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opencv/modules/core/test/test_intrin_utils.hpp
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Sayed Adel 93ffebc273 core: reimplement SIMD arithmetic, logic and comparison operations into wide universal intrinsics 
- initialize arithmetic dispatcher
  - add new universal intrinsic v_absdiffs
  - add new universal intrinsic v_pack_b
  - add accumulate version of universal intrinsic v_round
  - fix sse/avx2:uint8 multiplication overflow
  - reimplement arithmetic, logic and comparison operations into wide universal intrinsics
    with full support for all types
  - reimplement IPP arithmetic, logic and comparison operations in a sperate file arithm_ipp.hpp
  - avoid scalar multiplication if scaling factor eq 1 and use integer multiplication
  - move C arithmetic operations to precomp.hpp and delete [arithm_simd|arithm_core].hpp
  - add compatibility with new opencv4 divide policy
2018-10-30 12:48:31 +02:00

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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// This file is not standalone.
// It is included with these active namespaces:
//namespace opencv_test { namespace hal { namespace intrinXXX {
//CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN
void test_hal_intrin_uint8();
void test_hal_intrin_int8();
void test_hal_intrin_uint16();
void test_hal_intrin_int16();
void test_hal_intrin_uint32();
void test_hal_intrin_int32();
void test_hal_intrin_uint64();
void test_hal_intrin_int64();
void test_hal_intrin_float32();
void test_hal_intrin_float64();
void test_hal_intrin_float16();
#ifndef CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
template <typename R> struct Data;
template <int N> struct initializer;
template <> struct initializer<64>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7], d[8], d[9], d[10], d[11], d[12], d[13], d[14], d[15],
d[16], d[17], d[18], d[19], d[20], d[21], d[22], d[23], d[24], d[25], d[26], d[27], d[28], d[29], d[30], d[31],
d[32], d[33], d[34], d[35], d[36], d[37], d[38], d[39], d[40], d[41], d[42], d[43], d[44], d[45], d[46], d[47],
d[48], d[49], d[50], d[51], d[52], d[53], d[54], d[55], d[56], d[57], d[58], d[59], d[50], d[51], d[52], d[53],
d[54], d[55], d[56], d[57], d[58], d[59], d[60], d[61], d[62], d[63]);
}
};
template <> struct initializer<32>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7], d[8], d[9], d[10], d[11], d[12], d[13], d[14], d[15],
d[16], d[17], d[18], d[19], d[20], d[21], d[22], d[23], d[24], d[25], d[26], d[27], d[28], d[29], d[30], d[31]);
}
};
template <> struct initializer<16>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7], d[8], d[9], d[10], d[11], d[12], d[13], d[14], d[15]);
}
};
template <> struct initializer<8>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1], d[2], d[3], d[4], d[5], d[6], d[7]);
}
};
template <> struct initializer<4>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1], d[2], d[3]);
}
};
template <> struct initializer<2>
{
template <typename R> static R init(const Data<R> & d)
{
return R(d[0], d[1]);
}
};
//==================================================================================================
template <typename R> struct Data
{
typedef typename R::lane_type LaneType;
typedef typename V_TypeTraits<LaneType>::int_type int_type;
Data()
{
for (int i = 0; i < R::nlanes; ++i)
d[i] = (LaneType)(i + 1);
}
Data(LaneType val)
{
fill(val);
}
Data(const R & r)
{
*this = r;
}
operator R ()
{
return initializer<R::nlanes>().init(*this);
}
Data<R> & operator=(const R & r)
{
v_store(d, r);
return *this;
}
template <typename T> Data<R> & operator*=(T m)
{
for (int i = 0; i < R::nlanes; ++i)
d[i] *= (LaneType)m;
return *this;
}
template <typename T> Data<R> & operator+=(T m)
{
for (int i = 0; i < R::nlanes; ++i)
d[i] += (LaneType)m;
return *this;
}
void fill(LaneType val, int s, int c = R::nlanes)
{
for (int i = s; i < c; ++i)
d[i] = val;
}
void fill(LaneType val)
{
fill(val, 0);
}
void reverse()
{
for (int i = 0; i < R::nlanes / 2; ++i)
std::swap(d[i], d[R::nlanes - i - 1]);
}
const LaneType & operator[](int i) const
{
CV_Assert(i >= 0 && i < R::nlanes);
return d[i];
}
LaneType & operator[](int i)
{
CV_Assert(i >= 0 && i < R::nlanes);
return d[i];
}
int_type as_int(int i) const
{
CV_Assert(i >= 0 && i < R::nlanes);
union
{
LaneType l;
int_type i;
} v;
v.l = d[i];
return v.i;
}
const LaneType * mid() const
{
return d + R::nlanes / 2;
}
LaneType * mid()
{
return d + R::nlanes / 2;
}
LaneType sum(int s, int c)
{
LaneType res = 0;
for (int i = s; i < s + c; ++i)
res += d[i];
return res;
}
LaneType sum()
{
return sum(0, R::nlanes);
}
bool operator==(const Data<R> & other) const
{
for (int i = 0; i < R::nlanes; ++i)
if (d[i] != other.d[i])
return false;
return true;
}
void clear()
{
fill(0);
}
bool isZero() const
{
return isValue(0);
}
bool isValue(uchar val) const
{
for (int i = 0; i < R::nlanes; ++i)
if (d[i] != val)
return false;
return true;
}
LaneType d[R::nlanes];
};
template<typename R> struct AlignedData
{
Data<R> CV_DECL_ALIGNED(CV_SIMD_WIDTH) a; // aligned
char dummy;
Data<R> u; // unaligned
};
template <typename R> std::ostream & operator<<(std::ostream & out, const Data<R> & d)
{
out << "{ ";
for (int i = 0; i < R::nlanes; ++i)
{
// out << std::hex << +V_TypeTraits<typename R::lane_type>::reinterpret_int(d.d[i]);
out << +d.d[i];
if (i + 1 < R::nlanes)
out << ", ";
}
out << " }";
return out;
}
template<typename T> static inline void EXPECT_COMPARE_EQ_(const T a, const T b);
template<> inline void EXPECT_COMPARE_EQ_<float>(const float a, const float b)
{
EXPECT_FLOAT_EQ( a, b );
}
template<> inline void EXPECT_COMPARE_EQ_<double>(const double a, const double b)
{
EXPECT_DOUBLE_EQ( a, b );
}
// pack functions do not do saturation when converting from 64-bit types
template<typename T, typename W>
inline T pack_saturate_cast(W a) { return saturate_cast<T>(a); }
template<>
inline int pack_saturate_cast<int, int64>(int64 a) { return static_cast<int>(a); }
template<>
inline unsigned pack_saturate_cast<unsigned, uint64>(uint64 a) { return static_cast<unsigned>(a); }
template<typename R> struct TheTest
{
typedef typename R::lane_type LaneType;
template <typename T1, typename T2>
static inline void EXPECT_COMPARE_EQ(const T1 a, const T2 b)
{
EXPECT_COMPARE_EQ_<LaneType>((LaneType)a, (LaneType)b);
}
TheTest & test_loadstore()
{
AlignedData<R> data;
AlignedData<R> out;
// check if addresses are aligned and unaligned respectively
EXPECT_EQ((size_t)0, (size_t)&data.a.d % CV_SIMD_WIDTH);
EXPECT_NE((size_t)0, (size_t)&data.u.d % CV_SIMD_WIDTH);
EXPECT_EQ((size_t)0, (size_t)&out.a.d % CV_SIMD_WIDTH);
EXPECT_NE((size_t)0, (size_t)&out.u.d % CV_SIMD_WIDTH);
// check some initialization methods
R r1 = data.a;
R r2 = vx_load(data.u.d);
R r3 = vx_load_aligned(data.a.d);
R r4(r2);
EXPECT_EQ(data.a[0], r1.get0());
EXPECT_EQ(data.u[0], r2.get0());
EXPECT_EQ(data.a[0], r3.get0());
EXPECT_EQ(data.u[0], r4.get0());
R r_low = vx_load_low((LaneType*)data.u.d);
EXPECT_EQ(data.u[0], r_low.get0());
v_store(out.u.d, r_low);
for (int i = 0; i < R::nlanes/2; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((LaneType)data.u[i], (LaneType)out.u[i]);
}
R r_low_align8byte = vx_load_low((LaneType*)((char*)data.u.d + (CV_SIMD_WIDTH / 2)));
EXPECT_EQ(data.u[R::nlanes/2], r_low_align8byte.get0());
v_store(out.u.d, r_low_align8byte);
for (int i = 0; i < R::nlanes/2; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((LaneType)data.u[i + R::nlanes/2], (LaneType)out.u[i]);
}
// check some store methods
out.u.clear();
out.a.clear();
v_store(out.u.d, r1);
v_store_aligned(out.a.d, r2);
EXPECT_EQ(data.a, out.a);
EXPECT_EQ(data.u, out.u);
// check more store methods
Data<R> d, res(0);
R r5 = d;
v_store_high(res.mid(), r5);
v_store_low(res.d, r5);
EXPECT_EQ(d, res);
// check halves load correctness
res.clear();
R r6 = vx_load_halves(d.d, d.mid());
v_store(res.d, r6);
EXPECT_EQ(d, res);
// zero, all
Data<R> resZ, resV;
resZ.fill((LaneType)0);
resV.fill((LaneType)8);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((LaneType)0, resZ[i]);
EXPECT_EQ((LaneType)8, resV[i]);
}
// reinterpret_as
v_uint8 vu8 = v_reinterpret_as_u8(r1); out.a.clear(); v_store((uchar*)out.a.d, vu8); EXPECT_EQ(data.a, out.a);
v_int8 vs8 = v_reinterpret_as_s8(r1); out.a.clear(); v_store((schar*)out.a.d, vs8); EXPECT_EQ(data.a, out.a);
v_uint16 vu16 = v_reinterpret_as_u16(r1); out.a.clear(); v_store((ushort*)out.a.d, vu16); EXPECT_EQ(data.a, out.a);
v_int16 vs16 = v_reinterpret_as_s16(r1); out.a.clear(); v_store((short*)out.a.d, vs16); EXPECT_EQ(data.a, out.a);
v_uint32 vu32 = v_reinterpret_as_u32(r1); out.a.clear(); v_store((unsigned*)out.a.d, vu32); EXPECT_EQ(data.a, out.a);
v_int32 vs32 = v_reinterpret_as_s32(r1); out.a.clear(); v_store((int*)out.a.d, vs32); EXPECT_EQ(data.a, out.a);
v_uint64 vu64 = v_reinterpret_as_u64(r1); out.a.clear(); v_store((uint64*)out.a.d, vu64); EXPECT_EQ(data.a, out.a);
v_int64 vs64 = v_reinterpret_as_s64(r1); out.a.clear(); v_store((int64*)out.a.d, vs64); EXPECT_EQ(data.a, out.a);
v_float32 vf32 = v_reinterpret_as_f32(r1); out.a.clear(); v_store((float*)out.a.d, vf32); EXPECT_EQ(data.a, out.a);
#if CV_SIMD_64F
v_float64 vf64 = v_reinterpret_as_f64(r1); out.a.clear(); v_store((double*)out.a.d, vf64); EXPECT_EQ(data.a, out.a);
#endif
return *this;
}
TheTest & test_interleave()
{
Data<R> data1, data2, data3, data4;
data2 += 20;
data3 += 40;
data4 += 60;
R a = data1, b = data2, c = data3;
R d = data1, e = data2, f = data3, g = data4;
LaneType buf3[R::nlanes * 3];
LaneType buf4[R::nlanes * 4];
v_store_interleave(buf3, a, b, c);
v_store_interleave(buf4, d, e, f, g);
Data<R> z(0);
a = b = c = d = e = f = g = z;
v_load_deinterleave(buf3, a, b, c);
v_load_deinterleave(buf4, d, e, f, g);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(data1, Data<R>(a));
EXPECT_EQ(data2, Data<R>(b));
EXPECT_EQ(data3, Data<R>(c));
EXPECT_EQ(data1, Data<R>(d));
EXPECT_EQ(data2, Data<R>(e));
EXPECT_EQ(data3, Data<R>(f));
EXPECT_EQ(data4, Data<R>(g));
}
return *this;
}
// float32x4 only
TheTest & test_interleave_2channel()
{
Data<R> data1, data2;
data2 += 20;
R a = data1, b = data2;
LaneType buf2[R::nlanes * 2];
v_store_interleave(buf2, a, b);
Data<R> z(0);
a = b = z;
v_load_deinterleave(buf2, a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(data1, Data<R>(a));
EXPECT_EQ(data2, Data<R>(b));
}
return *this;
}
// v_expand and v_load_expand
TheTest & test_expand()
{
typedef typename V_RegTraits<R>::w_reg Rx2;
Data<R> dataA;
R a = dataA;
Data<Rx2> resB = vx_load_expand(dataA.d);
Rx2 c, d, e, f;
v_expand(a, c, d);
e = v_expand_low(a);
f = v_expand_high(a);
Data<Rx2> resC = c, resD = d, resE = e, resF = f;
const int n = Rx2::nlanes;
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i], resB[i]);
EXPECT_EQ(dataA[i], resC[i]);
EXPECT_EQ(dataA[i + n], resD[i]);
EXPECT_EQ(dataA[i], resE[i]);
EXPECT_EQ(dataA[i + n], resF[i]);
}
return *this;
}
TheTest & test_expand_q()
{
typedef typename V_RegTraits<R>::q_reg Rx4;
Data<R> data;
Data<Rx4> out = vx_load_expand_q(data.d);
const int n = Rx4::nlanes;
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(data[i], out[i]);
}
return *this;
}
TheTest & test_addsub()
{
Data<R> dataA, dataB;
dataB.reverse();
R a = dataA, b = dataB;
Data<R> resC = a + b, resD = a - b;
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(saturate_cast<LaneType>(dataA[i] + dataB[i]), resC[i]);
EXPECT_EQ(saturate_cast<LaneType>(dataA[i] - dataB[i]), resD[i]);
}
return *this;
}
TheTest & test_arithm_wrap()
{
Data<R> dataA, dataB;
dataB.reverse();
R a = dataA, b = dataB;
Data<R> resC = v_add_wrap(a, b),
resD = v_sub_wrap(a, b),
resE = v_mul_wrap(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((LaneType)(dataA[i] + dataB[i]), resC[i]);
EXPECT_EQ((LaneType)(dataA[i] - dataB[i]), resD[i]);
EXPECT_EQ((LaneType)(dataA[i] * dataB[i]), resE[i]);
}
return *this;
}
TheTest & test_mul()
{
Data<R> dataA, dataB;
dataA[1] = static_cast<LaneType>(std::numeric_limits<LaneType>::max());
dataB.reverse();
R a = dataA, b = dataB;
Data<R> resC = a * b;
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(saturate_cast<LaneType>(dataA[i] * dataB[i]), resC[i]);
}
return *this;
}
TheTest & test_div()
{
Data<R> dataA, dataB;
dataB.reverse();
R a = dataA, b = dataB;
Data<R> resC = a / b;
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i] / dataB[i], resC[i]);
}
return *this;
}
TheTest & test_mul_expand()
{
typedef typename V_RegTraits<R>::w_reg Rx2;
Data<R> dataA, dataB(2);
R a = dataA, b = dataB;
Rx2 c, d;
v_mul_expand(a, b, c, d);
Data<Rx2> resC = c, resD = d;
const int n = R::nlanes / 2;
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((typename Rx2::lane_type)dataA[i] * dataB[i], resC[i]);
EXPECT_EQ((typename Rx2::lane_type)dataA[i + n] * dataB[i + n], resD[i]);
}
return *this;
}
TheTest & test_abs()
{
typedef typename V_RegTraits<R>::u_reg Ru;
typedef typename Ru::lane_type u_type;
Data<R> dataA, dataB(10);
R a = dataA, b = dataB;
a = a - b;
Data<Ru> resC = v_abs(a);
for (int i = 0; i < Ru::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((u_type)std::abs(dataA[i] - dataB[i]), resC[i]);
}
return *this;
}
template <int s>
TheTest & test_shift()
{
SCOPED_TRACE(s);
Data<R> dataA;
dataA[0] = static_cast<LaneType>(std::numeric_limits<LaneType>::max());
R a = dataA;
Data<R> resB = a << s, resC = v_shl<s>(a), resD = a >> s, resE = v_shr<s>(a);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(static_cast<LaneType>(dataA[i] << s), resB[i]);
EXPECT_EQ(static_cast<LaneType>(dataA[i] << s), resC[i]);
EXPECT_EQ(static_cast<LaneType>(dataA[i] >> s), resD[i]);
EXPECT_EQ(static_cast<LaneType>(dataA[i] >> s), resE[i]);
}
return *this;
}
TheTest & test_cmp()
{
Data<R> dataA, dataB;
dataB.reverse();
dataB += 1;
R a = dataA, b = dataB;
Data<R> resC = (a == b);
Data<R> resD = (a != b);
Data<R> resE = (a > b);
Data<R> resF = (a >= b);
Data<R> resG = (a < b);
Data<R> resH = (a <= b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i] == dataB[i], resC[i] != 0);
EXPECT_EQ(dataA[i] != dataB[i], resD[i] != 0);
EXPECT_EQ(dataA[i] > dataB[i], resE[i] != 0);
EXPECT_EQ(dataA[i] >= dataB[i], resF[i] != 0);
EXPECT_EQ(dataA[i] < dataB[i], resG[i] != 0);
EXPECT_EQ(dataA[i] <= dataB[i], resH[i] != 0);
}
return *this;
}
TheTest & test_dot_prod()
{
typedef typename V_RegTraits<R>::w_reg Rx2;
typedef typename Rx2::lane_type w_type;
Data<R> dataA, dataB(2);
R a = dataA, b = dataB;
Data<Rx2> dataC;
dataC += std::numeric_limits<w_type>::is_signed ?
std::numeric_limits<w_type>::min() :
std::numeric_limits<w_type>::max() - R::nlanes * (dataB[0] + 1);
Rx2 c = dataC;
Data<Rx2> resD = v_dotprod(a, b),
resE = v_dotprod(a, b, c);
const int n = R::nlanes / 2;
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i*2] * dataB[i*2] + dataA[i*2 + 1] * dataB[i*2 + 1], resD[i]);
EXPECT_EQ(dataA[i*2] * dataB[i*2] + dataA[i*2 + 1] * dataB[i*2 + 1] + dataC[i], resE[i]);
}
return *this;
}
TheTest & test_logic()
{
Data<R> dataA, dataB(2);
R a = dataA, b = dataB;
Data<R> resC = a & b, resD = a | b, resE = a ^ b, resF = ~a;
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i] & dataB[i], resC[i]);
EXPECT_EQ(dataA[i] | dataB[i], resD[i]);
EXPECT_EQ(dataA[i] ^ dataB[i], resE[i]);
EXPECT_EQ((LaneType)~dataA[i], resF[i]);
}
return *this;
}
TheTest & test_sqrt_abs()
{
Data<R> dataA, dataD;
dataD *= -1.0;
R a = dataA, d = dataD;
Data<R> resB = v_sqrt(a), resC = v_invsqrt(a), resE = v_abs(d);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_COMPARE_EQ((float)std::sqrt(dataA[i]), (float)resB[i]);
EXPECT_COMPARE_EQ(1/(float)std::sqrt(dataA[i]), (float)resC[i]);
EXPECT_COMPARE_EQ((float)abs(dataA[i]), (float)resE[i]);
}
return *this;
}
TheTest & test_min_max()
{
Data<R> dataA, dataB;
dataB.reverse();
R a = dataA, b = dataB;
Data<R> resC = v_min(a, b), resD = v_max(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(std::min(dataA[i], dataB[i]), resC[i]);
EXPECT_EQ(std::max(dataA[i], dataB[i]), resD[i]);
}
return *this;
}
TheTest & test_popcount()
{
static unsigned popcountTable[] = {
0, 1, 2, 4, 5, 7, 9, 12, 13, 15, 17, 20, 22, 25, 28, 32, 33,
35, 37, 40, 42, 45, 48, 52, 54, 57, 60, 64, 67, 71, 75, 80, 81,
83, 85, 88, 90, 93, 96, 100, 102, 105, 108, 112, 115, 119, 123,
128, 130, 133, 136, 140, 143, 147, 151, 156, 159, 163, 167, 172,
176, 181, 186, 192, 193
};
Data<R> dataA;
R a = dataA;
unsigned resB = (unsigned)v_reduce_sum(v_popcount(a));
EXPECT_EQ(popcountTable[R::nlanes], resB);
return *this;
}
TheTest & test_absdiff()
{
typedef typename V_RegTraits<R>::u_reg Ru;
typedef typename Ru::lane_type u_type;
Data<R> dataA(std::numeric_limits<LaneType>::max()),
dataB(std::numeric_limits<LaneType>::min());
dataA[0] = (LaneType)-1;
dataB[0] = 1;
dataA[1] = 2;
dataB[1] = (LaneType)-2;
R a = dataA, b = dataB;
Data<Ru> resC = v_absdiff(a, b);
const u_type mask = std::numeric_limits<LaneType>::is_signed ? (u_type)(1 << (sizeof(u_type)*8 - 1)) : 0;
for (int i = 0; i < Ru::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
u_type uA = dataA[i] ^ mask;
u_type uB = dataB[i] ^ mask;
EXPECT_EQ(uA > uB ? uA - uB : uB - uA, resC[i]);
}
return *this;
}
TheTest & test_float_absdiff()
{
Data<R> dataA(std::numeric_limits<LaneType>::max()),
dataB(std::numeric_limits<LaneType>::min());
dataA[0] = -1;
dataB[0] = 1;
dataA[1] = 2;
dataB[1] = -2;
R a = dataA, b = dataB;
Data<R> resC = v_absdiff(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i] > dataB[i] ? dataA[i] - dataB[i] : dataB[i] - dataA[i], resC[i]);
}
return *this;
}
TheTest & test_absdiffs()
{
Data<R> dataA(std::numeric_limits<LaneType>::max()),
dataB(std::numeric_limits<LaneType>::min());
dataA[0] = (LaneType)-1;
dataB[0] = 1;
dataA[1] = 2;
dataB[1] = (LaneType)-2;
R a = dataA, b = dataB;
Data<R> resC = v_absdiffs(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
EXPECT_EQ(saturate_cast<LaneType>(std::abs(dataA[i] - dataB[i])), resC[i]);
}
return *this;
}
TheTest & test_reduce()
{
Data<R> dataA;
R a = dataA;
EXPECT_EQ((LaneType)1, v_reduce_min(a));
EXPECT_EQ((LaneType)R::nlanes, v_reduce_max(a));
EXPECT_EQ((LaneType)((1 + R::nlanes)*R::nlanes/2), v_reduce_sum(a));
return *this;
}
TheTest & test_mask()
{
typedef typename V_RegTraits<R>::int_reg int_reg;
typedef typename V_RegTraits<int_reg>::u_reg uint_reg;
typedef typename int_reg::lane_type int_type;
typedef typename uint_reg::lane_type uint_type;
Data<R> dataA, dataB(0), dataC, dataD(1), dataE(2);
dataA[1] *= (LaneType)-1;
union
{
LaneType l;
uint_type ui;
}
all1s;
all1s.ui = (uint_type)-1;
LaneType mask_one = all1s.l;
dataB[1] = mask_one;
dataB[R::nlanes / 2] = mask_one;
dataB[R::nlanes - 1] = mask_one;
dataC *= (LaneType)-1;
R a = dataA, b = dataB, c = dataC, d = dataD, e = dataE;
int m = v_signmask(a);
EXPECT_EQ(2, m);
EXPECT_EQ(false, v_check_all(a));
EXPECT_EQ(false, v_check_all(b));
EXPECT_EQ(true, v_check_all(c));
EXPECT_EQ(true, v_check_any(a));
EXPECT_EQ(true, v_check_any(b));
EXPECT_EQ(true, v_check_any(c));
R f = v_select(b, d, e);
Data<R> resF = f;
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
int_type m2 = dataB.as_int(i);
EXPECT_EQ((dataD.as_int(i) & m2) | (dataE.as_int(i) & ~m2), resF.as_int(i));
}
return *this;
}
template <int s>
TheTest & test_pack()
{
SCOPED_TRACE(s);
typedef typename V_RegTraits<R>::w_reg Rx2;
typedef typename Rx2::lane_type w_type;
Data<Rx2> dataA, dataB;
dataA += std::numeric_limits<LaneType>::is_signed ? -10 : 10;
dataB *= 10;
dataB[0] = static_cast<w_type>(std::numeric_limits<LaneType>::max()) + 17; // to check saturation
Rx2 a = dataA, b = dataB;
Data<R> resC = v_pack(a, b);
Data<R> resD = v_rshr_pack<s>(a, b);
Data<R> resE(0);
v_pack_store(resE.d, b);
Data<R> resF(0);
v_rshr_pack_store<s>(resF.d, b);
const int n = Rx2::nlanes;
const w_type add = (w_type)1 << (s - 1);
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(pack_saturate_cast<LaneType>(dataA[i]), resC[i]);
EXPECT_EQ(pack_saturate_cast<LaneType>(dataB[i]), resC[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataA[i] + add) >> s), resD[i]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataB[i] + add) >> s), resD[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>(dataB[i]), resE[i]);
EXPECT_EQ((LaneType)0, resE[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataB[i] + add) >> s), resF[i]);
EXPECT_EQ((LaneType)0, resF[i + n]);
}
return *this;
}
template <int s>
TheTest & test_pack_u()
{
SCOPED_TRACE(s);
//typedef typename V_RegTraits<LaneType>::w_type LaneType_w;
typedef typename V_RegTraits<R>::w_reg R2;
typedef typename V_RegTraits<R2>::int_reg Ri2;
typedef typename Ri2::lane_type w_type;
Data<Ri2> dataA, dataB;
dataA += -10;
dataB *= 10;
dataB[0] = static_cast<w_type>(std::numeric_limits<LaneType>::max()) + 17; // to check saturation
Ri2 a = dataA, b = dataB;
Data<R> resC = v_pack_u(a, b);
Data<R> resD = v_rshr_pack_u<s>(a, b);
Data<R> resE(0);
v_pack_u_store(resE.d, b);
Data<R> resF(0);
v_rshr_pack_u_store<s>(resF.d, b);
const int n = Ri2::nlanes;
const w_type add = (w_type)1 << (s - 1);
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(pack_saturate_cast<LaneType>(dataA[i]), resC[i]);
EXPECT_EQ(pack_saturate_cast<LaneType>(dataB[i]), resC[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataA[i] + add) >> s), resD[i]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataB[i] + add) >> s), resD[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>(dataB[i]), resE[i]);
EXPECT_EQ((LaneType)0, resE[i + n]);
EXPECT_EQ(pack_saturate_cast<LaneType>((dataB[i] + add) >> s), resF[i]);
EXPECT_EQ((LaneType)0, resF[i + n]);
}
return *this;
}
// v_uint8 only
TheTest & test_pack_b()
{
// 16-bit
Data<R> dataA, dataB;
dataB.fill(0, R::nlanes / 2);
R a = dataA, b = dataB;
Data<R> maskA = a == b, maskB = a != b;
a = maskA; b = maskB;
Data<R> res = v_pack_b(v_reinterpret_as_u16(a), v_reinterpret_as_u16(b));
for (int i = 0; i < v_uint16::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(maskA[i * 2], res[i]);
EXPECT_EQ(maskB[i * 2], res[i + v_uint16::nlanes]);
}
// 32-bit
Data<R> dataC, dataD;
dataD.fill(0, R::nlanes / 2);
R c = dataC, d = dataD;
Data<R> maskC = c == d, maskD = c != d;
c = maskC; d = maskD;
res = v_pack_b
(
v_reinterpret_as_u32(a), v_reinterpret_as_u32(b),
v_reinterpret_as_u32(c), v_reinterpret_as_u32(d)
);
for (int i = 0; i < v_uint32::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(maskA[i * 4], res[i]);
EXPECT_EQ(maskB[i * 4], res[i + v_uint32::nlanes]);
EXPECT_EQ(maskC[i * 4], res[i + v_uint32::nlanes * 2]);
EXPECT_EQ(maskD[i * 4], res[i + v_uint32::nlanes * 3]);
}
// 64-bit
Data<R> dataE, dataF, dataG(0), dataH(0xFF);
dataF.fill(0, R::nlanes / 2);
R e = dataE, f = dataF, g = dataG, h = dataH;
Data<R> maskE = e == f, maskF = e != f;
e = maskE; f = maskF;
res = v_pack_b
(
v_reinterpret_as_u64(a), v_reinterpret_as_u64(b),
v_reinterpret_as_u64(c), v_reinterpret_as_u64(d),
v_reinterpret_as_u64(e), v_reinterpret_as_u64(f),
v_reinterpret_as_u64(g), v_reinterpret_as_u64(h)
);
for (int i = 0; i < v_uint64::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(maskA[i * 8], res[i]);
EXPECT_EQ(maskB[i * 8], res[i + v_uint64::nlanes]);
EXPECT_EQ(maskC[i * 8], res[i + v_uint64::nlanes * 2]);
EXPECT_EQ(maskD[i * 8], res[i + v_uint64::nlanes * 3]);
EXPECT_EQ(maskE[i * 8], res[i + v_uint64::nlanes * 4]);
EXPECT_EQ(maskF[i * 8], res[i + v_uint64::nlanes * 5]);
EXPECT_EQ(dataG[i * 8], res[i + v_uint64::nlanes * 6]);
EXPECT_EQ(dataH[i * 8], res[i + v_uint64::nlanes * 7]);
}
return *this;
}
TheTest & test_unpack()
{
Data<R> dataA, dataB;
dataB *= 10;
R a = dataA, b = dataB;
R c, d, e, f, lo, hi;
v_zip(a, b, c, d);
v_recombine(a, b, e, f);
lo = v_combine_low(a, b);
hi = v_combine_high(a, b);
Data<R> resC = c, resD = d, resE = e, resF = f, resLo = lo, resHi = hi;
const int n = R::nlanes/2;
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(dataA[i], resC[i*2]);
EXPECT_EQ(dataB[i], resC[i*2+1]);
EXPECT_EQ(dataA[i+n], resD[i*2]);
EXPECT_EQ(dataB[i+n], resD[i*2+1]);
EXPECT_EQ(dataA[i], resE[i]);
EXPECT_EQ(dataB[i], resE[i+n]);
EXPECT_EQ(dataA[i+n], resF[i]);
EXPECT_EQ(dataB[i+n], resF[i+n]);
EXPECT_EQ(dataA[i], resLo[i]);
EXPECT_EQ(dataB[i], resLo[i+n]);
EXPECT_EQ(dataA[i+n], resHi[i]);
EXPECT_EQ(dataB[i+n], resHi[i+n]);
}
return *this;
}
template<int s>
TheTest & test_extract()
{
SCOPED_TRACE(s);
Data<R> dataA, dataB;
dataB *= 10;
R a = dataA, b = dataB;
Data<R> resC = v_extract<s>(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
if (i + s >= R::nlanes)
EXPECT_EQ(dataB[i - R::nlanes + s], resC[i]);
else
EXPECT_EQ(dataA[i + s], resC[i]);
}
return *this;
}
template<int s>
TheTest & test_rotate()
{
SCOPED_TRACE(s);
Data<R> dataA, dataB;
dataB *= 10;
R a = dataA, b = dataB;
Data<R> resC = v_rotate_right<s>(a);
Data<R> resD = v_rotate_right<s>(a, b);
Data<R> resE = v_rotate_left<s>(a);
Data<R> resF = v_rotate_left<s>(a, b);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
if (i + s >= R::nlanes)
{
EXPECT_EQ((LaneType)0, resC[i]);
EXPECT_EQ(dataB[i - R::nlanes + s], resD[i]);
EXPECT_EQ((LaneType)0, resE[i - R::nlanes + s]);
EXPECT_EQ(dataB[i], resF[i - R::nlanes + s]);
}
else
{
EXPECT_EQ(dataA[i + s], resC[i]);
EXPECT_EQ(dataA[i + s], resD[i]);
EXPECT_EQ(dataA[i], resE[i + s]);
EXPECT_EQ(dataA[i], resF[i + s]);
}
}
return *this;
}
TheTest & test_float_math()
{
typedef typename V_RegTraits<R>::round_reg Ri;
Data<R> data1, data2, data3;
data1 *= 1.1;
data2 += 10;
R a1 = data1, a2 = data2, a3 = data3;
Data<Ri> resB = v_round(a1),
resC = v_trunc(a1),
resD = v_floor(a1),
resE = v_ceil(a1);
Data<R> resF = v_magnitude(a1, a2),
resG = v_sqr_magnitude(a1, a2),
resH = v_muladd(a1, a2, a3);
for (int i = 0; i < R::nlanes; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ(cvRound(data1[i]), resB[i]);
EXPECT_EQ((typename Ri::lane_type)data1[i], resC[i]);
EXPECT_EQ(cvFloor(data1[i]), resD[i]);
EXPECT_EQ(cvCeil(data1[i]), resE[i]);
EXPECT_COMPARE_EQ(std::sqrt(data1[i]*data1[i] + data2[i]*data2[i]), resF[i]);
EXPECT_COMPARE_EQ(data1[i]*data1[i] + data2[i]*data2[i], resG[i]);
EXPECT_COMPARE_EQ(data1[i]*data2[i] + data3[i], resH[i]);
}
return *this;
}
TheTest & test_float_cvt32()
{
typedef v_float32 Rt;
Data<R> dataA;
dataA *= 1.1;
R a = dataA;
Rt b = v_cvt_f32(a);
Data<Rt> resB = b;
int n = std::min<int>(Rt::nlanes, R::nlanes);
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((typename Rt::lane_type)dataA[i], resB[i]);
}
return *this;
}
TheTest & test_float_cvt64()
{
#if CV_SIMD_64F
typedef v_float64 Rt;
Data<R> dataA;
dataA *= 1.1;
R a = dataA;
Rt b = v_cvt_f64(a);
Rt c = v_cvt_f64_high(a);
Data<Rt> resB = b;
Data<Rt> resC = c;
int n = std::min<int>(Rt::nlanes, R::nlanes);
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((typename Rt::lane_type)dataA[i], resB[i]);
}
for (int i = 0; i < n; ++i)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_EQ((typename Rt::lane_type)dataA[i+n], resC[i]);
}
#endif
return *this;
}
TheTest & test_matmul()
{
Data<R> dataV, dataA, dataB, dataC, dataD;
dataB.reverse();
dataC += 2;
dataD *= 0.3;
R v = dataV, a = dataA, b = dataB, c = dataC, d = dataD;
Data<R> res = v_matmul(v, a, b, c, d);
for (int i = 0; i < R::nlanes; i += 4)
{
for (int j = i; j < i + 4; ++j)
{
SCOPED_TRACE(cv::format("i=%d j=%d", i, j));
LaneType val = dataV[i] * dataA[j]
+ dataV[i + 1] * dataB[j]
+ dataV[i + 2] * dataC[j]
+ dataV[i + 3] * dataD[j];
EXPECT_COMPARE_EQ(val, res[j]);
}
}
Data<R> resAdd = v_matmuladd(v, a, b, c, d);
for (int i = 0; i < R::nlanes; i += 4)
{
for (int j = i; j < i + 4; ++j)
{
SCOPED_TRACE(cv::format("i=%d j=%d", i, j));
LaneType val = dataV[i] * dataA[j]
+ dataV[i + 1] * dataB[j]
+ dataV[i + 2] * dataC[j]
+ dataD[j];
EXPECT_COMPARE_EQ(val, resAdd[j]);
}
}
return *this;
}
TheTest & test_transpose()
{
Data<R> dataA, dataB, dataC, dataD;
dataB *= 5;
dataC *= 10;
dataD *= 15;
R a = dataA, b = dataB, c = dataC, d = dataD;
R e, f, g, h;
v_transpose4x4(a, b, c, d,
e, f, g, h);
Data<R> res[4] = {e, f, g, h};
for (int i = 0; i < R::nlanes; i += 4)
{
for (int j = 0; j < 4; ++j)
{
SCOPED_TRACE(cv::format("i=%d j=%d", i, j));
EXPECT_EQ(dataA[i + j], res[j][i]);
EXPECT_EQ(dataB[i + j], res[j][i + 1]);
EXPECT_EQ(dataC[i + j], res[j][i + 2]);
EXPECT_EQ(dataD[i + j], res[j][i + 3]);
}
}
return *this;
}
TheTest & test_reduce_sum4()
{
Data<R> dataA, dataB, dataC, dataD;
dataB *= 0.01f;
dataC *= 0.001f;
dataD *= 0.002f;
R a = dataA, b = dataB, c = dataC, d = dataD;
Data<R> res = v_reduce_sum4(a, b, c, d);
for (int i = 0; i < R::nlanes; i += 4)
{
SCOPED_TRACE(cv::format("i=%d", i));
EXPECT_COMPARE_EQ(dataA.sum(i, 4), res[i]);
EXPECT_COMPARE_EQ(dataB.sum(i, 4), res[i + 1]);
EXPECT_COMPARE_EQ(dataC.sum(i, 4), res[i + 2]);
EXPECT_COMPARE_EQ(dataD.sum(i, 4), res[i + 3]);
}
return *this;
}
TheTest & test_loadstore_fp16_f32()
{
printf("test_loadstore_fp16_f32 ...\n");
AlignedData<v_uint16> data; data.a.clear();
data.a.d[0] = 0x3c00; // 1.0
data.a.d[R::nlanes - 1] = (unsigned short)0xc000; // -2.0
AlignedData<v_float32> data_f32; data_f32.a.clear();
AlignedData<v_uint16> out;
R r1 = vx_load_expand((const cv::float16_t*)data.a.d);
R r2(r1);
EXPECT_EQ(1.0f, r1.get0());
vx_store(data_f32.a.d, r2);
EXPECT_EQ(-2.0f, data_f32.a.d[R::nlanes - 1]);
out.a.clear();
v_pack_store((cv::float16_t*)out.a.d, r2);
for (int i = 0; i < R::nlanes; ++i)
{
EXPECT_EQ(data.a[i], out.a[i]) << "i=" << i;
}
return *this;
}
#if 0
TheTest & test_loadstore_fp16()
{
printf("test_loadstore_fp16 ...\n");
AlignedData<R> data;
AlignedData<R> out;
// check if addresses are aligned and unaligned respectively
EXPECT_EQ((size_t)0, (size_t)&data.a.d % CV_SIMD_WIDTH);
EXPECT_NE((size_t)0, (size_t)&data.u.d % CV_SIMD_WIDTH);
EXPECT_EQ((size_t)0, (size_t)&out.a.d % CV_SIMD_WIDTH);
EXPECT_NE((size_t)0, (size_t)&out.u.d % CV_SIMD_WIDTH);
// check some initialization methods
R r1 = data.u;
R r2 = vx_load_expand((const float16_t*)data.a.d);
R r3(r2);
EXPECT_EQ(data.u[0], r1.get0());
EXPECT_EQ(data.a[0], r2.get0());
EXPECT_EQ(data.a[0], r3.get0());
// check some store methods
out.a.clear();
v_store(out.a.d, r1);
EXPECT_EQ(data.a, out.a);
return *this;
}
TheTest & test_float_cvt_fp16()
{
printf("test_float_cvt_fp16 ...\n");
AlignedData<v_float32> data;
// check conversion
v_float32 r1 = vx_load(data.a.d);
v_float16 r2 = v_cvt_f16(r1, vx_setzero_f32());
v_float32 r3 = v_cvt_f32(r2);
EXPECT_EQ(0x3c00, r2.get0());
EXPECT_EQ(r3.get0(), r1.get0());
return *this;
}
#endif
};
#if 1
#define DUMP_ENTRY(type) printf("SIMD%d: %s\n", 8*(int)sizeof(v_uint8), CV__TRACE_FUNCTION);
#endif
//============= 8-bit integer =====================================================================
void test_hal_intrin_uint8()
{
DUMP_ENTRY(v_uint8);
TheTest<v_uint8>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_expand_q()
.test_addsub()
.test_arithm_wrap()
.test_mul()
.test_mul_expand()
.test_cmp()
.test_logic()
.test_min_max()
.test_absdiff()
.test_mask()
.test_popcount()
.test_pack<1>().test_pack<2>().test_pack<3>().test_pack<8>()
.test_pack_u<1>().test_pack_u<2>().test_pack_u<3>().test_pack_u<8>()
.test_pack_b()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<8>().test_extract<15>()
.test_rotate<0>().test_rotate<1>().test_rotate<8>().test_rotate<15>()
;
#if CV_SIMD_WIDTH == 32
TheTest<v_uint8>()
.test_pack<9>().test_pack<10>().test_pack<13>().test_pack<15>()
.test_pack_u<9>().test_pack_u<10>().test_pack_u<13>().test_pack_u<15>()
.test_extract<16>().test_extract<17>().test_extract<23>().test_extract<31>()
.test_rotate<16>().test_rotate<17>().test_rotate<23>().test_rotate<31>()
;
#endif
}
void test_hal_intrin_int8()
{
DUMP_ENTRY(v_int8);
TheTest<v_int8>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_expand_q()
.test_addsub()
.test_arithm_wrap()
.test_mul()
.test_mul_expand()
.test_cmp()
.test_logic()
.test_min_max()
.test_absdiff()
.test_absdiffs()
.test_abs()
.test_mask()
.test_popcount()
.test_pack<1>().test_pack<2>().test_pack<3>().test_pack<8>()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<8>().test_extract<15>()
.test_rotate<0>().test_rotate<1>().test_rotate<8>().test_rotate<15>()
;
}
//============= 16-bit integer =====================================================================
void test_hal_intrin_uint16()
{
DUMP_ENTRY(v_uint16);
TheTest<v_uint16>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_addsub()
.test_arithm_wrap()
.test_mul()
.test_mul_expand()
.test_cmp()
.test_shift<1>()
.test_shift<8>()
.test_logic()
.test_min_max()
.test_absdiff()
.test_reduce()
.test_mask()
.test_popcount()
.test_pack<1>().test_pack<2>().test_pack<7>().test_pack<16>()
.test_pack_u<1>().test_pack_u<2>().test_pack_u<7>().test_pack_u<16>()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<4>().test_extract<7>()
.test_rotate<0>().test_rotate<1>().test_rotate<4>().test_rotate<7>()
;
}
void test_hal_intrin_int16()
{
DUMP_ENTRY(v_int16);
TheTest<v_int16>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_addsub()
.test_arithm_wrap()
.test_mul()
.test_mul_expand()
.test_cmp()
.test_shift<1>()
.test_shift<8>()
.test_dot_prod()
.test_logic()
.test_min_max()
.test_absdiff()
.test_absdiffs()
.test_abs()
.test_reduce()
.test_mask()
.test_popcount()
.test_pack<1>().test_pack<2>().test_pack<7>().test_pack<16>()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<4>().test_extract<7>()
.test_rotate<0>().test_rotate<1>().test_rotate<4>().test_rotate<7>()
;
}
//============= 32-bit integer =====================================================================
void test_hal_intrin_uint32()
{
DUMP_ENTRY(v_uint32);
TheTest<v_uint32>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_addsub()
.test_mul()
.test_mul_expand()
.test_cmp()
.test_shift<1>()
.test_shift<8>()
.test_logic()
.test_min_max()
.test_absdiff()
.test_reduce()
.test_mask()
.test_popcount()
.test_pack<1>().test_pack<2>().test_pack<15>().test_pack<32>()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<2>().test_extract<3>()
.test_rotate<0>().test_rotate<1>().test_rotate<2>().test_rotate<3>()
.test_transpose()
;
}
void test_hal_intrin_int32()
{
DUMP_ENTRY(v_int32);
TheTest<v_int32>()
.test_loadstore()
.test_interleave()
.test_expand()
.test_addsub()
.test_mul()
.test_abs()
.test_cmp()
.test_popcount()
.test_shift<1>().test_shift<8>()
.test_logic()
.test_min_max()
.test_absdiff()
.test_reduce()
.test_mask()
.test_pack<1>().test_pack<2>().test_pack<15>().test_pack<32>()
.test_unpack()
.test_extract<0>().test_extract<1>().test_extract<2>().test_extract<3>()
.test_rotate<0>().test_rotate<1>().test_rotate<2>().test_rotate<3>()
.test_float_cvt32()
.test_float_cvt64()
.test_transpose()
;
}
//============= 64-bit integer =====================================================================
void test_hal_intrin_uint64()
{
DUMP_ENTRY(v_uint64);
TheTest<v_uint64>()
.test_loadstore()
.test_addsub()
.test_shift<1>().test_shift<8>()
.test_logic()
.test_extract<0>().test_extract<1>()
.test_rotate<0>().test_rotate<1>()
;
}
void test_hal_intrin_int64()
{
DUMP_ENTRY(v_int64);
TheTest<v_int64>()
.test_loadstore()
.test_addsub()
.test_shift<1>().test_shift<8>()
.test_logic()
.test_extract<0>().test_extract<1>()
.test_rotate<0>().test_rotate<1>()
;
}
//============= Floating point =====================================================================
void test_hal_intrin_float32()
{
DUMP_ENTRY(v_float32);
TheTest<v_float32>()
.test_loadstore()
.test_interleave()
.test_interleave_2channel()
.test_addsub()
.test_mul()
.test_div()
.test_cmp()
.test_sqrt_abs()
.test_min_max()
.test_float_absdiff()
.test_reduce()
.test_mask()
.test_unpack()
.test_float_math()
.test_float_cvt64()
.test_matmul()
.test_transpose()
.test_reduce_sum4()
.test_extract<0>().test_extract<1>().test_extract<2>().test_extract<3>()
.test_rotate<0>().test_rotate<1>().test_rotate<2>().test_rotate<3>()
;
#if CV_SIMD_WIDTH == 32
TheTest<v_float32>()
.test_extract<4>().test_extract<5>().test_extract<6>().test_extract<7>()
.test_rotate<4>().test_rotate<5>().test_rotate<6>().test_rotate<7>()
;
#endif
}
void test_hal_intrin_float64()
{
DUMP_ENTRY(v_float64);
#if CV_SIMD_64F
TheTest<v_float64>()
.test_loadstore()
.test_addsub()
.test_mul()
.test_div()
.test_cmp()
.test_sqrt_abs()
.test_min_max()
.test_float_absdiff()
.test_mask()
.test_unpack()
.test_float_math()
.test_float_cvt32()
.test_extract<0>().test_extract<1>()
.test_rotate<0>().test_rotate<1>()
;
#if CV_SIMD_WIDTH == 32
TheTest<v_float64>()
.test_extract<2>().test_extract<3>()
.test_rotate<2>().test_rotate<3>()
;
#endif //CV_SIMD256
#endif
}
#if CV_FP16
void test_hal_intrin_float16()
{
DUMP_ENTRY(v_float16);
#if CV_FP16
TheTest<v_float32>().test_loadstore_fp16_f32();
#endif
#if CV_SIMD_FP16
TheTest<v_float16>()
.test_loadstore_fp16()
.test_float_cvt_fp16()
;
#endif
}
#endif
/*#if defined(CV_CPU_DISPATCH_MODE_FP16) && CV_CPU_DISPATCH_MODE == FP16
void test_hal_intrin_float16()
{
TheTest<v_float16>()
.test_loadstore_fp16()
.test_float_cvt_fp16()
;
}
#endif*/
#endif //CV_CPU_OPTIMIZATION_DECLARATIONS_ONLY
//CV_CPU_OPTIMIZATION_NAMESPACE_END
//}}} // namespace
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