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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 19:33:14 +0000 |
commit | 36d22d82aa202bb199967e9512281e9a53db42c9 (patch) | |
tree | 105e8c98ddea1c1e4784a60a5a6410fa416be2de /media/libjpeg/simd/arm/jfdctint-neon.c | |
parent | Initial commit. (diff) | |
download | firefox-esr-upstream.tar.xz firefox-esr-upstream.zip |
Adding upstream version 115.7.0esr.upstream/115.7.0esrupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'media/libjpeg/simd/arm/jfdctint-neon.c')
-rw-r--r-- | media/libjpeg/simd/arm/jfdctint-neon.c | 376 |
1 files changed, 376 insertions, 0 deletions
diff --git a/media/libjpeg/simd/arm/jfdctint-neon.c b/media/libjpeg/simd/arm/jfdctint-neon.c new file mode 100644 index 0000000000..ccfc07b15d --- /dev/null +++ b/media/libjpeg/simd/arm/jfdctint-neon.c @@ -0,0 +1,376 @@ +/* + * jfdctint-neon.c - accurate integer FDCT (Arm Neon) + * + * Copyright (C) 2020, Arm Limited. All Rights Reserved. + * Copyright (C) 2020, D. R. Commander. All Rights Reserved. + * + * This software is provided 'as-is', without any express or implied + * warranty. In no event will the authors be held liable for any damages + * arising from the use of this software. + * + * Permission is granted to anyone to use this software for any purpose, + * including commercial applications, and to alter it and redistribute it + * freely, subject to the following restrictions: + * + * 1. The origin of this software must not be misrepresented; you must not + * claim that you wrote the original software. If you use this software + * in a product, an acknowledgment in the product documentation would be + * appreciated but is not required. + * 2. Altered source versions must be plainly marked as such, and must not be + * misrepresented as being the original software. + * 3. This notice may not be removed or altered from any source distribution. + */ + +#define JPEG_INTERNALS +#include "../../jinclude.h" +#include "../../jpeglib.h" +#include "../../jsimd.h" +#include "../../jdct.h" +#include "../../jsimddct.h" +#include "../jsimd.h" +#include "align.h" +#include "neon-compat.h" + +#include <arm_neon.h> + + +/* jsimd_fdct_islow_neon() performs a slower but more accurate forward DCT + * (Discrete Cosine Transform) on one block of samples. It uses the same + * calculations and produces exactly the same output as IJG's original + * jpeg_fdct_islow() function, which can be found in jfdctint.c. + * + * Scaled integer constants are used to avoid floating-point arithmetic: + * 0.298631336 = 2446 * 2^-13 + * 0.390180644 = 3196 * 2^-13 + * 0.541196100 = 4433 * 2^-13 + * 0.765366865 = 6270 * 2^-13 + * 0.899976223 = 7373 * 2^-13 + * 1.175875602 = 9633 * 2^-13 + * 1.501321110 = 12299 * 2^-13 + * 1.847759065 = 15137 * 2^-13 + * 1.961570560 = 16069 * 2^-13 + * 2.053119869 = 16819 * 2^-13 + * 2.562915447 = 20995 * 2^-13 + * 3.072711026 = 25172 * 2^-13 + * + * See jfdctint.c for further details of the DCT algorithm. Where possible, + * the variable names and comments here in jsimd_fdct_islow_neon() match up + * with those in jpeg_fdct_islow(). + */ + +#define CONST_BITS 13 +#define PASS1_BITS 2 + +#define DESCALE_P1 (CONST_BITS - PASS1_BITS) +#define DESCALE_P2 (CONST_BITS + PASS1_BITS) + +#define F_0_298 2446 +#define F_0_390 3196 +#define F_0_541 4433 +#define F_0_765 6270 +#define F_0_899 7373 +#define F_1_175 9633 +#define F_1_501 12299 +#define F_1_847 15137 +#define F_1_961 16069 +#define F_2_053 16819 +#define F_2_562 20995 +#define F_3_072 25172 + + +ALIGN(16) static const int16_t jsimd_fdct_islow_neon_consts[] = { + F_0_298, -F_0_390, F_0_541, F_0_765, + -F_0_899, F_1_175, F_1_501, -F_1_847, + -F_1_961, F_2_053, -F_2_562, F_3_072 +}; + +void jsimd_fdct_islow_neon(DCTELEM *data) +{ + /* Load DCT constants. */ +#ifdef HAVE_VLD1_S16_X3 + const int16x4x3_t consts = vld1_s16_x3(jsimd_fdct_islow_neon_consts); +#else + /* GCC does not currently support the intrinsic vld1_<type>_x3(). */ + const int16x4_t consts1 = vld1_s16(jsimd_fdct_islow_neon_consts); + const int16x4_t consts2 = vld1_s16(jsimd_fdct_islow_neon_consts + 4); + const int16x4_t consts3 = vld1_s16(jsimd_fdct_islow_neon_consts + 8); + const int16x4x3_t consts = { { consts1, consts2, consts3 } }; +#endif + + /* Load an 8x8 block of samples into Neon registers. De-interleaving loads + * are used, followed by vuzp to transpose the block such that we have a + * column of samples per vector - allowing all rows to be processed at once. + */ + int16x8x4_t s_rows_0123 = vld4q_s16(data); + int16x8x4_t s_rows_4567 = vld4q_s16(data + 4 * DCTSIZE); + + int16x8x2_t cols_04 = vuzpq_s16(s_rows_0123.val[0], s_rows_4567.val[0]); + int16x8x2_t cols_15 = vuzpq_s16(s_rows_0123.val[1], s_rows_4567.val[1]); + int16x8x2_t cols_26 = vuzpq_s16(s_rows_0123.val[2], s_rows_4567.val[2]); + int16x8x2_t cols_37 = vuzpq_s16(s_rows_0123.val[3], s_rows_4567.val[3]); + + int16x8_t col0 = cols_04.val[0]; + int16x8_t col1 = cols_15.val[0]; + int16x8_t col2 = cols_26.val[0]; + int16x8_t col3 = cols_37.val[0]; + int16x8_t col4 = cols_04.val[1]; + int16x8_t col5 = cols_15.val[1]; + int16x8_t col6 = cols_26.val[1]; + int16x8_t col7 = cols_37.val[1]; + + /* Pass 1: process rows. */ + + int16x8_t tmp0 = vaddq_s16(col0, col7); + int16x8_t tmp7 = vsubq_s16(col0, col7); + int16x8_t tmp1 = vaddq_s16(col1, col6); + int16x8_t tmp6 = vsubq_s16(col1, col6); + int16x8_t tmp2 = vaddq_s16(col2, col5); + int16x8_t tmp5 = vsubq_s16(col2, col5); + int16x8_t tmp3 = vaddq_s16(col3, col4); + int16x8_t tmp4 = vsubq_s16(col3, col4); + + /* Even part */ + int16x8_t tmp10 = vaddq_s16(tmp0, tmp3); + int16x8_t tmp13 = vsubq_s16(tmp0, tmp3); + int16x8_t tmp11 = vaddq_s16(tmp1, tmp2); + int16x8_t tmp12 = vsubq_s16(tmp1, tmp2); + + col0 = vshlq_n_s16(vaddq_s16(tmp10, tmp11), PASS1_BITS); + col4 = vshlq_n_s16(vsubq_s16(tmp10, tmp11), PASS1_BITS); + + int16x8_t tmp12_add_tmp13 = vaddq_s16(tmp12, tmp13); + int32x4_t z1_l = + vmull_lane_s16(vget_low_s16(tmp12_add_tmp13), consts.val[0], 2); + int32x4_t z1_h = + vmull_lane_s16(vget_high_s16(tmp12_add_tmp13), consts.val[0], 2); + + int32x4_t col2_scaled_l = + vmlal_lane_s16(z1_l, vget_low_s16(tmp13), consts.val[0], 3); + int32x4_t col2_scaled_h = + vmlal_lane_s16(z1_h, vget_high_s16(tmp13), consts.val[0], 3); + col2 = vcombine_s16(vrshrn_n_s32(col2_scaled_l, DESCALE_P1), + vrshrn_n_s32(col2_scaled_h, DESCALE_P1)); + + int32x4_t col6_scaled_l = + vmlal_lane_s16(z1_l, vget_low_s16(tmp12), consts.val[1], 3); + int32x4_t col6_scaled_h = + vmlal_lane_s16(z1_h, vget_high_s16(tmp12), consts.val[1], 3); + col6 = vcombine_s16(vrshrn_n_s32(col6_scaled_l, DESCALE_P1), + vrshrn_n_s32(col6_scaled_h, DESCALE_P1)); + + /* Odd part */ + int16x8_t z1 = vaddq_s16(tmp4, tmp7); + int16x8_t z2 = vaddq_s16(tmp5, tmp6); + int16x8_t z3 = vaddq_s16(tmp4, tmp6); + int16x8_t z4 = vaddq_s16(tmp5, tmp7); + /* sqrt(2) * c3 */ + int32x4_t z5_l = vmull_lane_s16(vget_low_s16(z3), consts.val[1], 1); + int32x4_t z5_h = vmull_lane_s16(vget_high_s16(z3), consts.val[1], 1); + z5_l = vmlal_lane_s16(z5_l, vget_low_s16(z4), consts.val[1], 1); + z5_h = vmlal_lane_s16(z5_h, vget_high_s16(z4), consts.val[1], 1); + + /* sqrt(2) * (-c1+c3+c5-c7) */ + int32x4_t tmp4_l = vmull_lane_s16(vget_low_s16(tmp4), consts.val[0], 0); + int32x4_t tmp4_h = vmull_lane_s16(vget_high_s16(tmp4), consts.val[0], 0); + /* sqrt(2) * ( c1+c3-c5+c7) */ + int32x4_t tmp5_l = vmull_lane_s16(vget_low_s16(tmp5), consts.val[2], 1); + int32x4_t tmp5_h = vmull_lane_s16(vget_high_s16(tmp5), consts.val[2], 1); + /* sqrt(2) * ( c1+c3+c5-c7) */ + int32x4_t tmp6_l = vmull_lane_s16(vget_low_s16(tmp6), consts.val[2], 3); + int32x4_t tmp6_h = vmull_lane_s16(vget_high_s16(tmp6), consts.val[2], 3); + /* sqrt(2) * ( c1+c3-c5-c7) */ + int32x4_t tmp7_l = vmull_lane_s16(vget_low_s16(tmp7), consts.val[1], 2); + int32x4_t tmp7_h = vmull_lane_s16(vget_high_s16(tmp7), consts.val[1], 2); + + /* sqrt(2) * (c7-c3) */ + z1_l = vmull_lane_s16(vget_low_s16(z1), consts.val[1], 0); + z1_h = vmull_lane_s16(vget_high_s16(z1), consts.val[1], 0); + /* sqrt(2) * (-c1-c3) */ + int32x4_t z2_l = vmull_lane_s16(vget_low_s16(z2), consts.val[2], 2); + int32x4_t z2_h = vmull_lane_s16(vget_high_s16(z2), consts.val[2], 2); + /* sqrt(2) * (-c3-c5) */ + int32x4_t z3_l = vmull_lane_s16(vget_low_s16(z3), consts.val[2], 0); + int32x4_t z3_h = vmull_lane_s16(vget_high_s16(z3), consts.val[2], 0); + /* sqrt(2) * (c5-c3) */ + int32x4_t z4_l = vmull_lane_s16(vget_low_s16(z4), consts.val[0], 1); + int32x4_t z4_h = vmull_lane_s16(vget_high_s16(z4), consts.val[0], 1); + + z3_l = vaddq_s32(z3_l, z5_l); + z3_h = vaddq_s32(z3_h, z5_h); + z4_l = vaddq_s32(z4_l, z5_l); + z4_h = vaddq_s32(z4_h, z5_h); + + tmp4_l = vaddq_s32(tmp4_l, z1_l); + tmp4_h = vaddq_s32(tmp4_h, z1_h); + tmp4_l = vaddq_s32(tmp4_l, z3_l); + tmp4_h = vaddq_s32(tmp4_h, z3_h); + col7 = vcombine_s16(vrshrn_n_s32(tmp4_l, DESCALE_P1), + vrshrn_n_s32(tmp4_h, DESCALE_P1)); + + tmp5_l = vaddq_s32(tmp5_l, z2_l); + tmp5_h = vaddq_s32(tmp5_h, z2_h); + tmp5_l = vaddq_s32(tmp5_l, z4_l); + tmp5_h = vaddq_s32(tmp5_h, z4_h); + col5 = vcombine_s16(vrshrn_n_s32(tmp5_l, DESCALE_P1), + vrshrn_n_s32(tmp5_h, DESCALE_P1)); + + tmp6_l = vaddq_s32(tmp6_l, z2_l); + tmp6_h = vaddq_s32(tmp6_h, z2_h); + tmp6_l = vaddq_s32(tmp6_l, z3_l); + tmp6_h = vaddq_s32(tmp6_h, z3_h); + col3 = vcombine_s16(vrshrn_n_s32(tmp6_l, DESCALE_P1), + vrshrn_n_s32(tmp6_h, DESCALE_P1)); + + tmp7_l = vaddq_s32(tmp7_l, z1_l); + tmp7_h = vaddq_s32(tmp7_h, z1_h); + tmp7_l = vaddq_s32(tmp7_l, z4_l); + tmp7_h = vaddq_s32(tmp7_h, z4_h); + col1 = vcombine_s16(vrshrn_n_s32(tmp7_l, DESCALE_P1), + vrshrn_n_s32(tmp7_h, DESCALE_P1)); + + /* Transpose to work on columns in pass 2. */ + int16x8x2_t cols_01 = vtrnq_s16(col0, col1); + int16x8x2_t cols_23 = vtrnq_s16(col2, col3); + int16x8x2_t cols_45 = vtrnq_s16(col4, col5); + int16x8x2_t cols_67 = vtrnq_s16(col6, col7); + + int32x4x2_t cols_0145_l = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[0]), + vreinterpretq_s32_s16(cols_45.val[0])); + int32x4x2_t cols_0145_h = vtrnq_s32(vreinterpretq_s32_s16(cols_01.val[1]), + vreinterpretq_s32_s16(cols_45.val[1])); + int32x4x2_t cols_2367_l = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[0]), + vreinterpretq_s32_s16(cols_67.val[0])); + int32x4x2_t cols_2367_h = vtrnq_s32(vreinterpretq_s32_s16(cols_23.val[1]), + vreinterpretq_s32_s16(cols_67.val[1])); + + int32x4x2_t rows_04 = vzipq_s32(cols_0145_l.val[0], cols_2367_l.val[0]); + int32x4x2_t rows_15 = vzipq_s32(cols_0145_h.val[0], cols_2367_h.val[0]); + int32x4x2_t rows_26 = vzipq_s32(cols_0145_l.val[1], cols_2367_l.val[1]); + int32x4x2_t rows_37 = vzipq_s32(cols_0145_h.val[1], cols_2367_h.val[1]); + + int16x8_t row0 = vreinterpretq_s16_s32(rows_04.val[0]); + int16x8_t row1 = vreinterpretq_s16_s32(rows_15.val[0]); + int16x8_t row2 = vreinterpretq_s16_s32(rows_26.val[0]); + int16x8_t row3 = vreinterpretq_s16_s32(rows_37.val[0]); + int16x8_t row4 = vreinterpretq_s16_s32(rows_04.val[1]); + int16x8_t row5 = vreinterpretq_s16_s32(rows_15.val[1]); + int16x8_t row6 = vreinterpretq_s16_s32(rows_26.val[1]); + int16x8_t row7 = vreinterpretq_s16_s32(rows_37.val[1]); + + /* Pass 2: process columns. */ + + tmp0 = vaddq_s16(row0, row7); + tmp7 = vsubq_s16(row0, row7); + tmp1 = vaddq_s16(row1, row6); + tmp6 = vsubq_s16(row1, row6); + tmp2 = vaddq_s16(row2, row5); + tmp5 = vsubq_s16(row2, row5); + tmp3 = vaddq_s16(row3, row4); + tmp4 = vsubq_s16(row3, row4); + + /* Even part */ + tmp10 = vaddq_s16(tmp0, tmp3); + tmp13 = vsubq_s16(tmp0, tmp3); + tmp11 = vaddq_s16(tmp1, tmp2); + tmp12 = vsubq_s16(tmp1, tmp2); + + row0 = vrshrq_n_s16(vaddq_s16(tmp10, tmp11), PASS1_BITS); + row4 = vrshrq_n_s16(vsubq_s16(tmp10, tmp11), PASS1_BITS); + + tmp12_add_tmp13 = vaddq_s16(tmp12, tmp13); + z1_l = vmull_lane_s16(vget_low_s16(tmp12_add_tmp13), consts.val[0], 2); + z1_h = vmull_lane_s16(vget_high_s16(tmp12_add_tmp13), consts.val[0], 2); + + int32x4_t row2_scaled_l = + vmlal_lane_s16(z1_l, vget_low_s16(tmp13), consts.val[0], 3); + int32x4_t row2_scaled_h = + vmlal_lane_s16(z1_h, vget_high_s16(tmp13), consts.val[0], 3); + row2 = vcombine_s16(vrshrn_n_s32(row2_scaled_l, DESCALE_P2), + vrshrn_n_s32(row2_scaled_h, DESCALE_P2)); + + int32x4_t row6_scaled_l = + vmlal_lane_s16(z1_l, vget_low_s16(tmp12), consts.val[1], 3); + int32x4_t row6_scaled_h = + vmlal_lane_s16(z1_h, vget_high_s16(tmp12), consts.val[1], 3); + row6 = vcombine_s16(vrshrn_n_s32(row6_scaled_l, DESCALE_P2), + vrshrn_n_s32(row6_scaled_h, DESCALE_P2)); + + /* Odd part */ + z1 = vaddq_s16(tmp4, tmp7); + z2 = vaddq_s16(tmp5, tmp6); + z3 = vaddq_s16(tmp4, tmp6); + z4 = vaddq_s16(tmp5, tmp7); + /* sqrt(2) * c3 */ + z5_l = vmull_lane_s16(vget_low_s16(z3), consts.val[1], 1); + z5_h = vmull_lane_s16(vget_high_s16(z3), consts.val[1], 1); + z5_l = vmlal_lane_s16(z5_l, vget_low_s16(z4), consts.val[1], 1); + z5_h = vmlal_lane_s16(z5_h, vget_high_s16(z4), consts.val[1], 1); + + /* sqrt(2) * (-c1+c3+c5-c7) */ + tmp4_l = vmull_lane_s16(vget_low_s16(tmp4), consts.val[0], 0); + tmp4_h = vmull_lane_s16(vget_high_s16(tmp4), consts.val[0], 0); + /* sqrt(2) * ( c1+c3-c5+c7) */ + tmp5_l = vmull_lane_s16(vget_low_s16(tmp5), consts.val[2], 1); + tmp5_h = vmull_lane_s16(vget_high_s16(tmp5), consts.val[2], 1); + /* sqrt(2) * ( c1+c3+c5-c7) */ + tmp6_l = vmull_lane_s16(vget_low_s16(tmp6), consts.val[2], 3); + tmp6_h = vmull_lane_s16(vget_high_s16(tmp6), consts.val[2], 3); + /* sqrt(2) * ( c1+c3-c5-c7) */ + tmp7_l = vmull_lane_s16(vget_low_s16(tmp7), consts.val[1], 2); + tmp7_h = vmull_lane_s16(vget_high_s16(tmp7), consts.val[1], 2); + + /* sqrt(2) * (c7-c3) */ + z1_l = vmull_lane_s16(vget_low_s16(z1), consts.val[1], 0); + z1_h = vmull_lane_s16(vget_high_s16(z1), consts.val[1], 0); + /* sqrt(2) * (-c1-c3) */ + z2_l = vmull_lane_s16(vget_low_s16(z2), consts.val[2], 2); + z2_h = vmull_lane_s16(vget_high_s16(z2), consts.val[2], 2); + /* sqrt(2) * (-c3-c5) */ + z3_l = vmull_lane_s16(vget_low_s16(z3), consts.val[2], 0); + z3_h = vmull_lane_s16(vget_high_s16(z3), consts.val[2], 0); + /* sqrt(2) * (c5-c3) */ + z4_l = vmull_lane_s16(vget_low_s16(z4), consts.val[0], 1); + z4_h = vmull_lane_s16(vget_high_s16(z4), consts.val[0], 1); + + z3_l = vaddq_s32(z3_l, z5_l); + z3_h = vaddq_s32(z3_h, z5_h); + z4_l = vaddq_s32(z4_l, z5_l); + z4_h = vaddq_s32(z4_h, z5_h); + + tmp4_l = vaddq_s32(tmp4_l, z1_l); + tmp4_h = vaddq_s32(tmp4_h, z1_h); + tmp4_l = vaddq_s32(tmp4_l, z3_l); + tmp4_h = vaddq_s32(tmp4_h, z3_h); + row7 = vcombine_s16(vrshrn_n_s32(tmp4_l, DESCALE_P2), + vrshrn_n_s32(tmp4_h, DESCALE_P2)); + + tmp5_l = vaddq_s32(tmp5_l, z2_l); + tmp5_h = vaddq_s32(tmp5_h, z2_h); + tmp5_l = vaddq_s32(tmp5_l, z4_l); + tmp5_h = vaddq_s32(tmp5_h, z4_h); + row5 = vcombine_s16(vrshrn_n_s32(tmp5_l, DESCALE_P2), + vrshrn_n_s32(tmp5_h, DESCALE_P2)); + + tmp6_l = vaddq_s32(tmp6_l, z2_l); + tmp6_h = vaddq_s32(tmp6_h, z2_h); + tmp6_l = vaddq_s32(tmp6_l, z3_l); + tmp6_h = vaddq_s32(tmp6_h, z3_h); + row3 = vcombine_s16(vrshrn_n_s32(tmp6_l, DESCALE_P2), + vrshrn_n_s32(tmp6_h, DESCALE_P2)); + + tmp7_l = vaddq_s32(tmp7_l, z1_l); + tmp7_h = vaddq_s32(tmp7_h, z1_h); + tmp7_l = vaddq_s32(tmp7_l, z4_l); + tmp7_h = vaddq_s32(tmp7_h, z4_h); + row1 = vcombine_s16(vrshrn_n_s32(tmp7_l, DESCALE_P2), + vrshrn_n_s32(tmp7_h, DESCALE_P2)); + + vst1q_s16(data + 0 * DCTSIZE, row0); + vst1q_s16(data + 1 * DCTSIZE, row1); + vst1q_s16(data + 2 * DCTSIZE, row2); + vst1q_s16(data + 3 * DCTSIZE, row3); + vst1q_s16(data + 4 * DCTSIZE, row4); + vst1q_s16(data + 5 * DCTSIZE, row5); + vst1q_s16(data + 6 * DCTSIZE, row6); + vst1q_s16(data + 7 * DCTSIZE, row7); +} |