmla v27.8h, v6.8h, v4.h[3]\n")
IF_MN_GT(1, 8, "fmla v28.8h, v6.8h, v4.h[4]\n")
IF_MN_GT(1, 9, "fmla v29.8h, v6.8h, v4.h[5]\n")
IF_MN_GT(1, 10, "fmla v30.8h, v6.8h, v4.h[6]\n")
IF_MN_GT(1, 11, "fmla v31.8h, v6.8h, v4.h[7]\n")
"bne 3b\n"
"4:\n"
"cmp %w[oddK], #1\n"
"beq 5f\n"
// even tail
"ld1 {v3.8h}, [%[b_ptr]], #16\n"
IF_MN_GT(0, 0, "fmla v8.8h, v0.8h, v2.h[0]\n")
IF_MN_GT(0, 1, "fmla v9.8h, v0.8h, v2.h[1]\n")
IF_MN_GT(0, 2, "fmla v10.8h, v0.8h, v2.h[2]\n")
IF_MN_GT(0, 3, "fmla v11.8h, v0.8h, v2.h[3]\n")
IF_M_GT(1, "ld1 {v1.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 4, "fmla v12.8h, v0.8h, v2.h[4]\n")
IF_MN_GT(0, 5, "fmla v13.8h, v0.8h, v2.h[5]\n")
IF_MN_GT(0, 6, "fmla v14.8h, v0.8h, v2.h[6]\n")
IF_MN_GT(0, 7, "fmla v15.8h, v0.8h, v2.h[7]\n")
IF_M_GT(0, "ld1 {v5.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 8, "fmla v16.8h, v0.8h, v3.h[0]\n")
IF_MN_GT(0, 9, "fmla v17.8h, v0.8h, v3.h[1]\n")
IF_MN_GT(0, 10, "fmla v18.8h, v0.8h, v3.h[2]\n")
IF_MN_GT(0, 11, "fmla v19.8h, v0.8h, v3.h[3]\n")
IF_MN_GT(1, 0, "fmla v20.8h, v1.8h, v2.h[0]\n")
IF_MN_GT(1, 1, "fmla v21.8h, v1.8h, v2.h[1]\n")
IF_MN_GT(1, 2, "fmla v22.8h, v1.8h, v2.h[2]\n")
IF_MN_GT(1, 3, "fmla v23.8h, v1.8h, v2.h[3]\n")
IF_MN_GT(1, 4, "fmla v24.8h, v1.8h, v2.h[4]\n")
IF_MN_GT(1, 5, "fmla v25.8h, v1.8h, v2.h[5]\n")
"ld1 {v4.8h}, [%[b_ptr]], #16\n"
IF_MN_GT(1, 6, "fmla v26.8h, v1.8h, v2.h[6]\n")
IF_MN_GT(1, 7, "fmla v27.8h, v1.8h, v2.h[7]\n")
IF_MN_GT(1, 8, "fmla v28.8h, v1.8h, v3.h[0]\n")
IF_MN_GT(1, 9, "fmla v29.8h, v1.8h, v3.h[1]\n")
IF_MN_GT(1, 10, "fmla v30.8h, v1.8h, v3.h[2]\n")
IF_MN_GT(1, 11, "fmla v31.8h, v1.8h, v3.h[3]\n")
IF_M_GT(1, "ld1 {v6.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 0, "fmla v8.8h, v5.8h, v3.h[4]\n")
IF_MN_GT(0, 1, "fmla v9.8h, v5.8h, v3.h[5]\n")
IF_MN_GT(0, 2, "fmla v10.8h, v5.8h, v3.h[6]\n")
IF_MN_GT(0, 3, "fmla v11.8h, v5.8h, v3.h[7]\n")
IF_MN_GT(0, 4, "fmla v12.8h, v5.8h, v4.h[0]\n")
IF_MN_GT(0, 5, "fmla v13.8h, v5.8h, v4.h[1]\n")
IF_MN_GT(0, 6, "fmla v14.8h, v5.8h, v4.h[2]\n")
IF_MN_GT(0, 7, "fmla v15.8h, v5.8h, v4.h[3]\n")
IF_MN_GT(0, 0, "st1 {v8.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 8, "fmla v16.8h, v5.8h, v4.h[4]\n")
IF_MN_GT(0, 1, "st1 {v9.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 9, "fmla v17.8h, v5.8h, v4.h[5]\n")
IF_MN_GT(0, 2, "st1 {v10.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 10, "fmla v18.8h, v5.8h, v4.h[6]\n")
IF_MN_GT(0, 3, "st1 {v11.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 11, "fmla v19.8h, v5.8h, v4.h[7]\n")
IF_MN_GT(0, 4, "st1 {v12.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 0, "fmla v20.8h, v6.8h, v3.h[4]\n")
IF_MN_GT(0, 5, "st1 {v13.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 1, "fmla v21.8h, v6.8h, v3.h[5]\n")
IF_MN_GT(0, 6, "st1 {v14.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 2, "fmla v22.8h, v6.8h, v3.h[6]\n")
IF_MN_GT(0, 7, "st1 {v15.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 3, "fmla v23.8h, v6.8h, v3.h[7]\n")
IF_MN_GT(0, 8, "st1 {v16.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 4, "fmla v24.8h, v6.8h, v4.h[0]\n")
IF_MN_GT(0, 9, "st1 {v17.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 5, "fmla v25.8h, v6.8h, v4.h[1]\n")
IF_MN_GT(0, 10, "st1 {v18.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 6, "fmla v26.8h, v6.8h, v4.h[2]\n")
IF_MN_GT(0, 11, "st1 {v19.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 7, "fmla v27.8h, v6.8h, v4.h[3]\n")
IF_MN_GT(1, 0, "st1 {v20.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 8, "fmla v28.8h, v6.8h, v4.h[4]\n")
IF_MN_GT(1, 1, "st1 {v21.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 9, "fmla v29.8h, v6.8h, v4.h[5]\n")
IF_MN_GT(1, 2, "st1 {v22.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 10, "fmla v30.8h, v6.8h, v4.h[6]\n")
IF_MN_GT(1, 3, "st1 {v23.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 11, "fmla v31.8h, v6.8h, v4.h[7]\n")
IF_MN_GT(1, 4, "st1 {v24.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 5, "st1 {v25.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 6, "st1 {v26.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 7, "st1 {v27.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 8, "st1 {v28.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 9, "st1 {v29.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 10, "st1 {v30.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 11, "st1 {v31.8h}, [%[outptr1]], #16\n")
"b 6f\n"
"5:\n"
// odd tail
"ld1 {v3.4h}, [%[b_ptr]], #8\n"
IF_MN_GT(0, 0, "fmla v8.8h, v0.8h, v2.h[0]\n")
IF_MN_GT(0, 1, "fmla v9.8h, v0.8h, v2.h[1]\n")
IF_MN_GT(0, 2, "fmla v10.8h, v0.8h, v2.h[2]\n")
IF_MN_GT(0, 3, "fmla v11.8h, v0.8h, v2.h[3]\n")
IF_MN_GT(0, 4, "fmla v12.8h, v0.8h, v2.h[4]\n")
IF_MN_GT(0, 5, "fmla v13.8h, v0.8h, v2.h[5]\n")
IF_M_GT(1, "ld1 {v1.8h}, [%[a_ptr]], #16\n")
IF_MN_GT(0, 6, "fmla v14.8h, v0.8h, v2.h[6]\n")
IF_MN_GT(0, 7, "fmla v15.8h, v0.8h, v2.h[7]\n")
IF_MN_GT(0, 0, "st1 {v8.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 8, "fmla v16.8h, v0.8h, v3.h[0]\n")
IF_MN_GT(0, 1, "st1 {v9.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 9, "fmla v17.8h, v0.8h, v3.h[1]\n")
IF_MN_GT(0, 2, "st1 {v10.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 10, "fmla v18.8h, v0.8h, v3.h[2]\n")
IF_MN_GT(0, 3, "st1 {v11.8h}, [%[outptr0]], #16\n")
IF_MN_GT(0, 11, "fmla v19.8h, v0.8h, v3.h[3]\n")
IF_MN_GT(0, 4, "st1 {v12.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 0, "fmla v20.8h, v1.8h, v2.h[0]\n")
IF_MN_GT(0, 5, "st1 {v13.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 1, "fmla v21.8h, v1.8h, v2.h[1]\n")
IF_MN_GT(0, 6, "st1 {v14.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 2, "fmla v22.8h, v1.8h, v2.h[2]\n")
IF_MN_GT(0, 7, "st1 {v15.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 3, "fmla v23.8h, v1.8h, v2.h[3]\n")
IF_MN_GT(0, 8, "st1 {v16.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 4, "fmla v24.8h, v1.8h, v2.h[4]\n")
IF_MN_GT(0, 9, "st1 {v17.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 5, "fmla v25.8h, v1.8h, v2.h[5]\n")
IF_MN_GT(0, 10, "st1 {v18.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 6, "fmla v26.8h, v1.8h, v2.h[6]\n")
IF_MN_GT(0, 11, "st1 {v19.8h}, [%[outptr0]], #16\n")
IF_MN_GT(1, 7, "fmla v27.8h, v1.8h, v2.h[7]\n")
IF_MN_GT(1, 0, "st1 {v20.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 8, "fmla v28.8h, v1.8h, v3.h[0]\n")
IF_MN_GT(1, 1, "st1 {v21.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 9, "fmla v29.8h, v1.8h, v3.h[1]\n")
IF_MN_GT(1, 2, "st1 {v22.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 10, "fmla v30.8h, v1.8h, v3.h[2]\n")
IF_MN_GT(1, 3, "st1 {v23.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 11, "fmla v31.8h, v1.8h, v3.h[3]\n")
IF_MN_GT(1, 4, "st1 {v24.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 5, "st1 {v25.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 6, "st1 {v26.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 7, "st1 {v27.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 8, "st1 {v28.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 9, "st1 {v29.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 10, "st1 {v30.8h}, [%[outptr1]], #16\n")
IF_MN_GT(1, 11, "st1 {v31.8h}, [%[outptr1]], #16\n")
"6:\n"
: [a_ptr] "+r"(a_ptr), [b_ptr] "+r"(b_ptr), [K] "+r"(K),
[is_first_k] "+r"(is_first_k), [oddK] "+r"(oddK),
[outptr0] "+r"(outptr0), [outptr1] "+r"(outptr1)
:
: "v0", "v1", "v2", "v3", "v4", "v5", "v6", "v8", "v9", "v10", "v11", "v12", "v13",
"v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23",
"v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31", "x1", "x2",
"cc", "memory");
#undef IF_MN_GT
#undef IF_N_GT
#undef IF_M_GT
}
#endif
\ No newline at end of file
dnn/src/aarch64/matrix_mul/fp16/strategy.h
浏览文件 @ 8fe8edf4
......@@ -9,6 +9,9 @@ namespace matmul {
MEGDNN_REG_GEMM_STRATEGY(
dt_float16, dt_float16, dt_float16, 8, 24, 1, false, true, hgemm_8x24);
MEGDNN_REG_GEMM_STRATEGY(
dt_float16, dt_float16, dt_float16, 16, 12, 1, false, false, hgemm_mk8_16x12);
MEGDNN_REG_GEMM_STRATEGY_NOPACK(
dt_float16, dt_float16, dt_float16, 8, 8, 1, false, true, gemm_nopack_f16_8x8);
......
dnn/src/aarch64/matrix_mul/fp16/strategy_mk8_16x12.cpp 0 → 100644
浏览文件 @ 8fe8edf4
#include "src/aarch64/matrix_mul/fp16/kernel_mk8_16x12.h"
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
using namespace megdnn;
using namespace aarch64;
using namespace aarch64::matmul;
typedef void (*kern_func)(
const dt_float16*, const dt_float16*, int, dt_float16*, int, bool);
static kern_func kern_func_table[2][12] = {
{matmul_mk8_16x12::kern<1, 1>, matmul_mk8_16x12::kern<1, 2>,
matmul_mk8_16x12::kern<1, 3>, matmul_mk8_16x12::kern<1, 4>,
matmul_mk8_16x12::kern<1, 5>, matmul_mk8_16x12::kern<1, 6>,
matmul_mk8_16x12::kern<1, 7>, matmul_mk8_16x12::kern<1, 8>,
matmul_mk8_16x12::kern<1, 9>, matmul_mk8_16x12::kern<1, 10>,
matmul_mk8_16x12::kern<1, 11>, matmul_mk8_16x12::kern<1, 12>},
{matmul_mk8_16x12::kern<2, 1>, matmul_mk8_16x12::kern<2, 2>,
matmul_mk8_16x12::kern<2, 3>, matmul_mk8_16x12::kern<2, 4>,
matmul_mk8_16x12::kern<2, 5>, matmul_mk8_16x12::kern<2, 6>,
matmul_mk8_16x12::kern<2, 7>, matmul_mk8_16x12::kern<2, 8>,
matmul_mk8_16x12::kern<2, 9>, matmul_mk8_16x12::kern<2, 10>,
matmul_mk8_16x12::kern<2, 11>, matmul_mk8_16x12::kern<2, 12>}};
MEGDNN_REG_GEMM_STRATEGY_IMPL(hgemm_mk8_16x12);
void hgemm_mk8_16x12::pack_A(
dt_float16* out, const dt_float16* in, int ldin, int y0, int ymax, int k0,
int kmax, bool transpose_A) const {
megdnn_assert(!transpose_A, "mk8 float16 matmul not support transpose A");
matmul_mk8_16x12::hgemm_16x12_pack_A(out, in, ldin, y0, ymax, k0, kmax);
}
void hgemm_mk8_16x12::pack_B(
dt_float16* out, const dt_float16* in, int ldin, int x0, int xmax, int k0,
int kmax, bool transpose_B) const {
megdnn_assert(!transpose_B, "mk8 float16 matmul not support transpose B");
matmul_mk8_16x12::hgemm_16x12_pack_B(out, in, ldin, x0, xmax, k0, kmax);
}
// Overview of register layout:
//
// A 12x2 cell of Rhs is stored in 16bit in q2-q4.
// A 2x16 cell of Lhs is stored in 16bit in q0-q1 and q5-q6
// A 12x16 block of accumulators is stored in 16bit in q8--q31.
//
// +----+----+
// | v0 | v1 |
// Rhs +----+----+
// | v5 | v6 |
// +----+----+
//
// | | |
//
// Lhs | | |
//
// +---------------+---------------+ - - - - +----+----+
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v8 | v20|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v9 | v21|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v10| v22|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v11| v23|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v12| v24|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v13| v25|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v14| v26|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v15| v27|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v16| v28|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v17| v29|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v18| v30|
// |v2[0-7] v3[0-3]|v3[4-7] v4[0-7]| | v19| v31|
// +---------------+---------------+ - - - - +----+----+
//
// Accumulator
void hgemm_mk8_16x12::kern(
const dt_float16* packedA, const dt_float16* packedB, size_t M, size_t N,
size_t K, dt_float16* C, size_t LDC, bool is_first_k, const dt_float16*,
dt_float16*) const {
megdnn_assert(
A_dtype.enumv() == B_dtype.enumv() && A_dtype.enumv() == C_dtype.enumv() &&
A_dtype.enumv() == DTypeEnum::Float16);
const size_t K16 = K * 16;
const size_t K8 = K * 8;
const size_t K12 = K * 12;
constexpr size_t PACK_C_SIZE = 8;
constexpr size_t A_BLOCK = 16;
constexpr size_t B_BLOCK = 12;
size_t m = 0;
for (; m < M; m += A_BLOCK) {
dt_float16* outptr = C + (m / PACK_C_SIZE * LDC);
const size_t m_func_idx = std::min<size_t>(M - m, A_BLOCK) / 8 - 1;
size_t n = 0;
const dt_float16* cur_packedB = packedB;
for (; n < N; n += B_BLOCK) {
const size_t n_func_idx = std::min<size_t>(N - n, B_BLOCK) - 1;
kern_func_table[m_func_idx][n_func_idx](
packedA, cur_packedB, K, outptr, LDC, is_first_k);
cur_packedB += K12;
outptr += B_BLOCK * PACK_C_SIZE;
}
packedA += (m_func_idx ? K16 : K8);
}
}
#endif
\ No newline at end of file
dnn/src/aarch64/matrix_mul/opr_impl.cpp
浏览文件 @ 8fe8edf4
......@@ -15,6 +15,7 @@ class MatrixMulImpl::AlgoPack : NonCopyableObj {
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
AlgoF16K8x24x1 f16_k8x24x1;
AlgoF16MK8_8x8 f16_mk8_8x8;
AlgoF16MK8_16x12x1 f16_mk8_16x12x1;
#endif
#if MGB_ENABLE_DOT
AlgoInt8x8x32K8x12x4DotProd int8x8x32_k8x12x4_dotprod;
......@@ -52,6 +53,7 @@ public:
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
m_all_algos.emplace_back(&f16_k8x24x1);
m_all_algos.emplace_back(&f16_mk8_8x8);
m_all_algos.emplace_back(&f16_mk8_16x12x1);
#endif
#if MGB_ENABLE_DOT
m_all_algos.emplace_back(&int8x8x32_k8x12x4_dotprod);
......
dnn/src/aarch64/matrix_mul/opr_impl.h
浏览文件 @ 8fe8edf4
......@@ -25,8 +25,9 @@ private:
class AlgoF32MK4_4x16; // Aarch64 F32 Format MK4 block 16x4
class AlgoF32Gemv; // Aarch64 F32 Gemv
#if __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
class AlgoF16K8x24x1; // Aarch64 F16 Kernel 8x24x1
class AlgoF16MK8_8x8; // Aarch64 F16 Format MK8 block 16x8
class AlgoF16K8x24x1; // Aarch64 F16 Kernel 8x24x1
class AlgoF16MK8_8x8; // Aarch64 F16 Format MK8 block 16x8
class AlgoF16MK8_16x12x1; // Aarch64 F16 Format MK8 block 16x12x1
#endif
#if MGB_ENABLE_DOT
......
dnn/src/fallback/matrix_mul/opr_impl.h
浏览文件 @ 8fe8edf4
......@@ -136,6 +136,7 @@ public:
AARCH64_F32_GEMV,
AARCH64_F16_K8X24X1,
AARCH64_F16_MK8_8X8,
AARCH64_F16_MK8_16X12X1,
AARCH64_INT8X8X32_K8X12X4_DOTPROD,
AARCH64_INT8X8X32_MK4_8X12X4_DOTPROD,
AARCH64_INT8X8X32_MK4_4X4X16,
......
dnn/test/aarch64/matrix_mul.cpp
浏览文件 @ 8fe8edf4
......@@ -74,6 +74,12 @@ TEST_F(AARCH64, MATRIX_MUL_F16_MK8) {
dtype::Float16{}, dtype::Float16{}, dtype::Float16{}, handle(),
"AARCH64_F16_MK8_8X8", param::MatrixMul::Format::MK8, 1);
}
TEST_F(AARCH64, MATRIX_MUL_F16_MK8_16x12x1) {
matrix_mul::check_matrix_mul(
dtype::Float16{}, dtype::Float16{}, dtype::Float16{}, handle(),
"AARCH64_F16_MK8_16X12X1", param::MatrixMul::Format::MK8, 1);
}
#endif
#if MGB_ENABLE_DOT
......@@ -790,6 +796,14 @@ TEST_F(AARCH64, BENCHMARK_MATRIX_MUL_F16_MK8) {
"AARCH64_F16_MK8_8X8", param::MatrixMul::Format::MK8, dtype::Float16{},
dtype::Float16{}, dtype::Float16{}, "AARCH64_F16_K8X24X1");
}
TEST_F(AARCH64, BENCHMARK_MATRIX_MUL_F16_MK8_16x12) {
auto args = matrix_mul::get_benchmark_matmul_mk_packed_args(8);
matrix_mul::benchmark_with_contrast(
handle(), args, dtype::Float16{}, dtype::Float16{}, dtype::Float16{},
"AARCH64_F16_MK8_16X12X1", param::MatrixMul::Format::MK8, dtype::Float16{},
dtype::Float16{}, dtype::Float16{}, "AARCH64_F16_K8X24X1");
}
#endif
TEST_F(AARCH64, BENCHMARK_MATRIX_MUL_INT16x16x32) {
......
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