MNN/source/backend/arm82/Arm82Binary.cpp

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//
// Arm82Binary.cpp
// MNN
//
// Created by MNN on 2021/01/05.
// Copyright © 2021, Alibaba Group Holding Limited
//
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#if defined(__ANDROID__) || defined(__aarch64__)
#include <algorithm>
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#include "backend/arm82/Arm82Binary.hpp"
#include "backend/arm82/Arm82Backend.hpp"
#include "backend/cpu/BinaryUtils.hpp"
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#include "core/Macro.h"
#include <arm_neon.h>
namespace MNN {
template<typename Func>
void Arm82BinaryWrap(FLOAT16 *dst, const FLOAT16 *src0, const FLOAT16 *src1, const int elementSize, const int needBroadcastIndex) {
Func compute;
const int sizeDivUnit = elementSize / 4;
const int remainCount = elementSize - sizeDivUnit * 4;
float A[4];
float B[4];
float C[4];
if (-1 == needBroadcastIndex) {
if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src0Ptr = src0;
const auto src1Ptr = src1;
auto dstPtr = dst;
vst1q_f32(A, vcvt_f32_f16(vld1_f16(src0Ptr)));
vst1q_f32(B, vcvt_f32_f16(vld1_f16(src1Ptr)));
for (int v = 0; v < 4; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(dstPtr, vcvt_f16_f32(vld1q_f32(C)));
src0 += 4;
src1 += 4;
dst += 4;
}
}
if (remainCount > 0) {
FLOAT16 tempSrc0[4];
FLOAT16 tempSrc1[4];
FLOAT16 tempDst[4];
::memcpy(tempSrc0, src0, remainCount * sizeof(FLOAT16));
::memcpy(tempSrc1, src1, remainCount * sizeof(FLOAT16));
vst1q_f32(A, vcvt_f32_f16(vld1_f16(tempSrc0)));
vst1q_f32(B, vcvt_f32_f16(vld1_f16(tempSrc1)));
for (int v = 0; v < remainCount; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(tempDst, vcvt_f16_f32(vld1q_f32(C)));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
}
} else if (0 == needBroadcastIndex) {
const FLOAT16 srcValue0 = src0[0];
float16x4_t a = vmov_n_f16(srcValue0);
vst1q_f32(A, vcvt_f32_f16(a));
if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src1Ptr = src1;
auto dstPtr = dst;
vst1q_f32(B, vcvt_f32_f16(vld1_f16(src1Ptr)));
for (int v = 0; v < 4; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(dstPtr, vcvt_f16_f32(vld1q_f32(C)));
src1 += 4;
dst += 4;
}
}
if (remainCount > 0) {
FLOAT16 tempSrc1[4];
FLOAT16 tempDst[4];
::memcpy(tempSrc1, src1, remainCount * sizeof(FLOAT16));
vst1q_f32(B, vcvt_f32_f16(vld1_f16(tempSrc1)));
for (int v = 0; v < remainCount; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(tempDst, vcvt_f16_f32(vld1q_f32(C)));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
}
} else {
const FLOAT16 srcValue1 = src1[0];
float16x4_t b = vmov_n_f16(srcValue1);
vst1q_f32(B, vcvt_f32_f16(b));
if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src0Ptr = src0;
auto dstPtr = dst;
vst1q_f32(A, vcvt_f32_f16(vld1_f16(src0Ptr)));
for (int v = 0; v < 4; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(dstPtr, vcvt_f16_f32(vld1q_f32(C)));
src0 += 4;
dst += 4;
}
}
if (remainCount > 0) {
FLOAT16 tempSrc0[4];
FLOAT16 tempDst[4];
::memcpy(tempSrc0, src0, remainCount * sizeof(FLOAT16));
vst1q_f32(A, vcvt_f32_f16(vld1_f16(tempSrc0)));
for (int v = 0; v < remainCount; ++ v) {
C[v] = compute(A[v], B[v]);
}
vst1_f16(tempDst, vcvt_f16_f32(vld1q_f32(C)));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
}
}
}
template<typename Func>
void Arm82Binary(FLOAT16 *dst, const FLOAT16 *src0, const FLOAT16 *src1, const int elementSize, const int needBroadcastIndex) {
Func compute;
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const int sizeDivUnit = elementSize / ARMV82_CHANNEL_UNIT;
const int remainCount = elementSize - sizeDivUnit * ARMV82_CHANNEL_UNIT;
if (-1 == needBroadcastIndex) {
if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src0Ptr = src0;
const auto src1Ptr = src1;
auto dstPtr = dst;
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float16x8_t a = vld1q_f16(src0Ptr);
float16x8_t b = vld1q_f16(src1Ptr);
vst1q_f16(dstPtr, compute(a, b));
src0 += 8;
src1 += 8;
dst += 8;
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}
}
if (remainCount > 0) {
FLOAT16 tempSrc0[8];
FLOAT16 tempSrc1[8];
FLOAT16 tempDst[8];
::memcpy(tempSrc0, src0, remainCount * sizeof(FLOAT16));
::memcpy(tempSrc1, src1, remainCount * sizeof(FLOAT16));
float16x8_t a = vld1q_f16(tempSrc0);
float16x8_t b = vld1q_f16(tempSrc1);
vst1q_f16(tempDst, compute(a, b));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
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}
} else if (0 == needBroadcastIndex) {
const FLOAT16 srcValue0 = src0[0];
float16x8_t a = vmovq_n_f16(srcValue0);
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if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src1Ptr = src1;
auto dstPtr = dst;
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float16x8_t b = vld1q_f16(src1Ptr);
vst1q_f16(dstPtr, compute(a, b));
src1 += 8;
dst += 8;
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}
}
if (remainCount > 0) {
FLOAT16 tempSrc1[8];
FLOAT16 tempDst[8];
::memcpy(tempSrc1, src1, remainCount * sizeof(FLOAT16));
float16x8_t b = vld1q_f16(tempSrc1);
vst1q_f16(tempDst, compute(a, b));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
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}
} else {
const FLOAT16 srcValue1 = src1[0];
float16x8_t b = vmovq_n_f16(srcValue1);
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if (sizeDivUnit > 0) {
for (int i = 0; i < sizeDivUnit; ++i) {
const auto src0Ptr = src0;
auto dstPtr = dst;
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float16x8_t a = vld1q_f16(src0Ptr);
vst1q_f16(dstPtr, compute(a, b));
src0 += 8;
dst += 8;
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}
}
if (remainCount > 0) {
FLOAT16 tempSrc0[8];
FLOAT16 tempDst[8];
::memcpy(tempSrc0, src0, remainCount * sizeof(FLOAT16));
float16x8_t a = vld1q_f16(tempSrc0);
vst1q_f16(tempDst, compute(a, b));
::memcpy(dst, tempDst, remainCount * sizeof(FLOAT16));
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}
}
}
struct VecBinaryAdd : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vaddq_f16(x, y);
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}
};
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struct VecBinarySub : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vsubq_f16(x, y);
}
};
struct VecBinaryMul : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vmulq_f16(x, y);
}
};
struct VecBinaryMin : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vminq_f16(x, y);
}
};
struct VecBinaryMax : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vmaxq_f16(x, y);
}
};
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struct VecBinarySqd : std::binary_function<float16x8_t, float16x8_t, float16x8_t> {
float16x8_t operator()(const float16x8_t& x, const float16x8_t& y) const {
return vmulq_f16(vsubq_f16(x, y), vsubq_f16(x, y));
}
};
Arm82BinaryFloat::Arm82BinaryFloat(Backend *backend, int32_t type):Execution(backend), mType(type) {
// Do nothing
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}
ErrorCode Arm82BinaryFloat::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
MNN_ASSERT(1 == outputs.size());
const int input0DataCount = ARM82TensorElementSizeHelper(inputs[0]);
const int input1DataCount = ARM82TensorElementSizeHelper(inputs[1]);
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if (input1DataCount == input0DataCount) {
mNeedBroadcastIndex = -1;
mTotalSize = input1DataCount;
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} else if (input0DataCount == 1) {
mNeedBroadcastIndex = 0;
mTotalSize = input1DataCount;
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} else {
mNeedBroadcastIndex = 1;
mTotalSize = input0DataCount;
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}
return NO_ERROR;
}
ErrorCode Arm82BinaryFloat::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs){
auto input0 = inputs[0];
auto input1 = inputs[1];
auto output = outputs[0];
const auto src0 = input0->host<FLOAT16>();
const auto src1 = input1->host<FLOAT16>();
auto dst = output->host<FLOAT16>();
switch (mType) {
case BinaryOpOperation_ADD:
Arm82Binary<VecBinaryAdd>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
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break;
case BinaryOpOperation_SUB:
Arm82Binary<VecBinarySub>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_MUL:
Arm82Binary<VecBinaryMul>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_MINIMUM:
Arm82Binary<VecBinaryMin>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_MAXIMUM:
Arm82Binary<VecBinaryMax>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_SquaredDifference:
Arm82Binary<VecBinarySqd>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_REALDIV:
Arm82BinaryWrap<BinaryRealDiv<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_FLOORDIV:
Arm82BinaryWrap<BinaryFloorDiv<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_FLOORMOD:
Arm82BinaryWrap<BinaryFloorMod<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_POW:
Arm82BinaryWrap<BinaryPow<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_ATAN2:
Arm82BinaryWrap<BinaryAtan2<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
break;
case BinaryOpOperation_MOD:
Arm82BinaryWrap<BinaryMod<float, float, float>>(dst, src0, src1, mTotalSize, mNeedBroadcastIndex);
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break;
default:
return NOT_SUPPORT;
break;
}
return NO_ERROR;
}
class Arm82BinaryCreator : public Arm82Backend::Arm82Creator {
virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
const MNN::Op *op, Backend *backend) const override {
int32_t type = op->main_as_BinaryOp()->opType();
auto dataType = outputs[0]->getType();
if (dataType.code != halide_type_float) {
return nullptr;
}
return new Arm82BinaryFloat(backend, type);
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}
};
REGISTER_ARM82_OP_CREATOR(OpType_BinaryOp, Arm82BinaryCreator);
} // namespace MNN
#endif