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1077 lines
41 KiB
C
1077 lines
41 KiB
C
// Copyright 2012 Google Inc. All Rights Reserved.
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//
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// Use of this source code is governed by a BSD-style license
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// that can be found in the COPYING file in the root of the source
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// tree. An additional intellectual property rights grant can be found
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// in the file PATENTS. All contributing project authors may
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// be found in the AUTHORS file in the root of the source tree.
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// -----------------------------------------------------------------------------
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//
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// ARM NEON version of speed-critical encoding functions.
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//
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// adapted from libvpx (http://www.webmproject.org/code/)
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#include "./dsp.h"
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#if defined(WEBP_USE_NEON)
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#include <assert.h>
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#include "./neon.h"
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#include "../enc/vp8enci.h"
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//------------------------------------------------------------------------------
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// Transforms (Paragraph 14.4)
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// Inverse transform.
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// This code is pretty much the same as TransformOne in the dec_neon.c, except
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// for subtraction to *ref. See the comments there for algorithmic explanations.
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static const int16_t kC1 = 20091;
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static const int16_t kC2 = 17734; // half of kC2, actually. See comment above.
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// This code works but is *slower* than the inlined-asm version below
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// (with gcc-4.6). So we disable it for now. Later, it'll be conditional to
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// USE_INTRINSICS define.
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// With gcc-4.8, it's a little faster speed than inlined-assembly.
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#if defined(USE_INTRINSICS)
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// Treats 'v' as an uint8x8_t and zero extends to an int16x8_t.
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static WEBP_INLINE int16x8_t ConvertU8ToS16(uint32x2_t v) {
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return vreinterpretq_s16_u16(vmovl_u8(vreinterpret_u8_u32(v)));
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}
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// Performs unsigned 8b saturation on 'dst01' and 'dst23' storing the result
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// to the corresponding rows of 'dst'.
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static WEBP_INLINE void SaturateAndStore4x4(uint8_t* const dst,
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const int16x8_t dst01,
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const int16x8_t dst23) {
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// Unsigned saturate to 8b.
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const uint8x8_t dst01_u8 = vqmovun_s16(dst01);
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const uint8x8_t dst23_u8 = vqmovun_s16(dst23);
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// Store the results.
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vst1_lane_u32((uint32_t*)(dst + 0 * BPS), vreinterpret_u32_u8(dst01_u8), 0);
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vst1_lane_u32((uint32_t*)(dst + 1 * BPS), vreinterpret_u32_u8(dst01_u8), 1);
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vst1_lane_u32((uint32_t*)(dst + 2 * BPS), vreinterpret_u32_u8(dst23_u8), 0);
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vst1_lane_u32((uint32_t*)(dst + 3 * BPS), vreinterpret_u32_u8(dst23_u8), 1);
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}
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static WEBP_INLINE void Add4x4(const int16x8_t row01, const int16x8_t row23,
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const uint8_t* const ref, uint8_t* const dst) {
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uint32x2_t dst01 = vdup_n_u32(0);
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uint32x2_t dst23 = vdup_n_u32(0);
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// Load the source pixels.
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dst01 = vld1_lane_u32((uint32_t*)(ref + 0 * BPS), dst01, 0);
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dst23 = vld1_lane_u32((uint32_t*)(ref + 2 * BPS), dst23, 0);
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dst01 = vld1_lane_u32((uint32_t*)(ref + 1 * BPS), dst01, 1);
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dst23 = vld1_lane_u32((uint32_t*)(ref + 3 * BPS), dst23, 1);
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{
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// Convert to 16b.
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const int16x8_t dst01_s16 = ConvertU8ToS16(dst01);
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const int16x8_t dst23_s16 = ConvertU8ToS16(dst23);
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// Descale with rounding.
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const int16x8_t out01 = vrsraq_n_s16(dst01_s16, row01, 3);
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const int16x8_t out23 = vrsraq_n_s16(dst23_s16, row23, 3);
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// Add the inverse transform.
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SaturateAndStore4x4(dst, out01, out23);
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}
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}
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static WEBP_INLINE void Transpose8x2(const int16x8_t in0, const int16x8_t in1,
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int16x8x2_t* const out) {
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// a0 a1 a2 a3 | b0 b1 b2 b3 => a0 b0 c0 d0 | a1 b1 c1 d1
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// c0 c1 c2 c3 | d0 d1 d2 d3 a2 b2 c2 d2 | a3 b3 c3 d3
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const int16x8x2_t tmp0 = vzipq_s16(in0, in1); // a0 c0 a1 c1 a2 c2 ...
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// b0 d0 b1 d1 b2 d2 ...
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*out = vzipq_s16(tmp0.val[0], tmp0.val[1]);
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}
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static WEBP_INLINE void TransformPass(int16x8x2_t* const rows) {
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// {rows} = in0 | in4
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// in8 | in12
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// B1 = in4 | in12
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const int16x8_t B1 =
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vcombine_s16(vget_high_s16(rows->val[0]), vget_high_s16(rows->val[1]));
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// C0 = kC1 * in4 | kC1 * in12
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// C1 = kC2 * in4 | kC2 * in12
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const int16x8_t C0 = vsraq_n_s16(B1, vqdmulhq_n_s16(B1, kC1), 1);
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const int16x8_t C1 = vqdmulhq_n_s16(B1, kC2);
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const int16x4_t a = vqadd_s16(vget_low_s16(rows->val[0]),
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vget_low_s16(rows->val[1])); // in0 + in8
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const int16x4_t b = vqsub_s16(vget_low_s16(rows->val[0]),
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vget_low_s16(rows->val[1])); // in0 - in8
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// c = kC2 * in4 - kC1 * in12
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// d = kC1 * in4 + kC2 * in12
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const int16x4_t c = vqsub_s16(vget_low_s16(C1), vget_high_s16(C0));
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const int16x4_t d = vqadd_s16(vget_low_s16(C0), vget_high_s16(C1));
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const int16x8_t D0 = vcombine_s16(a, b); // D0 = a | b
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const int16x8_t D1 = vcombine_s16(d, c); // D1 = d | c
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const int16x8_t E0 = vqaddq_s16(D0, D1); // a+d | b+c
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const int16x8_t E_tmp = vqsubq_s16(D0, D1); // a-d | b-c
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const int16x8_t E1 = vcombine_s16(vget_high_s16(E_tmp), vget_low_s16(E_tmp));
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Transpose8x2(E0, E1, rows);
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}
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static void ITransformOne(const uint8_t* ref,
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const int16_t* in, uint8_t* dst) {
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int16x8x2_t rows;
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INIT_VECTOR2(rows, vld1q_s16(in + 0), vld1q_s16(in + 8));
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TransformPass(&rows);
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TransformPass(&rows);
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Add4x4(rows.val[0], rows.val[1], ref, dst);
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}
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#else
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static void ITransformOne(const uint8_t* ref,
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const int16_t* in, uint8_t* dst) {
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const int kBPS = BPS;
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const int16_t kC1C2[] = { kC1, kC2, 0, 0 };
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__asm__ volatile (
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"vld1.16 {q1, q2}, [%[in]] \n"
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"vld1.16 {d0}, [%[kC1C2]] \n"
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// d2: in[0]
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// d3: in[8]
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// d4: in[4]
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// d5: in[12]
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"vswp d3, d4 \n"
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// q8 = {in[4], in[12]} * kC1 * 2 >> 16
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// q9 = {in[4], in[12]} * kC2 >> 16
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"vqdmulh.s16 q8, q2, d0[0] \n"
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"vqdmulh.s16 q9, q2, d0[1] \n"
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// d22 = a = in[0] + in[8]
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// d23 = b = in[0] - in[8]
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"vqadd.s16 d22, d2, d3 \n"
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"vqsub.s16 d23, d2, d3 \n"
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// q8 = in[4]/[12] * kC1 >> 16
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"vshr.s16 q8, q8, #1 \n"
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// Add {in[4], in[12]} back after the multiplication.
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"vqadd.s16 q8, q2, q8 \n"
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// d20 = c = in[4]*kC2 - in[12]*kC1
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// d21 = d = in[4]*kC1 + in[12]*kC2
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"vqsub.s16 d20, d18, d17 \n"
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"vqadd.s16 d21, d19, d16 \n"
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// d2 = tmp[0] = a + d
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// d3 = tmp[1] = b + c
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// d4 = tmp[2] = b - c
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// d5 = tmp[3] = a - d
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"vqadd.s16 d2, d22, d21 \n"
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"vqadd.s16 d3, d23, d20 \n"
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"vqsub.s16 d4, d23, d20 \n"
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"vqsub.s16 d5, d22, d21 \n"
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"vzip.16 q1, q2 \n"
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"vzip.16 q1, q2 \n"
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"vswp d3, d4 \n"
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// q8 = {tmp[4], tmp[12]} * kC1 * 2 >> 16
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// q9 = {tmp[4], tmp[12]} * kC2 >> 16
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"vqdmulh.s16 q8, q2, d0[0] \n"
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"vqdmulh.s16 q9, q2, d0[1] \n"
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// d22 = a = tmp[0] + tmp[8]
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// d23 = b = tmp[0] - tmp[8]
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"vqadd.s16 d22, d2, d3 \n"
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"vqsub.s16 d23, d2, d3 \n"
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"vshr.s16 q8, q8, #1 \n"
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"vqadd.s16 q8, q2, q8 \n"
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// d20 = c = in[4]*kC2 - in[12]*kC1
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// d21 = d = in[4]*kC1 + in[12]*kC2
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"vqsub.s16 d20, d18, d17 \n"
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"vqadd.s16 d21, d19, d16 \n"
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// d2 = tmp[0] = a + d
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// d3 = tmp[1] = b + c
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// d4 = tmp[2] = b - c
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// d5 = tmp[3] = a - d
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"vqadd.s16 d2, d22, d21 \n"
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"vqadd.s16 d3, d23, d20 \n"
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"vqsub.s16 d4, d23, d20 \n"
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"vqsub.s16 d5, d22, d21 \n"
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"vld1.32 d6[0], [%[ref]], %[kBPS] \n"
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"vld1.32 d6[1], [%[ref]], %[kBPS] \n"
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"vld1.32 d7[0], [%[ref]], %[kBPS] \n"
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"vld1.32 d7[1], [%[ref]], %[kBPS] \n"
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"sub %[ref], %[ref], %[kBPS], lsl #2 \n"
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// (val) + 4 >> 3
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"vrshr.s16 d2, d2, #3 \n"
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"vrshr.s16 d3, d3, #3 \n"
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"vrshr.s16 d4, d4, #3 \n"
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"vrshr.s16 d5, d5, #3 \n"
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"vzip.16 q1, q2 \n"
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"vzip.16 q1, q2 \n"
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// Must accumulate before saturating
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"vmovl.u8 q8, d6 \n"
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"vmovl.u8 q9, d7 \n"
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"vqadd.s16 q1, q1, q8 \n"
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"vqadd.s16 q2, q2, q9 \n"
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"vqmovun.s16 d0, q1 \n"
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"vqmovun.s16 d1, q2 \n"
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"vst1.32 d0[0], [%[dst]], %[kBPS] \n"
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"vst1.32 d0[1], [%[dst]], %[kBPS] \n"
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"vst1.32 d1[0], [%[dst]], %[kBPS] \n"
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"vst1.32 d1[1], [%[dst]] \n"
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: [in] "+r"(in), [dst] "+r"(dst) // modified registers
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: [kBPS] "r"(kBPS), [kC1C2] "r"(kC1C2), [ref] "r"(ref) // constants
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: "memory", "q0", "q1", "q2", "q8", "q9", "q10", "q11" // clobbered
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);
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}
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#endif // USE_INTRINSICS
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static void ITransform(const uint8_t* ref,
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const int16_t* in, uint8_t* dst, int do_two) {
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ITransformOne(ref, in, dst);
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if (do_two) {
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ITransformOne(ref + 4, in + 16, dst + 4);
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}
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}
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// Load all 4x4 pixels into a single uint8x16_t variable.
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static uint8x16_t Load4x4(const uint8_t* src) {
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uint32x4_t out = vdupq_n_u32(0);
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out = vld1q_lane_u32((const uint32_t*)(src + 0 * BPS), out, 0);
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out = vld1q_lane_u32((const uint32_t*)(src + 1 * BPS), out, 1);
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out = vld1q_lane_u32((const uint32_t*)(src + 2 * BPS), out, 2);
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out = vld1q_lane_u32((const uint32_t*)(src + 3 * BPS), out, 3);
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return vreinterpretq_u8_u32(out);
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}
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// Forward transform.
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#if defined(USE_INTRINSICS)
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static WEBP_INLINE void Transpose4x4_S16(const int16x4_t A, const int16x4_t B,
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const int16x4_t C, const int16x4_t D,
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int16x8_t* const out01,
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int16x8_t* const out32) {
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const int16x4x2_t AB = vtrn_s16(A, B);
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const int16x4x2_t CD = vtrn_s16(C, D);
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const int32x2x2_t tmp02 = vtrn_s32(vreinterpret_s32_s16(AB.val[0]),
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vreinterpret_s32_s16(CD.val[0]));
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const int32x2x2_t tmp13 = vtrn_s32(vreinterpret_s32_s16(AB.val[1]),
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vreinterpret_s32_s16(CD.val[1]));
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*out01 = vreinterpretq_s16_s64(
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vcombine_s64(vreinterpret_s64_s32(tmp02.val[0]),
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vreinterpret_s64_s32(tmp13.val[0])));
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*out32 = vreinterpretq_s16_s64(
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vcombine_s64(vreinterpret_s64_s32(tmp13.val[1]),
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vreinterpret_s64_s32(tmp02.val[1])));
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}
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static WEBP_INLINE int16x8_t DiffU8ToS16(const uint8x8_t a,
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const uint8x8_t b) {
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return vreinterpretq_s16_u16(vsubl_u8(a, b));
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}
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static void FTransform(const uint8_t* src, const uint8_t* ref,
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int16_t* out) {
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int16x8_t d0d1, d3d2; // working 4x4 int16 variables
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{
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const uint8x16_t S0 = Load4x4(src);
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const uint8x16_t R0 = Load4x4(ref);
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const int16x8_t D0D1 = DiffU8ToS16(vget_low_u8(S0), vget_low_u8(R0));
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const int16x8_t D2D3 = DiffU8ToS16(vget_high_u8(S0), vget_high_u8(R0));
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const int16x4_t D0 = vget_low_s16(D0D1);
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const int16x4_t D1 = vget_high_s16(D0D1);
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const int16x4_t D2 = vget_low_s16(D2D3);
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const int16x4_t D3 = vget_high_s16(D2D3);
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Transpose4x4_S16(D0, D1, D2, D3, &d0d1, &d3d2);
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}
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{ // 1rst pass
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const int32x4_t kCst937 = vdupq_n_s32(937);
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const int32x4_t kCst1812 = vdupq_n_s32(1812);
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const int16x8_t a0a1 = vaddq_s16(d0d1, d3d2); // d0+d3 | d1+d2 (=a0|a1)
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const int16x8_t a3a2 = vsubq_s16(d0d1, d3d2); // d0-d3 | d1-d2 (=a3|a2)
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const int16x8_t a0a1_2 = vshlq_n_s16(a0a1, 3);
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const int16x4_t tmp0 = vadd_s16(vget_low_s16(a0a1_2),
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vget_high_s16(a0a1_2));
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const int16x4_t tmp2 = vsub_s16(vget_low_s16(a0a1_2),
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vget_high_s16(a0a1_2));
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const int32x4_t a3_2217 = vmull_n_s16(vget_low_s16(a3a2), 2217);
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const int32x4_t a2_2217 = vmull_n_s16(vget_high_s16(a3a2), 2217);
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const int32x4_t a2_p_a3 = vmlal_n_s16(a2_2217, vget_low_s16(a3a2), 5352);
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const int32x4_t a3_m_a2 = vmlsl_n_s16(a3_2217, vget_high_s16(a3a2), 5352);
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const int16x4_t tmp1 = vshrn_n_s32(vaddq_s32(a2_p_a3, kCst1812), 9);
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const int16x4_t tmp3 = vshrn_n_s32(vaddq_s32(a3_m_a2, kCst937), 9);
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Transpose4x4_S16(tmp0, tmp1, tmp2, tmp3, &d0d1, &d3d2);
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}
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{ // 2nd pass
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// the (1<<16) addition is for the replacement: a3!=0 <-> 1-(a3==0)
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const int32x4_t kCst12000 = vdupq_n_s32(12000 + (1 << 16));
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const int32x4_t kCst51000 = vdupq_n_s32(51000);
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const int16x8_t a0a1 = vaddq_s16(d0d1, d3d2); // d0+d3 | d1+d2 (=a0|a1)
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const int16x8_t a3a2 = vsubq_s16(d0d1, d3d2); // d0-d3 | d1-d2 (=a3|a2)
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const int16x4_t a0_k7 = vadd_s16(vget_low_s16(a0a1), vdup_n_s16(7));
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const int16x4_t out0 = vshr_n_s16(vadd_s16(a0_k7, vget_high_s16(a0a1)), 4);
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const int16x4_t out2 = vshr_n_s16(vsub_s16(a0_k7, vget_high_s16(a0a1)), 4);
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const int32x4_t a3_2217 = vmull_n_s16(vget_low_s16(a3a2), 2217);
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const int32x4_t a2_2217 = vmull_n_s16(vget_high_s16(a3a2), 2217);
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const int32x4_t a2_p_a3 = vmlal_n_s16(a2_2217, vget_low_s16(a3a2), 5352);
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const int32x4_t a3_m_a2 = vmlsl_n_s16(a3_2217, vget_high_s16(a3a2), 5352);
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const int16x4_t tmp1 = vaddhn_s32(a2_p_a3, kCst12000);
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const int16x4_t out3 = vaddhn_s32(a3_m_a2, kCst51000);
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const int16x4_t a3_eq_0 =
|
|
vreinterpret_s16_u16(vceq_s16(vget_low_s16(a3a2), vdup_n_s16(0)));
|
|
const int16x4_t out1 = vadd_s16(tmp1, a3_eq_0);
|
|
vst1_s16(out + 0, out0);
|
|
vst1_s16(out + 4, out1);
|
|
vst1_s16(out + 8, out2);
|
|
vst1_s16(out + 12, out3);
|
|
}
|
|
}
|
|
|
|
#else
|
|
|
|
// adapted from vp8/encoder/arm/neon/shortfdct_neon.asm
|
|
static const int16_t kCoeff16[] = {
|
|
5352, 5352, 5352, 5352, 2217, 2217, 2217, 2217
|
|
};
|
|
static const int32_t kCoeff32[] = {
|
|
1812, 1812, 1812, 1812,
|
|
937, 937, 937, 937,
|
|
12000, 12000, 12000, 12000,
|
|
51000, 51000, 51000, 51000
|
|
};
|
|
|
|
static void FTransform(const uint8_t* src, const uint8_t* ref,
|
|
int16_t* out) {
|
|
const int kBPS = BPS;
|
|
const uint8_t* src_ptr = src;
|
|
const uint8_t* ref_ptr = ref;
|
|
const int16_t* coeff16 = kCoeff16;
|
|
const int32_t* coeff32 = kCoeff32;
|
|
|
|
__asm__ volatile (
|
|
// load src into q4, q5 in high half
|
|
"vld1.8 {d8}, [%[src_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d10}, [%[src_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d9}, [%[src_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d11}, [%[src_ptr]] \n"
|
|
|
|
// load ref into q6, q7 in high half
|
|
"vld1.8 {d12}, [%[ref_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d14}, [%[ref_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d13}, [%[ref_ptr]], %[kBPS] \n"
|
|
"vld1.8 {d15}, [%[ref_ptr]] \n"
|
|
|
|
// Pack the high values in to q4 and q6
|
|
"vtrn.32 q4, q5 \n"
|
|
"vtrn.32 q6, q7 \n"
|
|
|
|
// d[0-3] = src - ref
|
|
"vsubl.u8 q0, d8, d12 \n"
|
|
"vsubl.u8 q1, d9, d13 \n"
|
|
|
|
// load coeff16 into q8(d16=5352, d17=2217)
|
|
"vld1.16 {q8}, [%[coeff16]] \n"
|
|
|
|
// load coeff32 high half into q9 = 1812, q10 = 937
|
|
"vld1.32 {q9, q10}, [%[coeff32]]! \n"
|
|
|
|
// load coeff32 low half into q11=12000, q12=51000
|
|
"vld1.32 {q11,q12}, [%[coeff32]] \n"
|
|
|
|
// part 1
|
|
// Transpose. Register dN is the same as dN in C
|
|
"vtrn.32 d0, d2 \n"
|
|
"vtrn.32 d1, d3 \n"
|
|
"vtrn.16 d0, d1 \n"
|
|
"vtrn.16 d2, d3 \n"
|
|
|
|
"vadd.s16 d4, d0, d3 \n" // a0 = d0 + d3
|
|
"vadd.s16 d5, d1, d2 \n" // a1 = d1 + d2
|
|
"vsub.s16 d6, d1, d2 \n" // a2 = d1 - d2
|
|
"vsub.s16 d7, d0, d3 \n" // a3 = d0 - d3
|
|
|
|
"vadd.s16 d0, d4, d5 \n" // a0 + a1
|
|
"vshl.s16 d0, d0, #3 \n" // temp[0+i*4] = (a0+a1) << 3
|
|
"vsub.s16 d2, d4, d5 \n" // a0 - a1
|
|
"vshl.s16 d2, d2, #3 \n" // (temp[2+i*4] = (a0-a1) << 3
|
|
|
|
"vmlal.s16 q9, d7, d16 \n" // a3*5352 + 1812
|
|
"vmlal.s16 q10, d7, d17 \n" // a3*2217 + 937
|
|
"vmlal.s16 q9, d6, d17 \n" // a2*2217 + a3*5352 + 1812
|
|
"vmlsl.s16 q10, d6, d16 \n" // a3*2217 + 937 - a2*5352
|
|
|
|
// temp[1+i*4] = (d2*2217 + d3*5352 + 1812) >> 9
|
|
// temp[3+i*4] = (d3*2217 + 937 - d2*5352) >> 9
|
|
"vshrn.s32 d1, q9, #9 \n"
|
|
"vshrn.s32 d3, q10, #9 \n"
|
|
|
|
// part 2
|
|
// transpose d0=ip[0], d1=ip[4], d2=ip[8], d3=ip[12]
|
|
"vtrn.32 d0, d2 \n"
|
|
"vtrn.32 d1, d3 \n"
|
|
"vtrn.16 d0, d1 \n"
|
|
"vtrn.16 d2, d3 \n"
|
|
|
|
"vmov.s16 d26, #7 \n"
|
|
|
|
"vadd.s16 d4, d0, d3 \n" // a1 = ip[0] + ip[12]
|
|
"vadd.s16 d5, d1, d2 \n" // b1 = ip[4] + ip[8]
|
|
"vsub.s16 d6, d1, d2 \n" // c1 = ip[4] - ip[8]
|
|
"vadd.s16 d4, d4, d26 \n" // a1 + 7
|
|
"vsub.s16 d7, d0, d3 \n" // d1 = ip[0] - ip[12]
|
|
|
|
"vadd.s16 d0, d4, d5 \n" // op[0] = a1 + b1 + 7
|
|
"vsub.s16 d2, d4, d5 \n" // op[8] = a1 - b1 + 7
|
|
|
|
"vmlal.s16 q11, d7, d16 \n" // d1*5352 + 12000
|
|
"vmlal.s16 q12, d7, d17 \n" // d1*2217 + 51000
|
|
|
|
"vceq.s16 d4, d7, #0 \n"
|
|
|
|
"vshr.s16 d0, d0, #4 \n"
|
|
"vshr.s16 d2, d2, #4 \n"
|
|
|
|
"vmlal.s16 q11, d6, d17 \n" // c1*2217 + d1*5352 + 12000
|
|
"vmlsl.s16 q12, d6, d16 \n" // d1*2217 - c1*5352 + 51000
|
|
|
|
"vmvn d4, d4 \n" // !(d1 == 0)
|
|
// op[4] = (c1*2217 + d1*5352 + 12000)>>16
|
|
"vshrn.s32 d1, q11, #16 \n"
|
|
// op[4] += (d1!=0)
|
|
"vsub.s16 d1, d1, d4 \n"
|
|
// op[12]= (d1*2217 - c1*5352 + 51000)>>16
|
|
"vshrn.s32 d3, q12, #16 \n"
|
|
|
|
// set result to out array
|
|
"vst1.16 {q0, q1}, [%[out]] \n"
|
|
: [src_ptr] "+r"(src_ptr), [ref_ptr] "+r"(ref_ptr),
|
|
[coeff32] "+r"(coeff32) // modified registers
|
|
: [kBPS] "r"(kBPS), [coeff16] "r"(coeff16),
|
|
[out] "r"(out) // constants
|
|
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9",
|
|
"q10", "q11", "q12", "q13" // clobbered
|
|
);
|
|
}
|
|
|
|
#endif
|
|
|
|
#define LOAD_LANE_16b(VALUE, LANE) do { \
|
|
(VALUE) = vld1_lane_s16(src, (VALUE), (LANE)); \
|
|
src += stride; \
|
|
} while (0)
|
|
|
|
static void FTransformWHT(const int16_t* src, int16_t* out) {
|
|
const int stride = 16;
|
|
const int16x4_t zero = vdup_n_s16(0);
|
|
int32x4x4_t tmp0;
|
|
int16x4x4_t in;
|
|
INIT_VECTOR4(in, zero, zero, zero, zero);
|
|
LOAD_LANE_16b(in.val[0], 0);
|
|
LOAD_LANE_16b(in.val[1], 0);
|
|
LOAD_LANE_16b(in.val[2], 0);
|
|
LOAD_LANE_16b(in.val[3], 0);
|
|
LOAD_LANE_16b(in.val[0], 1);
|
|
LOAD_LANE_16b(in.val[1], 1);
|
|
LOAD_LANE_16b(in.val[2], 1);
|
|
LOAD_LANE_16b(in.val[3], 1);
|
|
LOAD_LANE_16b(in.val[0], 2);
|
|
LOAD_LANE_16b(in.val[1], 2);
|
|
LOAD_LANE_16b(in.val[2], 2);
|
|
LOAD_LANE_16b(in.val[3], 2);
|
|
LOAD_LANE_16b(in.val[0], 3);
|
|
LOAD_LANE_16b(in.val[1], 3);
|
|
LOAD_LANE_16b(in.val[2], 3);
|
|
LOAD_LANE_16b(in.val[3], 3);
|
|
|
|
{
|
|
// a0 = in[0 * 16] + in[2 * 16]
|
|
// a1 = in[1 * 16] + in[3 * 16]
|
|
// a2 = in[1 * 16] - in[3 * 16]
|
|
// a3 = in[0 * 16] - in[2 * 16]
|
|
const int32x4_t a0 = vaddl_s16(in.val[0], in.val[2]);
|
|
const int32x4_t a1 = vaddl_s16(in.val[1], in.val[3]);
|
|
const int32x4_t a2 = vsubl_s16(in.val[1], in.val[3]);
|
|
const int32x4_t a3 = vsubl_s16(in.val[0], in.val[2]);
|
|
tmp0.val[0] = vaddq_s32(a0, a1);
|
|
tmp0.val[1] = vaddq_s32(a3, a2);
|
|
tmp0.val[2] = vsubq_s32(a3, a2);
|
|
tmp0.val[3] = vsubq_s32(a0, a1);
|
|
}
|
|
{
|
|
const int32x4x4_t tmp1 = Transpose4x4(tmp0);
|
|
// a0 = tmp[0 + i] + tmp[ 8 + i]
|
|
// a1 = tmp[4 + i] + tmp[12 + i]
|
|
// a2 = tmp[4 + i] - tmp[12 + i]
|
|
// a3 = tmp[0 + i] - tmp[ 8 + i]
|
|
const int32x4_t a0 = vaddq_s32(tmp1.val[0], tmp1.val[2]);
|
|
const int32x4_t a1 = vaddq_s32(tmp1.val[1], tmp1.val[3]);
|
|
const int32x4_t a2 = vsubq_s32(tmp1.val[1], tmp1.val[3]);
|
|
const int32x4_t a3 = vsubq_s32(tmp1.val[0], tmp1.val[2]);
|
|
const int32x4_t b0 = vhaddq_s32(a0, a1); // (a0 + a1) >> 1
|
|
const int32x4_t b1 = vhaddq_s32(a3, a2); // (a3 + a2) >> 1
|
|
const int32x4_t b2 = vhsubq_s32(a3, a2); // (a3 - a2) >> 1
|
|
const int32x4_t b3 = vhsubq_s32(a0, a1); // (a0 - a1) >> 1
|
|
const int16x4_t out0 = vmovn_s32(b0);
|
|
const int16x4_t out1 = vmovn_s32(b1);
|
|
const int16x4_t out2 = vmovn_s32(b2);
|
|
const int16x4_t out3 = vmovn_s32(b3);
|
|
|
|
vst1_s16(out + 0, out0);
|
|
vst1_s16(out + 4, out1);
|
|
vst1_s16(out + 8, out2);
|
|
vst1_s16(out + 12, out3);
|
|
}
|
|
}
|
|
#undef LOAD_LANE_16b
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Texture distortion
|
|
//
|
|
// We try to match the spectral content (weighted) between source and
|
|
// reconstructed samples.
|
|
|
|
// This code works but is *slower* than the inlined-asm version below
|
|
// (with gcc-4.6). So we disable it for now. Later, it'll be conditional to
|
|
// USE_INTRINSICS define.
|
|
// With gcc-4.8, it's only slightly slower than the inlined.
|
|
#if defined(USE_INTRINSICS)
|
|
|
|
// Zero extend an uint16x4_t 'v' to an int32x4_t.
|
|
static WEBP_INLINE int32x4_t ConvertU16ToS32(uint16x4_t v) {
|
|
return vreinterpretq_s32_u32(vmovl_u16(v));
|
|
}
|
|
|
|
// Does a regular 4x4 transpose followed by an adjustment of the upper columns
|
|
// in the inner rows to restore the source order of differences,
|
|
// i.e., a0 - a1 | a3 - a2.
|
|
static WEBP_INLINE int32x4x4_t DistoTranspose4x4(const int32x4x4_t rows) {
|
|
int32x4x4_t out = Transpose4x4(rows);
|
|
// restore source order in the columns containing differences.
|
|
const int32x2_t r1h = vget_high_s32(out.val[1]);
|
|
const int32x2_t r2h = vget_high_s32(out.val[2]);
|
|
out.val[1] = vcombine_s32(vget_low_s32(out.val[1]), r2h);
|
|
out.val[2] = vcombine_s32(vget_low_s32(out.val[2]), r1h);
|
|
return out;
|
|
}
|
|
|
|
static WEBP_INLINE int32x4x4_t DistoHorizontalPass(const uint8x8_t r0r1,
|
|
const uint8x8_t r2r3) {
|
|
// a0 = in[0] + in[2] | a1 = in[1] + in[3]
|
|
const uint16x8_t a0a1 = vaddl_u8(r0r1, r2r3);
|
|
// a3 = in[0] - in[2] | a2 = in[1] - in[3]
|
|
const uint16x8_t a3a2 = vsubl_u8(r0r1, r2r3);
|
|
const int32x4_t tmp0 = vpaddlq_s16(vreinterpretq_s16_u16(a0a1)); // a0 + a1
|
|
const int32x4_t tmp1 = vpaddlq_s16(vreinterpretq_s16_u16(a3a2)); // a3 + a2
|
|
// no pairwise subtraction; reorder to perform tmp[2]/tmp[3] calculations.
|
|
// a0a0 a3a3 a0a0 a3a3 a0a0 a3a3 a0a0 a3a3
|
|
// a1a1 a2a2 a1a1 a2a2 a1a1 a2a2 a1a1 a2a2
|
|
const int16x8x2_t transpose =
|
|
vtrnq_s16(vreinterpretq_s16_u16(a0a1), vreinterpretq_s16_u16(a3a2));
|
|
// tmp[3] = a0 - a1 | tmp[2] = a3 - a2
|
|
const int32x4_t tmp32_1 = vsubl_s16(vget_low_s16(transpose.val[0]),
|
|
vget_low_s16(transpose.val[1]));
|
|
const int32x4_t tmp32_2 = vsubl_s16(vget_high_s16(transpose.val[0]),
|
|
vget_high_s16(transpose.val[1]));
|
|
// [0]: tmp[3] [1]: tmp[2]
|
|
const int32x4x2_t split = vtrnq_s32(tmp32_1, tmp32_2);
|
|
const int32x4x4_t res = { { tmp0, tmp1, split.val[1], split.val[0] } };
|
|
return res;
|
|
}
|
|
|
|
static WEBP_INLINE int32x4x4_t DistoVerticalPass(const int32x4x4_t rows) {
|
|
// a0 = tmp[0 + i] + tmp[8 + i];
|
|
const int32x4_t a0 = vaddq_s32(rows.val[0], rows.val[1]);
|
|
// a1 = tmp[4 + i] + tmp[12+ i];
|
|
const int32x4_t a1 = vaddq_s32(rows.val[2], rows.val[3]);
|
|
// a2 = tmp[4 + i] - tmp[12+ i];
|
|
const int32x4_t a2 = vsubq_s32(rows.val[2], rows.val[3]);
|
|
// a3 = tmp[0 + i] - tmp[8 + i];
|
|
const int32x4_t a3 = vsubq_s32(rows.val[0], rows.val[1]);
|
|
const int32x4_t b0 = vqabsq_s32(vaddq_s32(a0, a1)); // abs(a0 + a1)
|
|
const int32x4_t b1 = vqabsq_s32(vaddq_s32(a3, a2)); // abs(a3 + a2)
|
|
const int32x4_t b2 = vabdq_s32(a3, a2); // abs(a3 - a2)
|
|
const int32x4_t b3 = vabdq_s32(a0, a1); // abs(a0 - a1)
|
|
const int32x4x4_t res = { { b0, b1, b2, b3 } };
|
|
return res;
|
|
}
|
|
|
|
// Calculate the weighted sum of the rows in 'b'.
|
|
static WEBP_INLINE int64x1_t DistoSum(const int32x4x4_t b,
|
|
const int32x4_t w0, const int32x4_t w1,
|
|
const int32x4_t w2, const int32x4_t w3) {
|
|
const int32x4_t s0 = vmulq_s32(w0, b.val[0]);
|
|
const int32x4_t s1 = vmlaq_s32(s0, w1, b.val[1]);
|
|
const int32x4_t s2 = vmlaq_s32(s1, w2, b.val[2]);
|
|
const int32x4_t s3 = vmlaq_s32(s2, w3, b.val[3]);
|
|
const int64x2_t sum1 = vpaddlq_s32(s3);
|
|
const int64x1_t sum2 = vadd_s64(vget_low_s64(sum1), vget_high_s64(sum1));
|
|
return sum2;
|
|
}
|
|
|
|
#define LOAD_LANE_32b(src, VALUE, LANE) \
|
|
(VALUE) = vld1q_lane_u32((const uint32_t*)(src), (VALUE), (LANE))
|
|
|
|
// Hadamard transform
|
|
// Returns the weighted sum of the absolute value of transformed coefficients.
|
|
static int Disto4x4(const uint8_t* const a, const uint8_t* const b,
|
|
const uint16_t* const w) {
|
|
uint32x4_t d0d1 = { 0, 0, 0, 0 };
|
|
uint32x4_t d2d3 = { 0, 0, 0, 0 };
|
|
LOAD_LANE_32b(a + 0 * BPS, d0d1, 0); // a00 a01 a02 a03
|
|
LOAD_LANE_32b(a + 1 * BPS, d0d1, 1); // a10 a11 a12 a13
|
|
LOAD_LANE_32b(b + 0 * BPS, d0d1, 2); // b00 b01 b02 b03
|
|
LOAD_LANE_32b(b + 1 * BPS, d0d1, 3); // b10 b11 b12 b13
|
|
LOAD_LANE_32b(a + 2 * BPS, d2d3, 0); // a20 a21 a22 a23
|
|
LOAD_LANE_32b(a + 3 * BPS, d2d3, 1); // a30 a31 a32 a33
|
|
LOAD_LANE_32b(b + 2 * BPS, d2d3, 2); // b20 b21 b22 b23
|
|
LOAD_LANE_32b(b + 3 * BPS, d2d3, 3); // b30 b31 b32 b33
|
|
|
|
{
|
|
// a00 a01 a20 a21 a10 a11 a30 a31 b00 b01 b20 b21 b10 b11 b30 b31
|
|
// a02 a03 a22 a23 a12 a13 a32 a33 b02 b03 b22 b23 b12 b13 b32 b33
|
|
const uint16x8x2_t tmp =
|
|
vtrnq_u16(vreinterpretq_u16_u32(d0d1), vreinterpretq_u16_u32(d2d3));
|
|
const uint8x16_t d0d1u8 = vreinterpretq_u8_u16(tmp.val[0]);
|
|
const uint8x16_t d2d3u8 = vreinterpretq_u8_u16(tmp.val[1]);
|
|
const int32x4x4_t hpass_a = DistoHorizontalPass(vget_low_u8(d0d1u8),
|
|
vget_low_u8(d2d3u8));
|
|
const int32x4x4_t hpass_b = DistoHorizontalPass(vget_high_u8(d0d1u8),
|
|
vget_high_u8(d2d3u8));
|
|
const int32x4x4_t tmp_a = DistoTranspose4x4(hpass_a);
|
|
const int32x4x4_t tmp_b = DistoTranspose4x4(hpass_b);
|
|
const int32x4x4_t vpass_a = DistoVerticalPass(tmp_a);
|
|
const int32x4x4_t vpass_b = DistoVerticalPass(tmp_b);
|
|
const int32x4_t w0 = ConvertU16ToS32(vld1_u16(w + 0));
|
|
const int32x4_t w1 = ConvertU16ToS32(vld1_u16(w + 4));
|
|
const int32x4_t w2 = ConvertU16ToS32(vld1_u16(w + 8));
|
|
const int32x4_t w3 = ConvertU16ToS32(vld1_u16(w + 12));
|
|
const int64x1_t sum1 = DistoSum(vpass_a, w0, w1, w2, w3);
|
|
const int64x1_t sum2 = DistoSum(vpass_b, w0, w1, w2, w3);
|
|
const int32x2_t diff = vabd_s32(vreinterpret_s32_s64(sum1),
|
|
vreinterpret_s32_s64(sum2));
|
|
const int32x2_t res = vshr_n_s32(diff, 5);
|
|
return vget_lane_s32(res, 0);
|
|
}
|
|
}
|
|
|
|
#undef LOAD_LANE_32b
|
|
|
|
#else
|
|
|
|
// Hadamard transform
|
|
// Returns the weighted sum of the absolute value of transformed coefficients.
|
|
static int Disto4x4(const uint8_t* const a, const uint8_t* const b,
|
|
const uint16_t* const w) {
|
|
const int kBPS = BPS;
|
|
const uint8_t* A = a;
|
|
const uint8_t* B = b;
|
|
const uint16_t* W = w;
|
|
int sum;
|
|
__asm__ volatile (
|
|
"vld1.32 d0[0], [%[a]], %[kBPS] \n"
|
|
"vld1.32 d0[1], [%[a]], %[kBPS] \n"
|
|
"vld1.32 d2[0], [%[a]], %[kBPS] \n"
|
|
"vld1.32 d2[1], [%[a]] \n"
|
|
|
|
"vld1.32 d1[0], [%[b]], %[kBPS] \n"
|
|
"vld1.32 d1[1], [%[b]], %[kBPS] \n"
|
|
"vld1.32 d3[0], [%[b]], %[kBPS] \n"
|
|
"vld1.32 d3[1], [%[b]] \n"
|
|
|
|
// a d0/d2, b d1/d3
|
|
// d0/d1: 01 01 01 01
|
|
// d2/d3: 23 23 23 23
|
|
// But: it goes 01 45 23 67
|
|
// Notice the middle values are transposed
|
|
"vtrn.16 q0, q1 \n"
|
|
|
|
// {a0, a1} = {in[0] + in[2], in[1] + in[3]}
|
|
"vaddl.u8 q2, d0, d2 \n"
|
|
"vaddl.u8 q10, d1, d3 \n"
|
|
// {a3, a2} = {in[0] - in[2], in[1] - in[3]}
|
|
"vsubl.u8 q3, d0, d2 \n"
|
|
"vsubl.u8 q11, d1, d3 \n"
|
|
|
|
// tmp[0] = a0 + a1
|
|
"vpaddl.s16 q0, q2 \n"
|
|
"vpaddl.s16 q8, q10 \n"
|
|
|
|
// tmp[1] = a3 + a2
|
|
"vpaddl.s16 q1, q3 \n"
|
|
"vpaddl.s16 q9, q11 \n"
|
|
|
|
// No pair subtract
|
|
// q2 = {a0, a3}
|
|
// q3 = {a1, a2}
|
|
"vtrn.16 q2, q3 \n"
|
|
"vtrn.16 q10, q11 \n"
|
|
|
|
// {tmp[3], tmp[2]} = {a0 - a1, a3 - a2}
|
|
"vsubl.s16 q12, d4, d6 \n"
|
|
"vsubl.s16 q13, d5, d7 \n"
|
|
"vsubl.s16 q14, d20, d22 \n"
|
|
"vsubl.s16 q15, d21, d23 \n"
|
|
|
|
// separate tmp[3] and tmp[2]
|
|
// q12 = tmp[3]
|
|
// q13 = tmp[2]
|
|
"vtrn.32 q12, q13 \n"
|
|
"vtrn.32 q14, q15 \n"
|
|
|
|
// Transpose tmp for a
|
|
"vswp d1, d26 \n" // vtrn.64
|
|
"vswp d3, d24 \n" // vtrn.64
|
|
"vtrn.32 q0, q1 \n"
|
|
"vtrn.32 q13, q12 \n"
|
|
|
|
// Transpose tmp for b
|
|
"vswp d17, d30 \n" // vtrn.64
|
|
"vswp d19, d28 \n" // vtrn.64
|
|
"vtrn.32 q8, q9 \n"
|
|
"vtrn.32 q15, q14 \n"
|
|
|
|
// The first Q register is a, the second b.
|
|
// q0/8 tmp[0-3]
|
|
// q13/15 tmp[4-7]
|
|
// q1/9 tmp[8-11]
|
|
// q12/14 tmp[12-15]
|
|
|
|
// These are still in 01 45 23 67 order. We fix it easily in the addition
|
|
// case but the subtraction propagates them.
|
|
"vswp d3, d27 \n"
|
|
"vswp d19, d31 \n"
|
|
|
|
// a0 = tmp[0] + tmp[8]
|
|
"vadd.s32 q2, q0, q1 \n"
|
|
"vadd.s32 q3, q8, q9 \n"
|
|
|
|
// a1 = tmp[4] + tmp[12]
|
|
"vadd.s32 q10, q13, q12 \n"
|
|
"vadd.s32 q11, q15, q14 \n"
|
|
|
|
// a2 = tmp[4] - tmp[12]
|
|
"vsub.s32 q13, q13, q12 \n"
|
|
"vsub.s32 q15, q15, q14 \n"
|
|
|
|
// a3 = tmp[0] - tmp[8]
|
|
"vsub.s32 q0, q0, q1 \n"
|
|
"vsub.s32 q8, q8, q9 \n"
|
|
|
|
// b0 = a0 + a1
|
|
"vadd.s32 q1, q2, q10 \n"
|
|
"vadd.s32 q9, q3, q11 \n"
|
|
|
|
// b1 = a3 + a2
|
|
"vadd.s32 q12, q0, q13 \n"
|
|
"vadd.s32 q14, q8, q15 \n"
|
|
|
|
// b2 = a3 - a2
|
|
"vsub.s32 q0, q0, q13 \n"
|
|
"vsub.s32 q8, q8, q15 \n"
|
|
|
|
// b3 = a0 - a1
|
|
"vsub.s32 q2, q2, q10 \n"
|
|
"vsub.s32 q3, q3, q11 \n"
|
|
|
|
"vld1.64 {q10, q11}, [%[w]] \n"
|
|
|
|
// abs(b0)
|
|
"vabs.s32 q1, q1 \n"
|
|
"vabs.s32 q9, q9 \n"
|
|
// abs(b1)
|
|
"vabs.s32 q12, q12 \n"
|
|
"vabs.s32 q14, q14 \n"
|
|
// abs(b2)
|
|
"vabs.s32 q0, q0 \n"
|
|
"vabs.s32 q8, q8 \n"
|
|
// abs(b3)
|
|
"vabs.s32 q2, q2 \n"
|
|
"vabs.s32 q3, q3 \n"
|
|
|
|
// expand w before using.
|
|
"vmovl.u16 q13, d20 \n"
|
|
"vmovl.u16 q15, d21 \n"
|
|
|
|
// w[0] * abs(b0)
|
|
"vmul.u32 q1, q1, q13 \n"
|
|
"vmul.u32 q9, q9, q13 \n"
|
|
|
|
// w[4] * abs(b1)
|
|
"vmla.u32 q1, q12, q15 \n"
|
|
"vmla.u32 q9, q14, q15 \n"
|
|
|
|
// expand w before using.
|
|
"vmovl.u16 q13, d22 \n"
|
|
"vmovl.u16 q15, d23 \n"
|
|
|
|
// w[8] * abs(b1)
|
|
"vmla.u32 q1, q0, q13 \n"
|
|
"vmla.u32 q9, q8, q13 \n"
|
|
|
|
// w[12] * abs(b1)
|
|
"vmla.u32 q1, q2, q15 \n"
|
|
"vmla.u32 q9, q3, q15 \n"
|
|
|
|
// Sum the arrays
|
|
"vpaddl.u32 q1, q1 \n"
|
|
"vpaddl.u32 q9, q9 \n"
|
|
"vadd.u64 d2, d3 \n"
|
|
"vadd.u64 d18, d19 \n"
|
|
|
|
// Hadamard transform needs 4 bits of extra precision (2 bits in each
|
|
// direction) for dynamic raw. Weights w[] are 16bits at max, so the maximum
|
|
// precision for coeff is 8bit of input + 4bits of Hadamard transform +
|
|
// 16bits for w[] + 2 bits of abs() summation.
|
|
//
|
|
// This uses a maximum of 31 bits (signed). Discarding the top 32 bits is
|
|
// A-OK.
|
|
|
|
// sum2 - sum1
|
|
"vsub.u32 d0, d2, d18 \n"
|
|
// abs(sum2 - sum1)
|
|
"vabs.s32 d0, d0 \n"
|
|
// abs(sum2 - sum1) >> 5
|
|
"vshr.u32 d0, #5 \n"
|
|
|
|
// It would be better to move the value straight into r0 but I'm not
|
|
// entirely sure how this works with inline assembly.
|
|
"vmov.32 %[sum], d0[0] \n"
|
|
|
|
: [sum] "=r"(sum), [a] "+r"(A), [b] "+r"(B), [w] "+r"(W)
|
|
: [kBPS] "r"(kBPS)
|
|
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9",
|
|
"q10", "q11", "q12", "q13", "q14", "q15" // clobbered
|
|
) ;
|
|
|
|
return sum;
|
|
}
|
|
|
|
#endif // USE_INTRINSICS
|
|
|
|
static int Disto16x16(const uint8_t* const a, const uint8_t* const b,
|
|
const uint16_t* const w) {
|
|
int D = 0;
|
|
int x, y;
|
|
for (y = 0; y < 16 * BPS; y += 4 * BPS) {
|
|
for (x = 0; x < 16; x += 4) {
|
|
D += Disto4x4(a + x + y, b + x + y, w);
|
|
}
|
|
}
|
|
return D;
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
|
|
static void CollectHistogram(const uint8_t* ref, const uint8_t* pred,
|
|
int start_block, int end_block,
|
|
VP8Histogram* const histo) {
|
|
const uint16x8_t max_coeff_thresh = vdupq_n_u16(MAX_COEFF_THRESH);
|
|
int j;
|
|
for (j = start_block; j < end_block; ++j) {
|
|
int16_t out[16];
|
|
FTransform(ref + VP8DspScan[j], pred + VP8DspScan[j], out);
|
|
{
|
|
int k;
|
|
const int16x8_t a0 = vld1q_s16(out + 0);
|
|
const int16x8_t b0 = vld1q_s16(out + 8);
|
|
const uint16x8_t a1 = vreinterpretq_u16_s16(vabsq_s16(a0));
|
|
const uint16x8_t b1 = vreinterpretq_u16_s16(vabsq_s16(b0));
|
|
const uint16x8_t a2 = vshrq_n_u16(a1, 3);
|
|
const uint16x8_t b2 = vshrq_n_u16(b1, 3);
|
|
const uint16x8_t a3 = vminq_u16(a2, max_coeff_thresh);
|
|
const uint16x8_t b3 = vminq_u16(b2, max_coeff_thresh);
|
|
vst1q_s16(out + 0, vreinterpretq_s16_u16(a3));
|
|
vst1q_s16(out + 8, vreinterpretq_s16_u16(b3));
|
|
// Convert coefficients to bin.
|
|
for (k = 0; k < 16; ++k) {
|
|
histo->distribution[out[k]]++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
|
|
static WEBP_INLINE void AccumulateSSE16(const uint8_t* const a,
|
|
const uint8_t* const b,
|
|
uint32x4_t* const sum) {
|
|
const uint8x16_t a0 = vld1q_u8(a);
|
|
const uint8x16_t b0 = vld1q_u8(b);
|
|
const uint8x16_t abs_diff = vabdq_u8(a0, b0);
|
|
uint16x8_t prod = vmull_u8(vget_low_u8(abs_diff), vget_low_u8(abs_diff));
|
|
prod = vmlal_u8(prod, vget_high_u8(abs_diff), vget_high_u8(abs_diff));
|
|
*sum = vpadalq_u16(*sum, prod); // pair-wise add and accumulate
|
|
}
|
|
|
|
// Horizontal sum of all four uint32_t values in 'sum'.
|
|
static int SumToInt(uint32x4_t sum) {
|
|
const uint64x2_t sum2 = vpaddlq_u32(sum);
|
|
const uint64_t sum3 = vgetq_lane_u64(sum2, 0) + vgetq_lane_u64(sum2, 1);
|
|
return (int)sum3;
|
|
}
|
|
|
|
static int SSE16x16(const uint8_t* a, const uint8_t* b) {
|
|
uint32x4_t sum = vdupq_n_u32(0);
|
|
int y;
|
|
for (y = 0; y < 16; ++y) {
|
|
AccumulateSSE16(a + y * BPS, b + y * BPS, &sum);
|
|
}
|
|
return SumToInt(sum);
|
|
}
|
|
|
|
static int SSE16x8(const uint8_t* a, const uint8_t* b) {
|
|
uint32x4_t sum = vdupq_n_u32(0);
|
|
int y;
|
|
for (y = 0; y < 8; ++y) {
|
|
AccumulateSSE16(a + y * BPS, b + y * BPS, &sum);
|
|
}
|
|
return SumToInt(sum);
|
|
}
|
|
|
|
static int SSE8x8(const uint8_t* a, const uint8_t* b) {
|
|
uint32x4_t sum = vdupq_n_u32(0);
|
|
int y;
|
|
for (y = 0; y < 8; ++y) {
|
|
const uint8x8_t a0 = vld1_u8(a + y * BPS);
|
|
const uint8x8_t b0 = vld1_u8(b + y * BPS);
|
|
const uint8x8_t abs_diff = vabd_u8(a0, b0);
|
|
const uint16x8_t prod = vmull_u8(abs_diff, abs_diff);
|
|
sum = vpadalq_u16(sum, prod);
|
|
}
|
|
return SumToInt(sum);
|
|
}
|
|
|
|
static int SSE4x4(const uint8_t* a, const uint8_t* b) {
|
|
const uint8x16_t a0 = Load4x4(a);
|
|
const uint8x16_t b0 = Load4x4(b);
|
|
const uint8x16_t abs_diff = vabdq_u8(a0, b0);
|
|
uint16x8_t prod = vmull_u8(vget_low_u8(abs_diff), vget_low_u8(abs_diff));
|
|
prod = vmlal_u8(prod, vget_high_u8(abs_diff), vget_high_u8(abs_diff));
|
|
return SumToInt(vpaddlq_u16(prod));
|
|
}
|
|
|
|
//------------------------------------------------------------------------------
|
|
|
|
// Compilation with gcc-4.6.x is problematic for now.
|
|
#if !defined(WORK_AROUND_GCC)
|
|
|
|
static int16x8_t Quantize(int16_t* const in,
|
|
const VP8Matrix* const mtx, int offset) {
|
|
const uint16x8_t sharp = vld1q_u16(&mtx->sharpen_[offset]);
|
|
const uint16x8_t q = vld1q_u16(&mtx->q_[offset]);
|
|
const uint16x8_t iq = vld1q_u16(&mtx->iq_[offset]);
|
|
const uint32x4_t bias0 = vld1q_u32(&mtx->bias_[offset + 0]);
|
|
const uint32x4_t bias1 = vld1q_u32(&mtx->bias_[offset + 4]);
|
|
|
|
const int16x8_t a = vld1q_s16(in + offset); // in
|
|
const uint16x8_t b = vreinterpretq_u16_s16(vabsq_s16(a)); // coeff = abs(in)
|
|
const int16x8_t sign = vshrq_n_s16(a, 15); // sign
|
|
const uint16x8_t c = vaddq_u16(b, sharp); // + sharpen
|
|
const uint32x4_t m0 = vmull_u16(vget_low_u16(c), vget_low_u16(iq));
|
|
const uint32x4_t m1 = vmull_u16(vget_high_u16(c), vget_high_u16(iq));
|
|
const uint32x4_t m2 = vhaddq_u32(m0, bias0);
|
|
const uint32x4_t m3 = vhaddq_u32(m1, bias1); // (coeff * iQ + bias) >> 1
|
|
const uint16x8_t c0 = vcombine_u16(vshrn_n_u32(m2, 16),
|
|
vshrn_n_u32(m3, 16)); // QFIX=17 = 16+1
|
|
const uint16x8_t c1 = vminq_u16(c0, vdupq_n_u16(MAX_LEVEL));
|
|
const int16x8_t c2 = veorq_s16(vreinterpretq_s16_u16(c1), sign);
|
|
const int16x8_t c3 = vsubq_s16(c2, sign); // restore sign
|
|
const int16x8_t c4 = vmulq_s16(c3, vreinterpretq_s16_u16(q));
|
|
vst1q_s16(in + offset, c4);
|
|
assert(QFIX == 17); // this function can't work as is if QFIX != 16+1
|
|
return c3;
|
|
}
|
|
|
|
static const uint8_t kShuffles[4][8] = {
|
|
{ 0, 1, 2, 3, 8, 9, 16, 17 },
|
|
{ 10, 11, 4, 5, 6, 7, 12, 13 },
|
|
{ 18, 19, 24, 25, 26, 27, 20, 21 },
|
|
{ 14, 15, 22, 23, 28, 29, 30, 31 }
|
|
};
|
|
|
|
static int QuantizeBlock(int16_t in[16], int16_t out[16],
|
|
const VP8Matrix* const mtx) {
|
|
const int16x8_t out0 = Quantize(in, mtx, 0);
|
|
const int16x8_t out1 = Quantize(in, mtx, 8);
|
|
uint8x8x4_t shuffles;
|
|
// vtbl4_u8 is marked unavailable for iOS arm64, use wider versions there.
|
|
#if defined(__APPLE__) && defined(__aarch64__)
|
|
uint8x16x2_t all_out;
|
|
INIT_VECTOR2(all_out, vreinterpretq_u8_s16(out0), vreinterpretq_u8_s16(out1));
|
|
INIT_VECTOR4(shuffles,
|
|
vtbl2q_u8(all_out, vld1_u8(kShuffles[0])),
|
|
vtbl2q_u8(all_out, vld1_u8(kShuffles[1])),
|
|
vtbl2q_u8(all_out, vld1_u8(kShuffles[2])),
|
|
vtbl2q_u8(all_out, vld1_u8(kShuffles[3])));
|
|
#else
|
|
uint8x8x4_t all_out;
|
|
INIT_VECTOR4(all_out,
|
|
vreinterpret_u8_s16(vget_low_s16(out0)),
|
|
vreinterpret_u8_s16(vget_high_s16(out0)),
|
|
vreinterpret_u8_s16(vget_low_s16(out1)),
|
|
vreinterpret_u8_s16(vget_high_s16(out1)));
|
|
INIT_VECTOR4(shuffles,
|
|
vtbl4_u8(all_out, vld1_u8(kShuffles[0])),
|
|
vtbl4_u8(all_out, vld1_u8(kShuffles[1])),
|
|
vtbl4_u8(all_out, vld1_u8(kShuffles[2])),
|
|
vtbl4_u8(all_out, vld1_u8(kShuffles[3])));
|
|
#endif
|
|
// Zigzag reordering
|
|
vst1_u8((uint8_t*)(out + 0), shuffles.val[0]);
|
|
vst1_u8((uint8_t*)(out + 4), shuffles.val[1]);
|
|
vst1_u8((uint8_t*)(out + 8), shuffles.val[2]);
|
|
vst1_u8((uint8_t*)(out + 12), shuffles.val[3]);
|
|
// test zeros
|
|
if (*(uint64_t*)(out + 0) != 0) return 1;
|
|
if (*(uint64_t*)(out + 4) != 0) return 1;
|
|
if (*(uint64_t*)(out + 8) != 0) return 1;
|
|
if (*(uint64_t*)(out + 12) != 0) return 1;
|
|
return 0;
|
|
}
|
|
|
|
#endif // !WORK_AROUND_GCC
|
|
|
|
#endif // WEBP_USE_NEON
|
|
|
|
//------------------------------------------------------------------------------
|
|
// Entry point
|
|
|
|
extern void VP8EncDspInitNEON(void);
|
|
|
|
void VP8EncDspInitNEON(void) {
|
|
#if defined(WEBP_USE_NEON)
|
|
VP8ITransform = ITransform;
|
|
VP8FTransform = FTransform;
|
|
|
|
VP8FTransformWHT = FTransformWHT;
|
|
|
|
VP8TDisto4x4 = Disto4x4;
|
|
VP8TDisto16x16 = Disto16x16;
|
|
VP8CollectHistogram = CollectHistogram;
|
|
VP8SSE16x16 = SSE16x16;
|
|
VP8SSE16x8 = SSE16x8;
|
|
VP8SSE8x8 = SSE8x8;
|
|
VP8SSE4x4 = SSE4x4;
|
|
#if !defined(WORK_AROUND_GCC)
|
|
VP8EncQuantizeBlock = QuantizeBlock;
|
|
#endif
|
|
#endif // WEBP_USE_NEON
|
|
}
|