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test_linear_mk.cpp
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test_linear_mk.cpp
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#include "jit.hpp"
#include <vector>
#if !defined(XBYAK64_GCC)
#error NOT SUPPORTED
#endif
/*
C = A @ B
B: 1x2 tiles
A : 2x1 tiles C: 2x2 tiles
A : [32, K]
B : [K, 32] repacked
C : [32, 32]
*/
class Linear32x32_AMX : public jit_generator {
public:
int m_K;
TileConfig m_tile_cfg;
Linear32x32_AMX(int K) : m_K(K) {
create_kernel("Linear32x32_AMX");
m_tile_cfg.reset(1, 0,
{
{16, 64}, // C:0
{16, 64}, // C:1
{16, 64}, // C:2
{16, 64}, // C:3
{16, 64}, // A0:4
{16, 64}, // A1:5
{16, 64}, // B0:6
{16, 64}, // B1:7
});
}
const TileConfig& tile_config() { return m_tile_cfg; }
// to save push/pop: do not use `abi_save_gpr_regs`
Xbyak::Reg64 reg_A_addr = abi_param1;
Xbyak::Reg64 reg_A_stride = abi_param2;
Xbyak::Reg64 reg_B_addr = abi_param3;
Xbyak::Reg64 reg_C_addr = abi_param4;
Xbyak::Reg64 reg_C_stride = abi_param5;
Xbyak::Reg64 reg_B_stride = r10;
Xbyak::Reg64 reg_A1_addr = r11;
Xbyak::Reg64 reg_ktiles = r9;
Xbyak::Tmm tmmC00 = tmm0;
Xbyak::Tmm tmmC10 = tmm1;
Xbyak::Tmm tmmC01 = tmm2;
Xbyak::Tmm tmmC11 = tmm3;
Xbyak::Tmm tmmA0 = tmm4;
Xbyak::Tmm tmmA1 = tmm5;
Xbyak::Tmm tmmB0 = tmm6;
Xbyak::Tmm tmmB1 = tmm7;
void generate() {
/*
B: 1x2 tiles
A : 2x1 tiles C: 2x2 tiles
*/
Xbyak::Label loop_over_ktiles;
lea(reg_A1_addr, ptr[reg_A_addr + reg_A_stride * 8]);
lea(reg_A1_addr, ptr[reg_A1_addr + reg_A_stride * 8]);
auto Ktiles = m_K / 32;
assert(m_K % 32 == 0);
mov(reg_B_stride, 64);
tilezero(tmmC00);
tilezero(tmmC01);
tilezero(tmmC10);
tilezero(tmmC11);
mov(reg_ktiles, Ktiles);
auto const_A_steps = 64;
bool is_matrix_A_blocked = std::getenv("ABLK") != nullptr;
if (is_matrix_A_blocked) {
// if matrix is blocked in 16x32, ops/cycle 630=>700
mov(reg_A_stride, 64);
const_A_steps = 1024;
}
bool do_sw_prefetch = std::getenv("SWPF") != nullptr;
align(64, false);
L(loop_over_ktiles);
// for (int k = 0; k < Ktiles; k++) {
tileloadd(tmmA0, ptr[reg_A_addr + reg_A_stride]);
if (is_matrix_A_blocked && do_sw_prefetch) {
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_A_addr + 4096 + i]);
}
tileloadd(tmmB0, ptr[reg_B_addr + reg_B_stride]);
if (do_sw_prefetch) {
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
}
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
tdpbf16ps(tmmC00, tmmA0, tmmB0);
tileloadd(tmmA1, ptr[reg_A1_addr + reg_A_stride]);
if (is_matrix_A_blocked && do_sw_prefetch) {
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_A1_addr + 4096 + i]);
}
tdpbf16ps(tmmC10, tmmA1, tmmB0);
tileloadd(tmmB1, ptr[reg_B_addr + reg_B_stride]);
if (do_sw_prefetch) {
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
}
tdpbf16ps(tmmC01, tmmA0, tmmB1);
tdpbf16ps(tmmC11, tmmA1, tmmB1);
//}
lea(reg_A_addr, ptr[reg_A_addr + const_A_steps]);
lea(reg_A1_addr, ptr[reg_A1_addr + const_A_steps]);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
dec(reg_ktiles);
jnz(loop_over_ktiles, T_NEAR);
tilestored(ptr[reg_C_addr + reg_C_stride], tmmC00);
tilestored(ptr[reg_C_addr + reg_C_stride + 64], tmmC01);
lea(reg_C_addr, ptr[reg_C_addr + reg_C_stride * 8]);
lea(reg_C_addr, ptr[reg_C_addr + reg_C_stride * 8]);
tilestored(ptr[reg_C_addr + reg_C_stride], tmmC10);
tilestored(ptr[reg_C_addr + reg_C_stride + 64], tmmC11);
ret();
}
};
class Linear16x96_AMX : public jit_generator {
public:
int m_K;
TileConfig m_tile_cfg;
Linear16x96_AMX(int K) : m_K(K) {
create_kernel("Linear16x96_AMX");
m_tile_cfg.reset(1, 0,
{
{16, 64}, // C:0
{16, 64}, // C:1
{16, 64}, // C:2
{16, 64}, // C:3
{16, 64}, // C:4
{16, 64}, // C:5
{16, 64}, // A:6
{16, 64}, // B:7
});
}
const TileConfig& tile_config() { return m_tile_cfg; }
// to save push/pop: do not use `abi_save_gpr_regs`
Xbyak::Reg64 reg_A_addr = abi_param1;
Xbyak::Reg64 reg_A_stride = abi_param2;
Xbyak::Reg64 reg_B_addr = abi_param3;
Xbyak::Reg64 reg_C_addr = abi_param4;
Xbyak::Reg64 reg_C_stride = abi_param5;
Xbyak::Reg64 reg_B_stride = r10;
Xbyak::Reg64 reg_ktiles = r9;
Xbyak::Tmm tmmC0 = tmm0;
Xbyak::Tmm tmmC1 = tmm1;
Xbyak::Tmm tmmC2 = tmm2;
Xbyak::Tmm tmmC3 = tmm3;
Xbyak::Tmm tmmC4 = tmm4;
Xbyak::Tmm tmmC5 = tmm5;
Xbyak::Tmm tmmA = tmm6;
Xbyak::Tmm tmmB = tmm7;
void generate() {
/*
B: 1x2 tiles
A : 2x1 tiles C: 2x2 tiles
*/
Xbyak::Label loop_over_ktiles;
auto Ktiles = m_K / 32;
assert(m_K % 32 == 0);
mov(reg_B_stride, 64);
tilezero(tmmC0);
tilezero(tmmC1);
tilezero(tmmC2);
tilezero(tmmC3);
tilezero(tmmC4);
tilezero(tmmC5);
mov(reg_ktiles, Ktiles);
align(64, false);
L(loop_over_ktiles);
// for (int k = 0; k < Ktiles; k++) {
tileloadd(tmmA, ptr[reg_A_addr + reg_A_stride]);
// reuse tmmA
for (int c = 0; c < 6; c++) {
tileloadd(tmmB, ptr[reg_B_addr + reg_B_stride + c * 1024]);
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i + c * 1024]);
tdpbf16ps(Xbyak::Tmm(tmmC0.getIdx() + c), tmmA, tmmB);
}
//}
lea(reg_A_addr, ptr[reg_A_addr + 64]);
lea(reg_B_addr, ptr[reg_B_addr + 6 * 1024]);
dec(reg_ktiles);
jnz(loop_over_ktiles, T_NEAR);
for (int c = 0; c < 6; c++)
tilestored(ptr[reg_C_addr + reg_C_stride + 64 * c], Xbyak::Tmm(tmmC0.getIdx() + c));
ret();
}
};
class Linear16x64_AMX : public jit_generator {
public:
int m_K;
TileConfig m_tile_cfg;
Linear16x64_AMX(int K) : m_K(K) {
create_kernel("Linear16x64_AMX");
m_tile_cfg.reset(1, 0,
{
{16, 64}, // C:0
{16, 64}, // C:1
{16, 64}, // C:2
{16, 64}, // C:3
{16, 64}, // C:4
{16, 64}, // C:5
{16, 64}, // A:6
{16, 64}, // B:7
});
}
const TileConfig& tile_config() { return m_tile_cfg; }
// to save push/pop: do not use `abi_save_gpr_regs`
Xbyak::Reg64 reg_A_addr = abi_param1;
Xbyak::Reg64 reg_A_stride = abi_param2;
Xbyak::Reg64 reg_B_addr = abi_param3;
Xbyak::Reg64 reg_C_addr = abi_param4;
Xbyak::Reg64 reg_C_stride = abi_param5;
Xbyak::Reg64 reg_B_stride = r10;
Xbyak::Reg64 reg_ktiles = r9;
Xbyak::Tmm tmmC0 = tmm0;
Xbyak::Tmm tmmC1 = tmm1;
Xbyak::Tmm tmmC2 = tmm2;
Xbyak::Tmm tmmC3 = tmm3;
Xbyak::Tmm tmmA = tmm4;
Xbyak::Tmm tmmB0 = tmm5;
Xbyak::Tmm tmmB1 = tmm6;
void generate() {
/*
B: 1x2 tiles
A : 2x1 tiles C: 2x2 tiles
*/
Xbyak::Label loop_over_ktiles;
auto Ktiles = m_K / 32;
assert(m_K % 32 == 0);
mov(reg_B_stride, 64);
tilezero(tmmC0);
tilezero(tmmC1);
tilezero(tmmC2);
tilezero(tmmC3);
mov(reg_ktiles, Ktiles);
tileloadd(tmmB0, ptr[reg_B_addr + reg_B_stride]);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
align(64, false);
L(loop_over_ktiles);
// for (int k = 0; k < Ktiles; k++) {
tileloadd(tmmA, ptr[reg_A_addr + reg_A_stride]);
// reuse tmmA
tileloadd(tmmB1, ptr[reg_B_addr + reg_B_stride]);
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
tdpbf16ps(tmmC0, tmmA, tmmB0);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
tileloadd(tmmB0, ptr[reg_B_addr + reg_B_stride]);
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
tdpbf16ps(tmmC1, tmmA, tmmB1);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
tileloadd(tmmB1, ptr[reg_B_addr + reg_B_stride]);
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
tdpbf16ps(tmmC2, tmmA, tmmB0);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
tileloadd(tmmB0, ptr[reg_B_addr + reg_B_stride]);
for (int i = 0; i < 1024; i += 64)
prefetcht0(ptr[reg_B_addr + 4096 + i]);
tdpbf16ps(tmmC3, tmmA, tmmB1);
lea(reg_B_addr, ptr[reg_B_addr + 1024]);
//}
lea(reg_A_addr, ptr[reg_A_addr + 64]);
dec(reg_ktiles);
jnz(loop_over_ktiles, T_NEAR);
for (int c = 0; c < 4; c++)
tilestored(ptr[reg_C_addr + reg_C_stride + 64 * c], Xbyak::Tmm(tmmC0.getIdx() + c));
ret();
}
};
#include "kernels_amx.hpp"
// #include "kernels_avx512.hpp"
#include "tensor2D.hpp"
#include "timeit.hpp"
#ifdef _WIN32
#include <intrin.h>
#else
#include <x86intrin.h>
#endif
#include <stdlib.h>
#include <omp.h>
timeit timer({
{PERF_TYPE_HARDWARE, PERF_COUNT_HW_CPU_CYCLES, "HW_CYCLES"},
//{PERF_TYPE_RAW, 0x3c, "CPU_CLK_UNHALTED.THREAD"},
//{PERF_TYPE_RAW, 0x81d0, "MEM_LOAD_RETIRED.ALL_LOADS"},
//{PERF_TYPE_HW_CACHE, 0x10002, "LLC_load_misses"},
//{PERF_TYPE_HW_CACHE, 0x2, "LLC_loads"},
//{PERF_TYPE_RAW, 0x02b1, "UOPS_EXECUTED.CORE"},
});
template <typename LinearAMX>
int amx_jit(const int M, const int N, const int K, int times = -1000) {
tensor2D<ov::bfloat16> A(M, K,
true); // ensure stride of A matrix is multiple of
// cache line, which is vital to performance.
tensor2D<ov::bfloat16> B(K, N, true);
auto Bt = B.Tr();
tensor2D<ov::bfloat16> BPacked(K * N, 1, true);
tensor2D<float> C0(M, N, true); // reference result
tensor2D<float> C1(M, N, true); // actual result
LinearAMX mm_jit(K);
TileConfigScope tcfg(mm_jit.tile_config());
for (int k = 0, i = 0; k < K; k += 32) {
for (int n = 0; n < N; n += 16) {
amx_kernel::functional::transpose_epi32_16x16(&BPacked[i * 16 * 32], &Bt(n, k), Bt.stride);
i++;
}
}
C0 = 0;
matmul(A, B, C0);
std::string acc;
std::string acc_color;
mm_jit(&A[0], A.stride, &BPacked[0], &C1[0], C1.stride);
if (C0 == C1) {
acc = "[PASS]";
} else {
if (std::getenv("SHOW_ERR")) {
std::cout << "============= A ================ " << std::endl;
std::cout << A << std::endl;
std::cout << "============= B ================ " << std::endl;
std::cout << B << std::endl;
logger() << C0 << std::endl;
logger() << C1 << std::endl;
}
acc = "[FAIL]";
acc_color = "1;31";
}
timer.tag(__func__, "(M=", M, ",N=", N, ",K=", K, ")", acc)
.color(acc_color)(
times, [&]() { mm_jit(&A[0], A.stride, &BPacked[0], &C1[0], C1.stride); },
M * N * K * 2 // OPS per call
);
return 0;
}
int amx_mm(const int M, const int N, int K, int times = -1000) {
tensor2D<ov::bfloat16> A(M, K,
true); // ensure stride of A matrix is multiple of
// cache line, which is vital to performance.
tensor2D<ov::bfloat16> B(K, N, true);
auto Bt = B.Tr();
std::vector<ov::bfloat16> BPacked(K * N, 0);
tensor2D<float> C0(M, N, true); // reference result
tensor2D<float> C1(M, N, true); // actual result
amx_kernel::Matmul<ov::bfloat16, ov::bfloat16> mm32x32(true, true);
amx_kernel::PP::BiasGeluStore<float, amx_kernel::PP::Steps::NONE> pp(C1);
std::string acc;
std::string acc_color;
C0 = 0;
matmul(A, B, C0);
mm32x32(A, Bt, 0, N, pp);
if (C0 == C1) {
acc = "[PASS]";
} else {
acc_color = "1;31";
acc = "[FAIL]";
}
timer.tag(__func__, " (M=", M, ",N=", N, ",K=", K, ")", acc)
.color(acc_color)(
times, [&]() { mm32x32(A, Bt, 0, N, pp); },
M * N * K * 2 // OPS per call
);
return 0;
}
class InstProfiler : public jit_generator {
public:
InstProfiler() { create_kernel("InstProfiler"); }
TileConfig m_tile_cfg;
const TileConfig& tile_config() { return m_tile_cfg; }
Xbyak::Reg64 reg_addrA = abi_param1;
Xbyak::Reg64 reg_strideA = abi_param2;
Xbyak::Reg64 reg_stepA = abi_param3;
Xbyak::Reg64 reg_addrB = abi_param4;
Xbyak::Reg64 reg_cnt = abi_param5;
Xbyak::Reg64 reg_strideB = r10;
void generate() {
m_tile_cfg.reset(1, 0,
{
{16, 64}, // C:0
{16, 64}, // C:1
{16, 64}, // C:2
{16, 64}, // C:3
{16, 64}, // A0:4
{16, 64}, // A1:5
{16, 64}, // B0:6
{16, 64}, // B1:7
});
Xbyak::Label loop;
mov(reg_strideB, 64);
align(64, false);
L(loop);
tileloadd(tmm0, ptr[reg_addrA + reg_strideA]);
lea(reg_addrA, ptr[reg_addrA + reg_stepA]);
tileloadd(tmm1, ptr[reg_addrB + reg_strideB]);
lea(reg_addrB, ptr[reg_addrB + 1024]);
tileloadd(tmm2, ptr[reg_addrA + reg_strideA]);
lea(reg_addrA, ptr[reg_addrA + reg_stepA]);
tileloadd(tmm3, ptr[reg_addrB + reg_strideB]);
lea(reg_addrB, ptr[reg_addrB + 1024]);
tileloadd(tmm4, ptr[reg_addrA + reg_strideA]);
lea(reg_addrA, ptr[reg_addrA + reg_stepA]);
tileloadd(tmm5, ptr[reg_addrB + reg_strideB]);
lea(reg_addrB, ptr[reg_addrB + 1024]);
tileloadd(tmm6, ptr[reg_addrA + reg_strideA]);
lea(reg_addrA, ptr[reg_addrA + reg_stepA]);
tileloadd(tmm7, ptr[reg_addrB + reg_strideB]);
lea(reg_addrB, ptr[reg_addrB + 1024]);
dec(reg_cnt);
jnz(loop);
ret();
}
};
void profile_tileload() {
const int K = 32 * 8 * 20;
tensor2D<ov::bfloat16> A(16, K, true);
tensor2D<ov::bfloat16> B(K, 16, true);
InstProfiler p;
TileConfigScope tcfg(p.tile_config());
auto count = K / (32 * 8);
timer.tag(__func__, "A(K=", K, ")")(100, [&]() { p(&A[0], A.stride, 64, &B[0], count); });
std::cout << "\t" << timer.perf_counters["HW_CYCLES"] / count / 8 << " cycles/tileLoad\n";
timer.tag(__func__, "B(K=", K, ")")(100, [&]() { p(&A[0], 64, 1024, &B[0], count); });
std::cout << "\t" << timer.perf_counters["HW_CYCLES"] / count / 8 << " cycles/tileLoad\n";
}
int main(int argc, const char* argv[]) {
srand(0);
bool initAMX = initXTILE();
timer.set_app(argv[0]);
_MM_SET_FLUSH_ZERO_MODE(_MM_FLUSH_ZERO_ON);
std::cout << ANSIcolor("31") << "omp_get_num_threads() = " << omp_get_num_threads() << std::endl << ANSIcolor();
std::cout << "===============================Strided load is slightly slower========================\n";
profile_tileload();
profile_tileload();
profile_tileload();
std::cout << "===============================BF16========================\n";
amx_mm(32, 32, 128);
amx_jit<Linear32x32_AMX>(32, 32, 128);
amx_mm(32, 32, 128);
amx_jit<Linear32x32_AMX>(32, 32, 128);
std::cout << "===============================32x32 (L2)========================\n";
for (int i = 0; i < 2; i++) {
amx_mm(32, 32, 4096);
amx_jit<Linear32x32_AMX>(32, 32, 4096);
}
std::cout << "===============================32x32 (LLC)========================\n";
for (int i = 0; i < 2; i++) {
amx_mm(32, 32, 4096 * 16);
amx_jit<Linear32x32_AMX>(32, 32, 4096 * 16);
}
std::cout << "===============================16x96========================\n";
for (int i = 0; i < 2; i++) {
amx_mm(16, 96, 4096);
amx_jit<Linear16x96_AMX>(16, 96, 4096);
}
std::cout << "===============================16x64========================\n";
for (int i = 0; i < 2; i++) {
amx_mm(16, 64, 4096);
amx_jit<Linear16x64_AMX>(16, 64, 4096);
}
}