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[ARM CPU] Fix fp16 const initialization on no-fp16 platform #23978

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Merged
fajin-corp merged 3 commits into from
Mar 14, 2025
Merged

[ARM CPU] Fix fp16 const initialization on no-fp16 platform #23978

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3b19264
fix const init
fajin-corp Mar 10, 2025
b8d9f64
resolve comments
fajin-corp Mar 11, 2025
f7329ea
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fajin-corp Mar 12, 2025
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151 changes: 73 additions & 78 deletions onnxruntime/core/mlas/lib/softmax_kernel_neon_fp16.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,6 @@ Module Name:
#include "softmax.h"
#include "softmax_kernel_neon.h"

// TODO(fajin): intra-loop parallelism
namespace softmax_neon {

template <typename T>
Expand All @@ -44,7 +43,7 @@ struct MlasExpConstants {
T MaximumExponent;
};

const MlasExpConstants<_mlas_fp16_> ExpConstantsFp16 = {
constexpr MlasExpConstants<_mlas_fp16_> ExpConstantsFp16 = {
0xcc55, // -25 * ln2
0x498c, // 16 * ln2
0xc95f, // -15.5 * ln2
Expand All @@ -64,67 +63,65 @@ const MlasExpConstants<_mlas_fp16_> ExpConstantsFp16 = {
0x3C00, // 15
};

const MlasExpConstants<float16x8_t> ExpConstantsFp16x8 = {
MlasBroadcastFloat16x8(ExpConstantsFp16.LowerRange),
MlasBroadcastFloat16x8(ExpConstantsFp16.UpperRange),
MlasBroadcastFloat16x8(ExpConstantsFp16.LowerRangeSumExp),
MlasBroadcastFloat16x8(ExpConstantsFp16.UpperRangeSumExp),
MlasBroadcastFloat16x8(ExpConstantsFp16.RoundingBias),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Reciprocal),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2High),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Mid),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Low),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_0),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_1),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_2),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_3),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_4),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_56),
MlasBroadcastFloat16x8(ExpConstantsFp16.MinimumExponent),
MlasBroadcastFloat16x8(ExpConstantsFp16.MaximumExponent),
};

const MlasExpConstants<float16x4_t> ExpConstantsFp16x4 = {
MlasBroadcastFloat16x4(ExpConstantsFp16.LowerRange),
MlasBroadcastFloat16x4(ExpConstantsFp16.UpperRange),
MlasBroadcastFloat16x4(ExpConstantsFp16.LowerRangeSumExp),
MlasBroadcastFloat16x4(ExpConstantsFp16.UpperRangeSumExp),
MlasBroadcastFloat16x4(ExpConstantsFp16.RoundingBias),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Reciprocal),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2High),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Mid),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Low),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_0),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_1),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_2),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_3),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_4),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_56),
MlasBroadcastFloat16x4(ExpConstantsFp16.MinimumExponent),
MlasBroadcastFloat16x4(ExpConstantsFp16.MaximumExponent),
};

template <typename T>
MLAS_FORCEINLINE
MlasExpConstants<T> Get_Exp_Constants();
const MlasExpConstants<T>& Get_Exp_Constants();

template <>
MLAS_FORCEINLINE
MlasExpConstants<float16x8_t> Get_Exp_Constants<float16x8_t>() {
const MlasExpConstants<float16x8_t>& Get_Exp_Constants<float16x8_t>() {
const static MlasExpConstants<float16x8_t> ExpConstantsFp16x8 = {
MlasBroadcastFloat16x8(ExpConstantsFp16.LowerRange),
MlasBroadcastFloat16x8(ExpConstantsFp16.UpperRange),
MlasBroadcastFloat16x8(ExpConstantsFp16.LowerRangeSumExp),
MlasBroadcastFloat16x8(ExpConstantsFp16.UpperRangeSumExp),
MlasBroadcastFloat16x8(ExpConstantsFp16.RoundingBias),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Reciprocal),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2High),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Mid),
MlasBroadcastFloat16x8(ExpConstantsFp16.Log2Low),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_0),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_1),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_2),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_3),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_4),
MlasBroadcastFloat16x8(ExpConstantsFp16.poly_56),
MlasBroadcastFloat16x8(ExpConstantsFp16.MinimumExponent),
MlasBroadcastFloat16x8(ExpConstantsFp16.MaximumExponent),
};
return ExpConstantsFp16x8;
}

template <>
MLAS_FORCEINLINE
MlasExpConstants<float16x4_t> Get_Exp_Constants<float16x4_t>() {
const MlasExpConstants<float16x4_t>& Get_Exp_Constants<float16x4_t>() {
const static MlasExpConstants<float16x4_t> ExpConstantsFp16x4 = {
MlasBroadcastFloat16x4(ExpConstantsFp16.LowerRange),
MlasBroadcastFloat16x4(ExpConstantsFp16.UpperRange),
MlasBroadcastFloat16x4(ExpConstantsFp16.LowerRangeSumExp),
MlasBroadcastFloat16x4(ExpConstantsFp16.UpperRangeSumExp),
MlasBroadcastFloat16x4(ExpConstantsFp16.RoundingBias),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Reciprocal),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2High),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Mid),
MlasBroadcastFloat16x4(ExpConstantsFp16.Log2Low),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_0),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_1),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_2),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_3),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_4),
MlasBroadcastFloat16x4(ExpConstantsFp16.poly_56),
MlasBroadcastFloat16x4(ExpConstantsFp16.MinimumExponent),
MlasBroadcastFloat16x4(ExpConstantsFp16.MaximumExponent),
};
return ExpConstantsFp16x4;
}

// Range reduction + polynomial approximation. Refer algorithm details to MlasComputeExpVector.
template<typename T>
MLAS_FORCEINLINE
T Exp_Vector_Fp16(T x) {
const auto constants = Get_Exp_Constants<T>();
const auto& constants = Get_Exp_Constants<T>();
auto clamped_x = MlasClampFloat16(x, constants.LowerRange, constants.UpperRange);

// integral
Expand Down Expand Up @@ -242,7 +239,7 @@ void Exp_Kernel_Fp16(const MLAS_FP16* Input, MLAS_FP16* Output, size_t N) {
template<typename T>
MLAS_FORCEINLINE
T SumExp_Vector_Fp16(T x, T negative_maximum) {
const auto constants = Get_Exp_Constants<T>();
const auto& constants = Get_Exp_Constants<T>();
auto clamped_x = MlasMaximumFloat16(MlasAddFloat16(x, negative_maximum), constants.LowerRangeSumExp);

// integral
Expand Down Expand Up @@ -419,7 +416,7 @@ struct MlasTanhConstants {
T beta_0;
};

const MlasTanhConstants<_mlas_fp16_> TanhConstantsFp16 = {
constexpr MlasTanhConstants<_mlas_fp16_> TanhConstantsFp16 = {
0xc308, // -3.51562
0x4308, // 3.51562
0x0001,
Expand All @@ -432,53 +429,51 @@ const MlasTanhConstants<_mlas_fp16_> TanhConstantsFp16 = {
0x1d03,
};

const MlasTanhConstants<float16x8_t> TanhConstantsFp16x8 = {
MlasBroadcastFloat16x8(TanhConstantsFp16.LowerRange),
MlasBroadcastFloat16x8(TanhConstantsFp16.UpperRange),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_7),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_5),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_3),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_1),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_6),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_4),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_2),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_0),
};

const MlasTanhConstants<float16x4_t> TanhConstantsFp16x4 = {
MlasBroadcastFloat16x4(TanhConstantsFp16.LowerRange),
MlasBroadcastFloat16x4(TanhConstantsFp16.UpperRange),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_7),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_5),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_3),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_1),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_6),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_4),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_2),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_0),
};

template <typename T>
MLAS_FORCEINLINE
MlasTanhConstants<T> Get_Tanh_Constants();
const MlasTanhConstants<T>& Get_Tanh_Constants();

template <>
MLAS_FORCEINLINE
MlasTanhConstants<float16x8_t> Get_Tanh_Constants<float16x8_t>() {
const MlasTanhConstants<float16x8_t>& Get_Tanh_Constants<float16x8_t>() {
const static MlasTanhConstants<float16x8_t> TanhConstantsFp16x8 = {
MlasBroadcastFloat16x8(TanhConstantsFp16.LowerRange),
MlasBroadcastFloat16x8(TanhConstantsFp16.UpperRange),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_7),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_5),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_3),
MlasBroadcastFloat16x8(TanhConstantsFp16.alpha_1),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_6),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_4),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_2),
MlasBroadcastFloat16x8(TanhConstantsFp16.beta_0),
};
return TanhConstantsFp16x8;
}

template <>
MLAS_FORCEINLINE
MlasTanhConstants<float16x4_t> Get_Tanh_Constants<float16x4_t>() {
const MlasTanhConstants<float16x4_t>& Get_Tanh_Constants<float16x4_t>() {
const static MlasTanhConstants<float16x4_t> TanhConstantsFp16x4 = {
MlasBroadcastFloat16x4(TanhConstantsFp16.LowerRange),
MlasBroadcastFloat16x4(TanhConstantsFp16.UpperRange),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_7),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_5),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_3),
MlasBroadcastFloat16x4(TanhConstantsFp16.alpha_1),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_6),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_4),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_2),
MlasBroadcastFloat16x4(TanhConstantsFp16.beta_0),
};
return TanhConstantsFp16x4;
}

// TODO(fajin): optimize polynomial coefficients
template <typename T>
MLAS_FORCEINLINE
T Tanh_Vector_Fp16(T x) {
const auto constants = Get_Tanh_Constants<T>();
const auto& constants = Get_Tanh_Constants<T>();
x = MlasClampFloat16(x, constants.LowerRange, constants.UpperRange);

T x_2 = MlasMultiplyFloat16(x, x);
Expand Down
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