提交 a9c18241 编写于 作者: T tensor-tang

refine jit vmul code supporting multiple of 2

上级 61fdc38e
...@@ -25,10 +25,10 @@ namespace gen { ...@@ -25,10 +25,10 @@ namespace gen {
using namespace platform::jit; // NOLINT using namespace platform::jit; // NOLINT
bool VMulJitCode::init(int d) { bool VMulJitCode::init(int d) {
// TODO(TJ): maybe one AVX is enough, AVX above would slow down freq // It's not necessary to use avx512 since it would slow down the frequency
// try more with avx2 or avx512 // and this kernel is not compute bound.
if (MayIUse(avx) || MayIUse(avx2)) { if (MayIUse(avx)) {
return d % AVX_FLOAT_BLOCK == 0; return d % 2 == 0;
} else { } else {
return false; return false;
} }
...@@ -36,12 +36,33 @@ bool VMulJitCode::init(int d) { ...@@ -36,12 +36,33 @@ bool VMulJitCode::init(int d) {
void VMulJitCode::generate() { void VMulJitCode::generate() {
// do not need push stack, and do not need save avx512reg if do not use avx512 // do not need push stack, and do not need save avx512reg if do not use avx512
int stride = sizeof(float) * AVX_FLOAT_BLOCK; int offset = 0;
for (int i = 0; i < num_ / AVX_FLOAT_BLOCK; ++i) { for (int i = 0; i < num_ / AVX_FLOAT_BLOCK; ++i) {
vmovups(ymm_src1, ptr[param1 + i * stride]); vmovups(ymm_src1, ptr[param1 + offset]);
vmovups(ymm_src2, ptr[param2 + i * stride]); vmovups(ymm_src2, ptr[param2 + offset]);
vmulps(ymm_dst, ymm_src1, ymm_src2); vmulps(ymm_dst, ymm_src1, ymm_src2);
vmovups(ptr[param3 + stride * i], ymm_dst); vmovups(ptr[param3 + offset], ymm_dst);
offset += sizeof(float) * AVX_FLOAT_BLOCK;
}
int rest = num_ % AVX_FLOAT_BLOCK;
if (rest >= 4) {
vmovups(xmm_src1, ptr[param1 + offset]);
vmovups(xmm_src2, ptr[param2 + offset]);
vmulps(xmm_dst, xmm_src1, xmm_src2);
vmovups(ptr[param3 + offset], xmm_dst);
offset += sizeof(float) * 4;
rest -= 4;
}
if (rest >= 2) {
mov(tmp, qword[param1 + offset]);
vmovq(xmm_src1, tmp);
mov(tmp, qword[param2 + offset]);
vmovq(xmm_src2, tmp);
vmulps(xmm_dst, xmm_src1, xmm_src2);
vmovq(tmp, xmm_dst);
mov(ptr[param3 + offset], tmp);
offset += sizeof(float) * 2;
rest -= 2;
} }
ret(); ret();
} }
......
...@@ -43,17 +43,15 @@ class VMulJitCode : public JitCode { ...@@ -43,17 +43,15 @@ class VMulJitCode : public JitCode {
reg64_t param1{abi_param1}; reg64_t param1{abi_param1};
reg64_t param2{abi_param2}; reg64_t param2{abi_param2};
reg64_t param3{abi_param3}; reg64_t param3{abi_param3};
reg64_t tmp = rax;
xmm_t xmm_src1 = xmm_t(0); xmm_t xmm_src1 = xmm_t(0);
ymm_t ymm_src1 = ymm_t(0);
zmm_t zmm_src1 = zmm_t(0);
xmm_t xmm_src2 = xmm_t(1); xmm_t xmm_src2 = xmm_t(1);
ymm_t ymm_src2 = ymm_t(1);
zmm_t zmm_src2 = zmm_t(1);
xmm_t xmm_dst = xmm_t(2); xmm_t xmm_dst = xmm_t(2);
ymm_t ymm_src1 = ymm_t(0);
ymm_t ymm_src2 = ymm_t(1);
ymm_t ymm_dst = ymm_t(2); ymm_t ymm_dst = ymm_t(2);
zmm_t zmm_dst = zmm_t(2);
}; };
} // namespace gen } // namespace gen
......
...@@ -578,7 +578,7 @@ void vmul_mkl(const int n, const float* x, const float* y, float* z) { ...@@ -578,7 +578,7 @@ void vmul_mkl(const int n, const float* x, const float* y, float* z) {
TEST(JitKernel, vmul) { TEST(JitKernel, vmul) {
namespace jit = paddle::operators::math::jitkernel; namespace jit = paddle::operators::math::jitkernel;
for (int d : {7, 8, 15, 16, 30, 256, 512, 1000, 1024}) { for (int d : {7, 8, 15, 16, 20, 30, 256, 512, 1000, 1024}) {
std::vector<float> x(d), y(d); std::vector<float> x(d), y(d);
std::vector<float> zref(d), ztgt(d); std::vector<float> zref(d), ztgt(d);
RandomVec<float>(d, x.data()); RandomVec<float>(d, x.data());
......
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