mirror of https://github.com/alibaba/MNN.git
397 lines
12 KiB
C++
397 lines
12 KiB
C++
#include <math.h>
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#include <algorithm>
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#include "compute/CommonOptFunction.h"
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#include "MNN_generated.h"
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryMax {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return std::max(x, y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryMin {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return std::min(x, y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryMul {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return x * y;
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryAdd {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return x + y;
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinarySub {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return x - y;
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryRealDiv {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return x / y;
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}
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};
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/**
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Ref from onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc :: Modulus
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*/
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryModInt {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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auto res = x % y;
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if ((res < 0 && y > 0) || (res > 0 && y < 0)) {
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res += y;
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}
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return (_ErrorCode)res;
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryMod {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return fmodf(x, y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryGreater {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x > y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryLess {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x < y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryGreaterEqual {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x >= y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryLessEqual {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x <= y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryEqual {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x == y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryFloorDiv {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return floor(static_cast<double>(x) / y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryFloorMod {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return x - floor(x / y) * y;
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinarySquaredDifference {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (x - y) * (x - y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryPow {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return pow(x, y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryAtan2 {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return atan2(x, y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryLogicalOr {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x || y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryLogicalXor {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x ^ y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryNotEqual {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)((x != y) ? 1 : 0);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryLeftShift {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)(x << y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryBitwiseAnd {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)(x & y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryRightShift {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)(x >> y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryBitwiseOr {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)(x | y);
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}
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};
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template <typename _Arg1, typename _Arg2, typename _ErrorCode>
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struct BinaryBitwiseXor {
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_ErrorCode operator()(const _Arg1& x, const _Arg2& y) const {
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return (_ErrorCode)(x ^ y);
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}
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};
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template<typename Func, typename V, int pack>
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void executeVec(void* outputRaw, const void* inputRaw0, const void* inputRaw1, int elementSize, int needBroadcastIndex) {
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Func compute;
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const int sizeDivUnit = elementSize / pack;
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const int remainCount = elementSize - sizeDivUnit * pack;
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auto src0 = (const float*)(inputRaw0);
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auto src1 = (const float*)(inputRaw1);
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auto dst = (float*)outputRaw;
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if (-1 == needBroadcastIndex) {
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if (sizeDivUnit > 0) {
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for (int i = 0; i < sizeDivUnit; ++i) {
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V a = V::load(src0);
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V b = V::load(src1);
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V::save(dst, compute(a, b));
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src0 += pack;
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src1 += pack;
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dst += pack;
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}
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}
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if (remainCount > 0) {
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float tempSrc0[pack];
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float tempSrc1[pack];
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float tempDst[pack];
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::memcpy(tempSrc0, src0, remainCount * sizeof(float));
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::memcpy(tempSrc1, src1, remainCount * sizeof(float));
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V a = V::load(tempSrc0);
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V b = V::load(tempSrc1);
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V::save(tempDst, compute(a, b));
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::memcpy(dst, tempDst, remainCount * sizeof(float));
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}
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} else if (0 == needBroadcastIndex) {
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const float srcValue0 = src0[0];
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V a = V(srcValue0);
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if (sizeDivUnit > 0) {
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for (int i = 0; i < sizeDivUnit; ++i) {
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const auto src1Ptr = src1;
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auto dstPtr = dst;
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V b = V::load(src1Ptr);
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V::save(dstPtr, compute(a, b));
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src1 += pack;
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dst += pack;
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}
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}
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if (remainCount > 0) {
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float tempSrc1[pack];
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float tempDst[pack];
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::memcpy(tempSrc1, src1, remainCount * sizeof(float));
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V b = V::load(tempSrc1);
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V::save(tempDst, compute(a, b));
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::memcpy(dst, tempDst, remainCount * sizeof(float));
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}
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} else {
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const float srcValue1 = src1[0];
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V b = V(srcValue1);
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if (sizeDivUnit > 0) {
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for (int i = 0; i < sizeDivUnit; ++i) {
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const auto src0Ptr = src0;
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auto dstPtr = dst;
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V a = V::load(src0Ptr);
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V::save(dstPtr, compute(a, b));
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src0 += pack;
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dst += pack;
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}
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}
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if (remainCount > 0) {
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float tempSrc0[pack];
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float tempDst[pack];
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::memcpy(tempSrc0, src0, remainCount * sizeof(float));
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V a = V::load(tempSrc0);
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V::save(tempDst, compute(a, b));
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::memcpy(dst, tempDst, remainCount * sizeof(float));
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}
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}
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}
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template<typename Vec>
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struct VecBinaryAdd {
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Vec operator()(Vec& x, Vec& y) const {
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return x + y;
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}
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};
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template<typename Vec>
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struct VecBinarySub {
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Vec operator()(Vec& x, Vec& y) const {
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return x - y;
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}
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};
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template<typename Vec>
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struct VecBinaryMul {
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Vec operator()(Vec& x, Vec& y) const {
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return x * y;
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}
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};
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template<typename Vec>
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struct VecBinaryMin {
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Vec operator()(Vec& x, Vec& y) const {
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return Vec::min(x, y);
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}
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};
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template<typename Vec>
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struct VecBinaryMax {
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Vec operator()(Vec& x, Vec& y) const {
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return Vec::max(x, y);
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}
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};
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template<typename Vec>
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struct VecBinarySqd {
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Vec operator()(Vec& x, Vec& y) const {
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return (x-y)*(x-y);
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}
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};
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namespace MNN {
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template<typename Tin, typename Tout, typename Func>
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void execute(void* outputRaw, const void* inputRaw0, const void* inputRaw1, int elementSize, int broadcastIndex) {
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Func f;
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const int input0DataCount = elementSize;
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const int input1DataCount = elementSize;
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const Tin* input0Data = (const Tin*)inputRaw0;
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const Tin* input1Data = (const Tin*)inputRaw1;
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Tout* outputData = (Tout*)outputRaw;
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if (broadcastIndex == 0) { // data count == 1, not only mean scalar input, maybe of shape (1, 1, 1, ...,1)
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for (int i = 0; i < input1DataCount; i++) {
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outputData[i] = (Tout)(f(input0Data[0], input1Data[i]));
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}
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} else if (broadcastIndex == 1) {
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for (int i = 0; i < input0DataCount; i++) {
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outputData[i] = (Tout)(f(input0Data[i], input1Data[0]));
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}
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} else { // both input contains more than one element，which means no scalar input
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for (int i = 0; i < input0DataCount; i++) {
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outputData[i] = (Tout)(f(input0Data[i], input1Data[i]));
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}
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}
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}
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template<typename Tin, typename Tout, typename Func>
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void executeInt8 (int8_t* outputRaw, const int8_t* inputRaw0, const int8_t* inputRaw1, ssize_t* inputScalesInt32, float* inputScalesFp32, const QuanPrePostParameters* params, size_t elementSize, size_t needBroadcast) {
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Func f;
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int size = static_cast<int>(elementSize);
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#ifdef MNN_USE_NEON
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size *= 4;
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#endif
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float inp0 = 0, inp1 = 0, output = 0;
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#ifdef MNN_USE_SSE
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const int offset = 128;
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const uint8_t* inputData0 = (uint8_t*)inputRaw0;
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const uint8_t* inputData1 = (uint8_t*)inputRaw1;
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uint8_t* outputData = (uint8_t*)outputRaw;
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#else
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const int offset = 0;
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const int8_t* inputData0 = (int8_t*)inputRaw0;
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const int8_t* inputData1 = (int8_t*)inputRaw1;
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int8_t* outputData = (int8_t*)outputRaw;
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#endif
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const int maxValue = static_cast<int32_t>(params->maxValue) + offset;
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const int minValue = static_cast<int32_t>(params->minValue) + offset;
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for (int i = 0; i < size; ++i) {
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if (needBroadcast == 0) {
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inp0 = (inputData0[0]- offset - params->inputZeroPoint[0]) * inputScalesFp32[0];
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inp1 = (inputData1[i]- offset - params->inputZeroPoint[1]) * inputScalesFp32[1];
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output = f(inp0, inp1);
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} else if (needBroadcast == 1) {
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inp0 = (inputData0[i] - offset - params->inputZeroPoint[0]) * inputScalesFp32[0];
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inp1 = (inputData1[0] - offset - params->inputZeroPoint[1]) * inputScalesFp32[1];
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output = f(inp0, inp1);
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} else {
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inp0 = (inputData0[i] - offset - params->inputZeroPoint[0]) * inputScalesFp32[0];
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inp1 = (inputData1[i] - offset - params->inputZeroPoint[1]) * inputScalesFp32[1];
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output = f(inp0, inp1);
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}
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int value = (int)roundf(output * inputScalesFp32[2]) + offset + static_cast<int32_t>(params->outputZeroPoint[0]);
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if (value > maxValue) {
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value = maxValue;
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}
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if (value < minValue) {
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value = minValue;
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}
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outputData[i] = value;
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}
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}
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template<typename V, int pack>
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MNNBinaryExecute selectVector(int type) {
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switch (type) {
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case BinaryOpOperation_ADD:
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return executeVec<VecBinaryAdd<V>, V, pack>;
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case BinaryOpOperation_SUB:
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return executeVec<VecBinarySub<V>, V, pack>;
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case BinaryOpOperation_MUL:
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return executeVec<VecBinaryMul<V>, V, pack>;
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case BinaryOpOperation_MINIMUM:
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return executeVec<VecBinaryMin<V>, V, pack>;
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case BinaryOpOperation_MAXIMUM:
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return executeVec<VecBinaryMax<V>, V, pack>;
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case BinaryOpOperation_SquaredDifference:
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return executeVec<VecBinarySqd<V>, V, pack>;
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}
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return nullptr;
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}
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};
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