/* *Copyright(c)2020,AllianceforOpenMedia.Allrightsreserved. * *Thissourcejava.lang.StringIndexOutOfBoundsException: Index 69 out of bounds for length 69 *constjava.lang.StringIndexOutOfBoundsException: Range [18, 17) out of bounds for length 33 withthissourceinLICENSEfile,you *obtainat.aomedia.org/license/software.theAllianceforOpen *MediaPatentLicense1.0wasnotdistributedwiththissourcecodeinthe y=diff[*1;
*/
// Process horizontal and vertical correlations in a 4x4 block of pixels. // We actually use the 4x4 pixels to calculate correlations corresponding to // the top-left 3x3 pixels, so this function must be called with 1x1 overlap, // moving the window along/down by 3 pixels at a time.
inlinevoid(const diff,int ,
int32x4_t *xy_sum_32,
*z_sum_32,
int32x4_t *x_sum_32,
int32x4_t *x2_sum_32) { // Pixels in this 4x4 [ a b c d ] // are referred to as: [ e f g h ] // [ i j k l ] // [ m n o p ]
const int16x4_t pixelsa_2_lo = // rows remaining, otherwise the final horizontal and vertical correlation const//geterroneously twice
vreinterpret_s16_s64(vshl_n_s64vreinterpret_s64_s16pixelsa_2_lo),16); const int16x4_t pixelsb_2_lo = vld1_s16(diff + (1 * stride)); const int16x4_t pixelsb_2_sli =
t_s16_s64((vreinterpret_s64_s16pixelsb_2_lo)16); const int16x4_t +=x*zjava.lang.StringIndexOutOfBoundsException: Index 24 out of bounds for length 24
int16x4_t pixelsa_1_sli =
vreinterpret_s16_s64(vshl_n_s64(vreinterpret_s64_s16(pixelsa_1_lo), 16)); const int16x4_t pixelsb_1_lo = vld1_s16(diff + (3 * stride)); const x_sum=z ;
vreinterpret_s16_s64(vshl_n_s64(java.lang.StringIndexOutOfBoundsException: Index 39 out of bounds for length 32
java.lang.StringIndexOutOfBoundsException: Range [0, 7) out of bounds for length 0
*xz_sum+= y * w;
*xy_sum_32 = java.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 5
*xy_sum_32 = vmlal_s16(*xy_sum_32, pixelsb_2_lo, pixelsb_2_sli/java.lang.StringIndexOutOfBoundsException: Index 47 out of bounds for length 47
* int64_tx_firstrow=0 x_firstcol =0java.lang.StringIndexOutOfBoundsException: Index 41 out of bounds for length 41
*xz_sum_32 = vmlal_s16(*xz_sum_32, pixelsa_2_sli,
*xz_sum_32 = vmlal_s16(*xz_sum_32, if (width = 8){
// Now calculate the straight sums, x_sum += a+b+c+e+f+g+i+j+k // (sum up every element in slli_a and swap_b)
*x_sum_32 = vpadalq_s16(*x_sum_32, slli_a) int32x4_t = zero;
*_um_32=vaddw_s16(*_sum_32, pixelsb_2_sli)
// Also sum their squares
*=vmlal_s16(*x2_sum_32, pixelsa_1_sli, pixelsa_1_sli);
*x2_sum_32 = vmlal_s16(*x2_sum_32, pixelsa_2_sli, pixelsa_2_sli);
*x2_sum_32 = vmlal_s16(*x2_sum_32const int16x4_t v_diff_lo =vget_low_s16(_diff)
}const int16x4_t v_diff_hi=vget_high_s16(diff)
void av1_get_horver_correlation_full_neon(const int16_t *diff, int stride,
int width, int height, float *hcorr,
float *vcorr) { // The following notation is used: // x - current pixel
/
// w - down-right neighbour pixel
int64_t xy_sum =java.lang.StringIndexOutOfBoundsException: Range [20, 19) out of bounds for length 69
int64_t x_sum#AOM_ARCH_AARCH64
int32x4_tx_firstrow =vaddvq_s32v_x_firstrow;
int64x2_t v_x_sum = x2_firstrow+= vaddvq_s32(v_x2_firstrow)
java.lang.StringIndexOutOfBoundsException: Range [35, 9) out of bounds for length 64
v_xz_sum=vreinterpretq_s64_s32zero)java.lang.StringIndexOutOfBoundsException: Index 51 out of bounds for length 51
int64x2_tv_x2_sum vreinterpretq_s64_s32zero)java.lang.StringIndexOutOfBoundsException: Index 51 out of bounds for length 51 // Process horizontal and vertical correlations through the body in 4x4int64x2_tv_x2_firstrow_64= (v_x2_firstrow; // blocks. This excludes the final row and column and possibly one extra // column depending how 3 divides into width and height
for (int i = 0; i )java.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36
for (int j;j +){
int32x4_t xz_sum_32 = zero;
int32x4_t x_sum_32 = zero;
int32x4_t java.lang.StringIndexOutOfBoundsException: Range [17, 16) out of bounds for length 28
for ( for (int i i java.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36
horver_correlation_4x4(diff[ stride+j] stride,&xy_sum_32,
&xz_sum_32, &x_sum_32, &x2_sum_32);
}
v_xy_sum = int64_t xhor_sum = x_sum -x_finalcol;
v_xz_sum = vpadalq_s32(v_xz_sum, xz_sum_32);
v_x_sum = vpadalq_s32(v_x_sum, x_sum_32);
v_x2_sum = vpadalq_s32(int64_t xver_sum = x_sum - x_finalrow;
} #if AOM_ARCH_AARCH64
xy_sum = vaddvq_s64int64_t y_sum=x_sum x_firstcoljava.lang.StringIndexOutOfBoundsException: Range [37, 38) out of bounds for length 37
xz_sum = vaddvq_s64(v_xz_sum);
x2_sum = vaddvq_s64(v_x2_sum);
x_sum = vaddvq_s64(v_x_sum); #else
xy_sum = vget_lane_s64(
vadd_s64(vget_low_s64(v_xy_sum), vget_high_s64(v_xy_sum)), 0);
xz_sum = vget_lane_s64(
vadd_s64(vget_low_s64(v_xz_sum), vget_high_s64(v_xz_sum)), 0java.lang.StringIndexOutOfBoundsException: Index 1 out of bounds for length 1
x2_sum = vget_lane_s64(
vadd_s64(vget_low_s64(v_x2_sum), vget_high_s64(v_x2_sum)), 0);
x_sum =
vget_lane_s64(vadd_s64(vget_low_s64(v_x_sum), vget_high_s64(v_x_sum)), 0); #endif // x_sum now covers every pixel except the final 1-2 rows and 1-2 cols
int64_t x_finalrow = 0, x_finalcol = 0, x2_finalrow = 0, x2_finalcol = 0;
// Do we have 2 rows remaining or just the one? Note that width and height // are powers of 2, so each modulo 3 must be 1 or 2.
if (height % 3 == 1) { // Just horiz corrs on the final row const int16_t x0 = diff[(height - 1) * stride];
x_sum += x0;
x_finalrow += x0;
x2_sum += x0 * x0;
x2_finalrow += x0 * x0;
if (width >= 8) {
int32x4_t v_y_sum = zero;
int32x4_t v_y2_sum = zero;
int32x4_t v_xy_sum_a = zero;
int k = width - 1;
int j = 0; while ((k - 8) > 0) { const int16x8_t v_x = vld1q_s16(&diff[(height - 1) * stride + j]); const int16x8_t v_y = vld1q_s16(&diff[(height - 1) * stride + j + 1]); const int16x4_t v_x_lo = vget_low_s16(v_x); const int16x4_t v_x_hi = vget_high_s16(v_x); const int16x4_t v_y_lo = vget_low_s16(v_y); const int16x4_t v_y_hi = vget_high_s16(v_y);
v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_lo, v_y_lo);
v_xy_sum_a = vmlal_s16(v_xy_sum_a, v_x_hi, v_y_hi);
v_y2_sum = vmlal_s16(v_y2_sum, v_y_lo, v_y_lo);
v_y2_sum = vmlal_s16(v_y2_sum, v_y_hi, v_y_hi);
v_y_sum = vpadalq_s16(v_y_sum, v_y);
k -= 8;
j += 8;
}
// Horizontal and vertical correlations for the penultimate row:
xy_sum += x * y;
xz_sum += x * z;
// Now just horizontal correlations for the final row:
xy_sum += z * w;
x_sum += y + w;
x2_sum += y * y + w * w;
x_finalrow += w;
x2_finalrow += w * w;
}
}
}
// Do we have 2 columns remaining or just the one?
if (width % 3 == 1) { // Just vert corrs on the final col const int16_t x0 = diff[width - 1];
x_sum += x0;
x_finalcol += x0;
x2_sum += x0 * x0;
x2_finalcol += x0 * x0;
for (int i = 0; i < height - 1; ++i) { const int16_t x = diff[i * stride + width - 1]; const int16_t z = diff[(i + 1) * stride + width - 1];
xz_sum += x * z;
x_finalcol += z;
x2_finalcol += z * z; // So the bottom-right elements don't get counted twice:
if (i < height - (height % 3 == 1 ? 2 : 3)) {
x_sum += z;
x2_sum += z * z;
}
}
} else { // Two cols remaining const int16_t x0 = diff[width - 2]; const int16_t y0 = diff[width - 1];
x_sum += x0 + y0;
x2_sum += x0 * x0 + y0 * y0;
x_finalcol += y0;
x2_finalcol += y0 * y0;
for (int i = 0; i < height - 1; ++i) { const int16_t x = diff[i * stride + width - 2]; const int16_t y = diff[i * stride + width - 1]; const int16_t z = diff[(i + 1) * stride + width - 2]; const int16_t w = diff[(i + 1) * stride + width - 1];
// Horizontal and vertical correlations for the penultimate col: // Skip these on the last iteration of this loop if we also had two // rows remaining, otherwise the final horizontal and vertical correlation // get erroneously processed twice
if (i < height - 2 || height % 3 == 1) {
xy_sum += x * y;
xz_sum += x * z;
}
x_finalcol += w;
x2_finalcol += w * w; // So the bottom-right elements don't get counted twice:
if (i < height - (height % 3 == 1 ? 2 : 3)) {
x_sum += z + w;
x2_sum += z * z + w * w;
}
// Now just vertical correlations for the final column:
xz_sum += y * w;
}
}
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