SSE _mm_movemask_epi8 equivalent method for ARM NEON

问题

I decided to continue Fast corners optimisation and stucked at _mm_movemask_epi8 SSE instruction. How can i rewrite it for ARM Neon with uint8x16_t input?

回答1:

I know this post is quite outdated but I found it useful to give my (validated) solution. It assumes all ones/all zeroes in every lane of the Input argument.

const uint8_t __attribute__ ((aligned (16))) _Powers[16]= 
    { 1, 2, 4, 8, 16, 32, 64, 128, 1, 2, 4, 8, 16, 32, 64, 128 };

// Set the powers of 2 (do it once for all, if applicable)
uint8x16_t Powers= vld1q_u8(_Powers);

// Compute the mask from the input
uint64x2_t Mask= vpaddlq_u32(vpaddlq_u16(vpaddlq_u8(vandq_u8(Input, Powers))));

// Get the resulting bytes
uint16_t Output;
vst1q_lane_u8((uint8_t*)&Output + 0, (uint8x16_t)Mask, 0);
vst1q_lane_u8((uint8_t*)&Output + 1, (uint8x16_t)Mask, 8);

(Mind http://gcc.gnu.org/bugzilla/show_bug.cgi?id=47553, anyway.)

Similarly to Michael, the trick is to form the powers of the indexes of the non-null entries, and to sum them pairwise three times. This must be done with increasing data size to double the stride on every addition. You reduce from 2 x 8 8-bit entries to 2 x 4 16-bit, then 2 x 2 32-bit and 2 x 1 64-bit. The low byte of these two numbers gives the solution. I don't think there is an easy way to pack them together to form a single short value using NEON.

Takes 6 NEON instructions if the input is in the suitable form and the powers can be preloaded.

回答2:

The obvious solution seems to be completely missed here.

// Use shifts to collect all of the sign bits.
// I'm not sure if this works on big endian, but big endian NEON is very
// rare.
int vmovmaskq_u8(uint8x16_t input)
{
    // Example input (half scale):
    // 0x89 FF 1D C0 00 10 99 33

    // Shift out everything but the sign bits
    // 0x01 01 00 01 00 00 01 00
    uint16x8_t high_bits = vreinterpretq_u16_u8(vshrq_n_u8(input, 7));

    // Merge the even lanes together with vsra. The '??' bytes are garbage.
    // vsri could also be used, but it is slightly slower on aarch64.
    // 0x??03 ??02 ??00 ??01
    uint32x4_t paired16 = vreinterpretq_u32_u16(
                              vsraq_n_u16(high_bits, high_bits, 7));
    // Repeat with wider lanes.
    // 0x??????0B ??????04
    uint64x2_t paired32 = vreinterpretq_u64_u32(
                              vsraq_n_u32(paired16, paired16, 14));
    // 0x??????????????4B
    uint8x16_t paired64 = vreinterpretq_u8_u64(
                              vsraq_n_u64(paired32, paired32, 28));
    // Extract the low 8 bits from each lane and join.
    // 0x4B
    return vgetq_lane_u8(paired64, 0) | ((int)vgetq_lane_u8(paired64, 8) << 8);
}

回答3:

after some tests it looks like following code works correct:

int32_t _mm_movemask_epi8_neon(uint8x16_t input)
{
    const int8_t __attribute__ ((aligned (16))) xr[8] = {-7,-6,-5,-4,-3,-2,-1,0};
    uint8x8_t mask_and = vdup_n_u8(0x80);
    int8x8_t mask_shift = vld1_s8(xr);

    uint8x8_t lo = vget_low_u8(input);
    uint8x8_t hi = vget_high_u8(input);

    lo = vand_u8(lo, mask_and);
    lo = vshl_u8(lo, mask_shift);

    hi = vand_u8(hi, mask_and);
    hi = vshl_u8(hi, mask_shift);

    lo = vpadd_u8(lo,lo);
    lo = vpadd_u8(lo,lo);
    lo = vpadd_u8(lo,lo);

    hi = vpadd_u8(hi,hi);
    hi = vpadd_u8(hi,hi);
    hi = vpadd_u8(hi,hi);

    return ((hi[0] << 8) | (lo[0] & 0xFF));
}

回答4:

Note that I haven't tested any of this, but something like this might work:

X := the vector that you want to create the mask from
A := 0x808080808080...
B := 0x00FFFEFDFCFB...  (i.e. 0,-1,-2,-3,...)

X = vand_u8(X, A);  // Keep d7 of each byte in X
X = vshl_u8(X, B);  // X[7]>>=0; X[6]>>=1; X[5]>>=2; ...
// Each byte of X now contains its msb shifted 7-N bits to the right, where N
// is the byte index.
// Do 3 pairwise adds in order to pack all these into X[0]
X = vpadd_u8(X, X); 
X = vpadd_u8(X, X); 
X = vpadd_u8(X, X);
// X[0] should now contain the mask. Clear the remaining bytes if necessary

This would need to be repeated once to process a 128-bit vector, since vpadd only works on 64-bit vectors.

来源：https://stackoverflow.com/questions/11870910/sse-mm-movemask-epi8-equivalent-method-for-arm-neon

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