/* * Copyright 2017 Google Inc. * * Use of this source code is governed by a BSD-style license that can be * found in the LICENSE file. */ #include "SkJumper.h" #include "SkJumper_misc.h" // SI, unaligned_load(), bit_cast() #include "SkJumper_vectors.h" // F, I32, U32, U16, U8, cast(), expand() // Our fundamental vector depth is our pixel stride. static const size_t kStride = sizeof(F) / sizeof(float); // A reminder: // Code guarded by defined(JUMPER) can assume that it will be compiled by Clang // and that F, I32, etc. are kStride-deep ext_vector_types of the appropriate type. // Otherwise, F, I32, etc. just alias the basic scalar types (and so kStride == 1). // You can use most constants in this file, but in a few rare exceptions we read from this struct. using K = const SkJumper_constants; // A little wrapper macro to name Stages differently depending on the instruction set. // That lets us link together several options. #if !defined(JUMPER) #define WRAP(name) sk_##name #elif defined(__aarch64__) #define WRAP(name) sk_##name##_aarch64 #elif defined(__arm__) #define WRAP(name) sk_##name##_vfp4 #elif defined(__AVX2__) #define WRAP(name) sk_##name##_hsw #elif defined(__AVX__) #define WRAP(name) sk_##name##_avx #elif defined(__SSE4_1__) #define WRAP(name) sk_##name##_sse41 #elif defined(__SSE2__) #define WRAP(name) sk_##name##_sse2 #endif // We're finally going to get to what a Stage function looks like! // tail == 0 ~~> work on a full kStride pixels // tail != 0 ~~> work on only the first tail pixels // tail is always < kStride. // // We keep program the second argument, so that it's passed in rsi for load_and_inc(). using Stage = void(K* k, void** program, size_t x, size_t y, size_t tail, F,F,F,F, F,F,F,F); #if defined(JUMPER) && defined(__AVX__) // We really want to make sure all paths go through this function's (implicit) vzeroupper. // If they don't, we'll experience severe slowdowns when we first use SSE instructions again. __attribute__((disable_tail_calls)) #endif MAYBE_MSABI extern "C" void WRAP(start_pipeline)(size_t x, size_t y, size_t limit, void** program, K* k) { F v{}; auto start = (Stage*)load_and_inc(program); while (x + kStride <= limit) { start(k,program,x,y,0, v,v,v,v, v,v,v,v); x += kStride; } if (size_t tail = limit - x) { start(k,program,x,y,tail, v,v,v,v, v,v,v,v); } } #define STAGE(name) \ SI void name##_k(K* k, LazyCtx ctx, size_t x, size_t y, size_t tail, \ F& r, F& g, F& b, F& a, F& dr, F& dg, F& db, F& da); \ extern "C" void WRAP(name)(K* k, void** program, size_t x, size_t y, size_t tail, \ F r, F g, F b, F a, F dr, F dg, F db, F da) { \ LazyCtx ctx(program); \ name##_k(k,ctx,x,y,tail, r,g,b,a, dr,dg,db,da); \ auto next = (Stage*)load_and_inc(program); \ next(k,program,x,y,tail, r,g,b,a, dr,dg,db,da); \ } \ SI void name##_k(K* k, LazyCtx ctx, size_t x, size_t y, size_t tail, \ F& r, F& g, F& b, F& a, F& dr, F& dg, F& db, F& da) // just_return() is a simple no-op stage that only exists to end the chain, // returning back up to start_pipeline(), and from there to the caller. extern "C" void WRAP(just_return)(K*, void**, size_t,size_t,size_t, F,F,F,F, F,F,F,F) {} // We could start defining normal Stages now. But first, some helper functions. // These load() and store() methods are tail-aware, // but focus mainly on keeping the at-stride tail==0 case fast. template SI V load(const T* src, size_t tail) { #if defined(JUMPER) __builtin_assume(tail < kStride); if (__builtin_expect(tail, 0)) { V v{}; // Any inactive lanes are zeroed. switch (tail-1) { case 6: v[6] = src[6]; case 5: v[5] = src[5]; case 4: v[4] = src[4]; case 3: v[3] = src[3]; case 2: v[2] = src[2]; case 1: v[1] = src[1]; case 0: v[0] = src[0]; } return v; } #endif return unaligned_load(src); } template SI void store(T* dst, V v, size_t tail) { #if defined(JUMPER) __builtin_assume(tail < kStride); if (__builtin_expect(tail, 0)) { switch (tail-1) { case 6: dst[6] = v[6]; case 5: dst[5] = v[5]; case 4: dst[4] = v[4]; case 3: dst[3] = v[3]; case 2: dst[2] = v[2]; case 1: dst[1] = v[1]; case 0: dst[0] = v[0]; } return; } #endif unaligned_store(dst, v); } // AVX adds some mask loads and stores that make for shorter, faster code. #if defined(JUMPER) && defined(__AVX__) SI U32 mask(size_t tail) { // We go a little out of our way to avoid needing large constant values here. // It's easiest to build the mask as 8 8-bit values, either 0x00 or 0xff. // Start fully on, then shift away lanes from the top until we've got our mask. uint64_t mask = 0xffffffffffffffff >> 8*(kStride-tail); // Sign-extend each mask lane to its full width, 0x00000000 or 0xffffffff. using S8 = int8_t __attribute__((ext_vector_type(8))); using S32 = int32_t __attribute__((ext_vector_type(8))); return (U32)__builtin_convertvector(unaligned_load(&mask), S32); } template <> inline U32 load(const uint32_t* src, size_t tail) { __builtin_assume(tail < kStride); if (__builtin_expect(tail, 0)) { return (U32)_mm256_maskload_ps((const float*)src, mask(tail)); } return unaligned_load(src); } template <> inline void store(uint32_t* dst, U32 v, size_t tail) { __builtin_assume(tail < kStride); if (__builtin_expect(tail, 0)) { return _mm256_maskstore_ps((float*)dst, mask(tail), (F)v); } unaligned_store(dst, v); } #endif SI F from_byte(U8 b) { return cast(expand(b)) * (1/255.0f); } SI void from_565(U16 _565, F* r, F* g, F* b) { U32 wide = expand(_565); *r = cast(wide & (31<<11)) * (1.0f / (31<<11)); *g = cast(wide & (63<< 5)) * (1.0f / (63<< 5)); *b = cast(wide & (31<< 0)) * (1.0f / (31<< 0)); } SI void from_4444(U16 _4444, F* r, F* g, F* b, F* a) { U32 wide = expand(_4444); *r = cast(wide & (15<<12)) * (1.0f / (15<<12)); *g = cast(wide & (15<< 8)) * (1.0f / (15<< 8)); *b = cast(wide & (15<< 4)) * (1.0f / (15<< 4)); *a = cast(wide & (15<< 0)) * (1.0f / (15<< 0)); } SI void from_8888(U32 _8888, F* r, F* g, F* b, F* a) { *r = cast((_8888 ) & 0xff) * (1/255.0f); *g = cast((_8888 >> 8) & 0xff) * (1/255.0f); *b = cast((_8888 >> 16) & 0xff) * (1/255.0f); *a = cast((_8888 >> 24) ) * (1/255.0f); } template SI U32 ix_and_ptr(T** ptr, const SkJumper_GatherCtx* ctx, F x, F y) { *ptr = (const T*)ctx->pixels; return trunc_(y)*ctx->stride + trunc_(x); } // Now finally, normal Stages! STAGE(seed_shader) { // It's important for speed to explicitly cast(x) and cast(y), // which has the effect of splatting them to vectors before converting to floats. // On Intel this breaks a data dependency on previous loop iterations' registers. r = cast(x) + 0.5f + unaligned_load(k->iota_F); g = cast(y) + 0.5f; b = 1.0f; a = 0; dr = dg = db = da = 0; } STAGE(dither) { auto rate = *(const float*)ctx; // Get [(x,y), (x+1,y), (x+2,y), ...] loaded up in integer vectors. U32 X = x + unaligned_load(k->iota_U32), Y = y; // We're doing 8x8 ordered dithering, see https://en.wikipedia.org/wiki/Ordered_dithering. // In this case n=8 and we're using the matrix that looks like 1/64 x [ 0 48 12 60 ... ]. // We only need X and X^Y from here on, so it's easier to just think of that as "Y". Y ^= X; // We'll mix the bottom 3 bits of each of X and Y to make 6 bits, // for 2^6 == 64 == 8x8 matrix values. If X=abc and Y=def, we make fcebda. U32 M = (Y & 1) << 5 | (X & 1) << 4 | (Y & 2) << 2 | (X & 2) << 1 | (Y & 4) >> 1 | (X & 4) >> 2; // Scale that dither to [0,1), then (-0.5,+0.5), here using 63/128 = 0.4921875 as 0.5-epsilon. // We want to make sure our dither is less than 0.5 in either direction to keep exact values // like 0 and 1 unchanged after rounding. F dither = cast(M) * (2/128.0f) - (63/128.0f); r += rate*dither; g += rate*dither; b += rate*dither; r = max(0, min(r, a)); g = max(0, min(g, a)); b = max(0, min(b, a)); } // load 4 floats from memory, and splat them into r,g,b,a STAGE(constant_color) { auto rgba = (const float*)ctx; r = rgba[0]; g = rgba[1]; b = rgba[2]; a = rgba[3]; } // load registers r,g,b,a from context (mirrors store_rgba) STAGE(load_rgba) { auto ptr = (const float*)ctx; r = unaligned_load(ptr + 0*kStride); g = unaligned_load(ptr + 1*kStride); b = unaligned_load(ptr + 2*kStride); a = unaligned_load(ptr + 3*kStride); } // store registers r,g,b,a into context (mirrors load_rgba) STAGE(store_rgba) { auto ptr = (float*)ctx; unaligned_store(ptr + 0*kStride, r); unaligned_store(ptr + 1*kStride, g); unaligned_store(ptr + 2*kStride, b); unaligned_store(ptr + 3*kStride, a); } // Most blend modes apply the same logic to each channel. #define BLEND_MODE(name) \ SI F name##_channel(F s, F d, F sa, F da); \ STAGE(name) { \ r = name##_channel(r,dr,a,da); \ g = name##_channel(g,dg,a,da); \ b = name##_channel(b,db,a,da); \ a = name##_channel(a,da,a,da); \ } \ SI F name##_channel(F s, F d, F sa, F da) SI F inv(F x) { return 1.0f - x; } SI F two(F x) { return x + x; } BLEND_MODE(clear) { return 0; } BLEND_MODE(srcatop) { return s*da + d*inv(sa); } BLEND_MODE(dstatop) { return d*sa + s*inv(da); } BLEND_MODE(srcin) { return s * da; } BLEND_MODE(dstin) { return d * sa; } BLEND_MODE(srcout) { return s * inv(da); } BLEND_MODE(dstout) { return d * inv(sa); } BLEND_MODE(srcover) { return mad(d, inv(sa), s); } BLEND_MODE(dstover) { return mad(s, inv(da), d); } BLEND_MODE(modulate) { return s*d; } BLEND_MODE(multiply) { return s*inv(da) + d*inv(sa) + s*d; } BLEND_MODE(plus_) { return s + d; } BLEND_MODE(screen) { return s + d - s*d; } BLEND_MODE(xor_) { return s*inv(da) + d*inv(sa); } #undef BLEND_MODE // Most other blend modes apply the same logic to colors, and srcover to alpha. #define BLEND_MODE(name) \ SI F name##_channel(F s, F d, F sa, F da); \ STAGE(name) { \ r = name##_channel(r,dr,a,da); \ g = name##_channel(g,dg,a,da); \ b = name##_channel(b,db,a,da); \ a = mad(da, inv(a), a); \ } \ SI F name##_channel(F s, F d, F sa, F da) BLEND_MODE(darken) { return s + d - max(s*da, d*sa) ; } BLEND_MODE(lighten) { return s + d - min(s*da, d*sa) ; } BLEND_MODE(difference) { return s + d - two(min(s*da, d*sa)); } BLEND_MODE(exclusion) { return s + d - two(s*d); } BLEND_MODE(colorburn) { return if_then_else(d == da, d + s*inv(da), if_then_else(s == 0, s + d*inv(sa), sa*(da - min(da, (da-d)*sa/s)) + s*inv(da) + d*inv(sa))); } BLEND_MODE(colordodge) { return if_then_else(d == 0, d + s*inv(da), if_then_else(s == sa, s + d*inv(sa), sa*min(da, (d*sa)/(sa - s)) + s*inv(da) + d*inv(sa))); } BLEND_MODE(hardlight) { return s*inv(da) + d*inv(sa) + if_then_else(two(s) <= sa, two(s*d), sa*da - two((da-d)*(sa-s))); } BLEND_MODE(overlay) { return s*inv(da) + d*inv(sa) + if_then_else(two(d) <= da, two(s*d), sa*da - two((da-d)*(sa-s))); } BLEND_MODE(softlight) { F m = if_then_else(da > 0, d / da, 0), s2 = two(s), m4 = two(two(m)); // The logic forks three ways: // 1. dark src? // 2. light src, dark dst? // 3. light src, light dst? F darkSrc = d*(sa + (s2 - sa)*(1.0f - m)), // Used in case 1. darkDst = (m4*m4 + m4)*(m - 1.0f) + 7.0f*m, // Used in case 2. liteDst = rcp(rsqrt(m)) - m, // Used in case 3. liteSrc = d*sa + da*(s2 - sa) * if_then_else(two(two(d)) <= da, darkDst, liteDst); // 2 or 3? return s*inv(da) + d*inv(sa) + if_then_else(s2 <= sa, darkSrc, liteSrc); // 1 or (2 or 3)? } #undef BLEND_MODE // We're basing our implemenation of non-separable blend modes on // https://www.w3.org/TR/compositing-1/#blendingnonseparable. // and // https://www.khronos.org/registry/OpenGL/specs/es/3.2/es_spec_3.2.pdf // They're equivalent, but ES' math has been better simplified. // // Anything extra we add beyond that is to make the math work with premul inputs. SI F max(F r, F g, F b) { return max(r, max(g, b)); } SI F min(F r, F g, F b) { return min(r, min(g, b)); } SI F sat(F r, F g, F b) { return max(r,g,b) - min(r,g,b); } SI F lum(F r, F g, F b) { return r*0.30f + g*0.59f + b*0.11f; } SI void set_sat(F* r, F* g, F* b, F s) { F mn = min(*r,*g,*b), mx = max(*r,*g,*b), sat = mx - mn; // Map min channel to 0, max channel to s, and scale the middle proportionally. auto scale = [=](F c) { return if_then_else(sat == 0, 0, (c - mn) * s / sat); }; *r = scale(*r); *g = scale(*g); *b = scale(*b); } SI void set_lum(F* r, F* g, F* b, F l) { F diff = l - lum(*r, *g, *b); *r += diff; *g += diff; *b += diff; } SI void clip_color(F* r, F* g, F* b, F a) { F mn = min(*r, *g, *b), mx = max(*r, *g, *b), l = lum(*r, *g, *b); auto clip = [=](F c) { c = if_then_else(mn >= 0, c, l + (c - l) * ( l) / (l - mn) ); c = if_then_else(mx > a, l + (c - l) * (a - l) / (mx - l), c); c = max(c, 0); // Sometimes without this we may dip just a little negative. return c; }; *r = clip(*r); *g = clip(*g); *b = clip(*b); } STAGE(hue) { F R = r*a, G = g*a, B = b*a; set_sat(&R, &G, &B, sat(dr,dg,db)*a); set_lum(&R, &G, &B, lum(dr,dg,db)*a); clip_color(&R,&G,&B, a*da); r = r*inv(da) + dr*inv(a) + R; g = g*inv(da) + dg*inv(a) + G; b = b*inv(da) + db*inv(a) + B; a = a + da - a*da; } STAGE(saturation) { F R = dr*a, G = dg*a, B = db*a; set_sat(&R, &G, &B, sat( r, g, b)*da); set_lum(&R, &G, &B, lum(dr,dg,db)* a); // (This is not redundant.) clip_color(&R,&G,&B, a*da); r = r*inv(da) + dr*inv(a) + R; g = g*inv(da) + dg*inv(a) + G; b = b*inv(da) + db*inv(a) + B; a = a + da - a*da; } STAGE(color) { F R = r*da, G = g*da, B = b*da; set_lum(&R, &G, &B, lum(dr,dg,db)*a); clip_color(&R,&G,&B, a*da); r = r*inv(da) + dr*inv(a) + R; g = g*inv(da) + dg*inv(a) + G; b = b*inv(da) + db*inv(a) + B; a = a + da - a*da; } STAGE(luminosity) { F R = dr*a, G = dg*a, B = db*a; set_lum(&R, &G, &B, lum(r,g,b)*da); clip_color(&R,&G,&B, a*da); r = r*inv(da) + dr*inv(a) + R; g = g*inv(da) + dg*inv(a) + G; b = b*inv(da) + db*inv(a) + B; a = a + da - a*da; } STAGE(srcover_rgba_8888) { auto ptr = *(uint32_t**)ctx + x; U32 dst = load(ptr, tail); dr = cast((dst ) & 0xff); dg = cast((dst >> 8) & 0xff); db = cast((dst >> 16) & 0xff); da = cast((dst >> 24) ); // {dr,dg,db,da} are in [0,255] // { r, g, b, a} are in [0, 1] r = mad(dr, inv(a), r*255.0f); g = mad(dg, inv(a), g*255.0f); b = mad(db, inv(a), b*255.0f); a = mad(da, inv(a), a*255.0f); // { r, g, b, a} are now in [0,255] dst = round(r, 1.0f) | round(g, 1.0f) << 8 | round(b, 1.0f) << 16 | round(a, 1.0f) << 24; store(ptr, dst, tail); } STAGE(clamp_0) { r = max(r, 0); g = max(g, 0); b = max(b, 0); a = max(a, 0); } STAGE(clamp_1) { r = min(r, 1.0f); g = min(g, 1.0f); b = min(b, 1.0f); a = min(a, 1.0f); } STAGE(clamp_a) { a = min(a, 1.0f); r = min(r, a); g = min(g, a); b = min(b, a); } STAGE(set_rgb) { auto rgb = (const float*)ctx; r = rgb[0]; g = rgb[1]; b = rgb[2]; } STAGE(swap_rb) { auto tmp = r; r = b; b = tmp; } STAGE(swap) { auto swap = [](F& v, F& dv) { auto tmp = v; v = dv; dv = tmp; }; swap(r, dr); swap(g, dg); swap(b, db); swap(a, da); } STAGE(move_src_dst) { dr = r; dg = g; db = b; da = a; } STAGE(move_dst_src) { r = dr; g = dg; b = db; a = da; } STAGE(premul) { r = r * a; g = g * a; b = b * a; } STAGE(unpremul) { auto scale = if_then_else(a == 0, 0, 1.0f / a); r *= scale; g *= scale; b *= scale; } STAGE(from_srgb) { auto fn = [&](F s) { auto lo = s * (1/12.92f); auto hi = mad(s*s, mad(s, 0.3000f, 0.6975f), 0.0025f); return if_then_else(s < 0.055f, lo, hi); }; r = fn(r); g = fn(g); b = fn(b); } STAGE(to_srgb) { auto fn = [&](F l) { // We tweak c and d for each instruction set to make sure fn(1) is exactly 1. #if defined(JUMPER) && defined(__SSE2__) const float c = 1.130048394203f, d = 0.141357362270f; #elif defined(JUMPER) && (defined(__aarch64__) || defined(__arm__)) const float c = 1.129999995232f, d = 0.141381442547f; #else const float c = 1.129999995232f, d = 0.141377761960f; #endif F t = rsqrt(l); auto lo = l * 12.92f; auto hi = mad(t, mad(t, -0.0024542345f, 0.013832027f), c) * rcp(d + t); return if_then_else(l < 0.00465985f, lo, hi); }; r = fn(r); g = fn(g); b = fn(b); } STAGE(rgb_to_hsl) { F mx = max(max(r,g), b), mn = min(min(r,g), b), d = mx - mn, d_rcp = 1.0f / d; F h = (1/6.0f) * if_then_else(mx == mn, 0, if_then_else(mx == r, (g-b)*d_rcp + if_then_else(g < b, 6.0f, 0), if_then_else(mx == g, (b-r)*d_rcp + 2.0f, (r-g)*d_rcp + 4.0f))); F l = (mx + mn) * 0.5f; F s = if_then_else(mx == mn, 0, d / if_then_else(l > 0.5f, 2.0f-mx-mn, mx+mn)); r = h; g = s; b = l; } STAGE(hsl_to_rgb) { F h = r, s = g, l = b; F q = l + if_then_else(l >= 0.5f, s - l*s, l*s), p = 2.0f*l - q; auto hue_to_rgb = [&](F t) { t = fract(t); F r = p; r = if_then_else(t >= 4/6.0f, r, p + (q-p)*(4.0f - 6.0f*t)); r = if_then_else(t >= 3/6.0f, r, q); r = if_then_else(t >= 1/6.0f, r, p + (q-p)*( 6.0f*t)); return r; }; r = if_then_else(s == 0, l, hue_to_rgb(h + (1/3.0f))); g = if_then_else(s == 0, l, hue_to_rgb(h )); b = if_then_else(s == 0, l, hue_to_rgb(h - (1/3.0f))); } STAGE(scale_1_float) { auto c = *(const float*)ctx; r = r * c; g = g * c; b = b * c; a = a * c; } STAGE(scale_u8) { auto ptr = *(const uint8_t**)ctx + x; auto scales = load(ptr, tail); auto c = from_byte(scales); r = r * c; g = g * c; b = b * c; a = a * c; } SI F lerp(F from, F to, F t) { return mad(to-from, t, from); } STAGE(lerp_1_float) { auto c = *(const float*)ctx; r = lerp(dr, r, c); g = lerp(dg, g, c); b = lerp(db, b, c); a = lerp(da, a, c); } STAGE(lerp_u8) { auto ptr = *(const uint8_t**)ctx + x; auto scales = load(ptr, tail); auto c = from_byte(scales); r = lerp(dr, r, c); g = lerp(dg, g, c); b = lerp(db, b, c); a = lerp(da, a, c); } STAGE(lerp_565) { auto ptr = *(const uint16_t**)ctx + x; F cr,cg,cb; from_565(load(ptr, tail), &cr, &cg, &cb); r = lerp(dr, r, cr); g = lerp(dg, g, cg); b = lerp(db, b, cb); a = max(lerp(da, a, cr), lerp(da, a, cg), lerp(da, a, cb)); } STAGE(load_tables) { auto c = (const SkJumper_LoadTablesCtx*)ctx; auto px = load((const uint32_t*)c->src + x, tail); r = gather(c->r, (px ) & 0xff); g = gather(c->g, (px >> 8) & 0xff); b = gather(c->b, (px >> 16) & 0xff); a = cast( (px >> 24)) * (1/255.0f); } STAGE(load_tables_u16_be) { auto c = (const SkJumper_LoadTablesCtx*)ctx; auto ptr = (const uint16_t*)c->src + 4*x; U16 R,G,B,A; load4(ptr, tail, &R,&G,&B,&A); // c->src is big-endian, so & 0xff grabs the 8 most signficant bits. r = gather(c->r, expand(R) & 0xff); g = gather(c->g, expand(G) & 0xff); b = gather(c->b, expand(B) & 0xff); a = (1/65535.0f) * cast(expand(bswap(A))); } STAGE(load_tables_rgb_u16_be) { auto c = (const SkJumper_LoadTablesCtx*)ctx; auto ptr = (const uint16_t*)c->src + 3*x; U16 R,G,B; load3(ptr, tail, &R,&G,&B); // c->src is big-endian, so & 0xff grabs the 8 most signficant bits. r = gather(c->r, expand(R) & 0xff); g = gather(c->g, expand(G) & 0xff); b = gather(c->b, expand(B) & 0xff); a = 1.0f; } STAGE(byte_tables) { struct Tables { const uint8_t *r, *g, *b, *a; }; auto tables = (const Tables*)ctx; r = from_byte(gather(tables->r, round(r, 255.0f))); g = from_byte(gather(tables->g, round(g, 255.0f))); b = from_byte(gather(tables->b, round(b, 255.0f))); a = from_byte(gather(tables->a, round(a, 255.0f))); } STAGE(byte_tables_rgb) { struct Tables { const uint8_t *r, *g, *b; int n; }; auto tables = (const Tables*)ctx; F scale = tables->n - 1; r = from_byte(gather(tables->r, round(r, scale))); g = from_byte(gather(tables->g, round(g, scale))); b = from_byte(gather(tables->b, round(b, scale))); } SI F table(F v, const SkJumper_TableCtx* ctx) { return gather(ctx->table, round(v, ctx->size - 1)); } STAGE(table_r) { r = table(r, ctx); } STAGE(table_g) { g = table(g, ctx); } STAGE(table_b) { b = table(b, ctx); } STAGE(table_a) { a = table(a, ctx); } SI F parametric(F v, const SkJumper_ParametricTransferFunction* ctx) { F r = if_then_else(v <= ctx->D, mad(ctx->C, v, ctx->F) , approx_powf(mad(ctx->A, v, ctx->B), ctx->G) + ctx->E); return min(max(r, 0), 1.0f); // Clamp to [0,1], with argument order mattering to handle NaN. } STAGE(parametric_r) { r = parametric(r, ctx); } STAGE(parametric_g) { g = parametric(g, ctx); } STAGE(parametric_b) { b = parametric(b, ctx); } STAGE(parametric_a) { a = parametric(a, ctx); } STAGE(lab_to_xyz) { F L = r * 100.0f, A = g * 255.0f - 128.0f, B = b * 255.0f - 128.0f; F Y = (L + 16.0f) * (1/116.0f), X = Y + A*(1/500.0f), Z = Y - B*(1/200.0f); X = if_then_else(X*X*X > 0.008856f, X*X*X, (X - (16/116.0f)) * (1/7.787f)); Y = if_then_else(Y*Y*Y > 0.008856f, Y*Y*Y, (Y - (16/116.0f)) * (1/7.787f)); Z = if_then_else(Z*Z*Z > 0.008856f, Z*Z*Z, (Z - (16/116.0f)) * (1/7.787f)); // Adjust to D50 illuminant. r = X * 0.96422f; g = Y ; b = Z * 0.82521f; } STAGE(load_a8) { auto ptr = *(const uint8_t**)ctx + x; r = g = b = 0.0f; a = from_byte(load(ptr, tail)); } STAGE(gather_a8) { const uint8_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); r = g = b = 0.0f; a = from_byte(gather(ptr, ix)); } STAGE(store_a8) { auto ptr = *(uint8_t**)ctx + x; U8 packed = pack(pack(round(a, 255.0f))); store(ptr, packed, tail); } STAGE(load_g8) { auto ptr = *(const uint8_t**)ctx + x; r = g = b = from_byte(load(ptr, tail)); a = 1.0f; } STAGE(gather_g8) { const uint8_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); r = g = b = from_byte(gather(ptr, ix)); a = 1.0f; } STAGE(gather_i8) { auto c = (const SkJumper_GatherCtx*)ctx; const uint8_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); ix = expand(gather(ptr, ix)); from_8888(gather(c->ctable, ix), &r,&g,&b,&a); } STAGE(load_565) { auto ptr = *(const uint16_t**)ctx + x; from_565(load(ptr, tail), &r,&g,&b); a = 1.0f; } STAGE(gather_565) { const uint16_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); from_565(gather(ptr, ix), &r,&g,&b); a = 1.0f; } STAGE(store_565) { auto ptr = *(uint16_t**)ctx + x; U16 px = pack( round(r, 31.0f) << 11 | round(g, 63.0f) << 5 | round(b, 31.0f) ); store(ptr, px, tail); } STAGE(load_4444) { auto ptr = *(const uint16_t**)ctx + x; from_4444(load(ptr, tail), &r,&g,&b,&a); } STAGE(gather_4444) { const uint16_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); from_4444(gather(ptr, ix), &r,&g,&b,&a); } STAGE(store_4444) { auto ptr = *(uint16_t**)ctx + x; U16 px = pack( round(r, 15.0f) << 12 | round(g, 15.0f) << 8 | round(b, 15.0f) << 4 | round(a, 15.0f) ); store(ptr, px, tail); } STAGE(load_8888) { auto ptr = *(const uint32_t**)ctx + x; from_8888(load(ptr, tail), &r,&g,&b,&a); } STAGE(gather_8888) { const uint32_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); from_8888(gather(ptr, ix), &r,&g,&b,&a); } STAGE(store_8888) { auto ptr = *(uint32_t**)ctx + x; U32 px = round(r, 255.0f) | round(g, 255.0f) << 8 | round(b, 255.0f) << 16 | round(a, 255.0f) << 24; store(ptr, px, tail); } STAGE(load_f16) { auto ptr = *(const uint64_t**)ctx + x; U16 R,G,B,A; load4((const uint16_t*)ptr,tail, &R,&G,&B,&A); r = from_half(R); g = from_half(G); b = from_half(B); a = from_half(A); } STAGE(gather_f16) { const uint64_t* ptr; U32 ix = ix_and_ptr(&ptr, ctx, r,g); auto px = gather(ptr, ix); U16 R,G,B,A; load4((const uint16_t*)&px,0, &R,&G,&B,&A); r = from_half(R); g = from_half(G); b = from_half(B); a = from_half(A); } STAGE(store_f16) { auto ptr = *(uint64_t**)ctx + x; store4((uint16_t*)ptr,tail, to_half(r) , to_half(g) , to_half(b) , to_half(a)); } STAGE(load_u16_be) { auto ptr = *(const uint16_t**)ctx + 4*x; U16 R,G,B,A; load4(ptr,tail, &R,&G,&B,&A); r = (1/65535.0f) * cast(expand(bswap(R))); g = (1/65535.0f) * cast(expand(bswap(G))); b = (1/65535.0f) * cast(expand(bswap(B))); a = (1/65535.0f) * cast(expand(bswap(A))); } STAGE(load_rgb_u16_be) { auto ptr = *(const uint16_t**)ctx + 3*x; U16 R,G,B; load3(ptr,tail, &R,&G,&B); r = (1/65535.0f) * cast(expand(bswap(R))); g = (1/65535.0f) * cast(expand(bswap(G))); b = (1/65535.0f) * cast(expand(bswap(B))); a = 1.0f; } STAGE(store_u16_be) { auto ptr = *(uint16_t**)ctx + 4*x; U16 R = bswap(pack(round(r, 65535.0f))), G = bswap(pack(round(g, 65535.0f))), B = bswap(pack(round(b, 65535.0f))), A = bswap(pack(round(a, 65535.0f))); store4(ptr,tail, R,G,B,A); } STAGE(load_f32) { auto ptr = *(const float**)ctx + 4*x; load4(ptr,tail, &r,&g,&b,&a); } STAGE(store_f32) { auto ptr = *(float**)ctx + 4*x; store4(ptr,tail, r,g,b,a); } SI F ulp_before(F f) { U32 bits = -1 + unaligned_load(&f); return unaligned_load(&bits); } SI F exclusive_clamp(F v, float limit) { v = max(0,v); return min(v, ulp_before(limit)); } SI F exclusive_repeat(F v, float limit) { v = v - floor_(v/limit)*limit; return min(v, ulp_before(limit)); } SI F exclusive_mirror(F v, float limit) { v = abs_( (v-limit) - (limit+limit)*floor_((v-limit)/(limit+limit)) - limit ); return min(v, ulp_before(limit)); } // Clamp x or y to [0,limit) == [0,limit - 1 ulp] (think, sampling from images). STAGE(clamp_x) { r = exclusive_clamp (r, *(const float*)ctx); } STAGE(clamp_y) { g = exclusive_clamp (g, *(const float*)ctx); } STAGE(repeat_x) { r = exclusive_repeat(r, *(const float*)ctx); } STAGE(repeat_y) { g = exclusive_repeat(g, *(const float*)ctx); } STAGE(mirror_x) { r = exclusive_mirror(r, *(const float*)ctx); } STAGE(mirror_y) { g = exclusive_mirror(g, *(const float*)ctx); } // Clamp x to [0,1], both sides exclusive (think, gradients). STAGE( clamp_x_1) { r = min(max(0, r), 1.0f); } STAGE(repeat_x_1) { r = r - floor_(r); } STAGE(mirror_x_1) { r = abs_( (r-1.0f) - two(floor_((r-1.0f)*0.5f)) - 1.0f ); } STAGE(luminance_to_alpha) { a = r*0.2126f + g*0.7152f + b*0.0722f; r = g = b = 0; } STAGE(matrix_2x3) { auto m = (const float*)ctx; auto R = mad(r,m[0], mad(g,m[2], m[4])), G = mad(r,m[1], mad(g,m[3], m[5])); r = R; g = G; } STAGE(matrix_3x4) { auto m = (const float*)ctx; auto R = mad(r,m[0], mad(g,m[3], mad(b,m[6], m[ 9]))), G = mad(r,m[1], mad(g,m[4], mad(b,m[7], m[10]))), B = mad(r,m[2], mad(g,m[5], mad(b,m[8], m[11]))); r = R; g = G; b = B; } STAGE(matrix_4x5) { auto m = (const float*)ctx; auto R = mad(r,m[0], mad(g,m[4], mad(b,m[ 8], mad(a,m[12], m[16])))), G = mad(r,m[1], mad(g,m[5], mad(b,m[ 9], mad(a,m[13], m[17])))), B = mad(r,m[2], mad(g,m[6], mad(b,m[10], mad(a,m[14], m[18])))), A = mad(r,m[3], mad(g,m[7], mad(b,m[11], mad(a,m[15], m[19])))); r = R; g = G; b = B; a = A; } STAGE(matrix_4x3) { auto m = (const float*)ctx; auto X = r, Y = g; r = mad(X, m[0], mad(Y, m[4], m[ 8])); g = mad(X, m[1], mad(Y, m[5], m[ 9])); b = mad(X, m[2], mad(Y, m[6], m[10])); a = mad(X, m[3], mad(Y, m[7], m[11])); } STAGE(matrix_perspective) { // N.B. Unlike the other matrix_ stages, this matrix is row-major. auto m = (const float*)ctx; auto R = mad(r,m[0], mad(g,m[1], m[2])), G = mad(r,m[3], mad(g,m[4], m[5])), Z = mad(r,m[6], mad(g,m[7], m[8])); r = R * rcp(Z); g = G * rcp(Z); } SI void gradient_lookup(const SkJumper_GradientCtx* c, U32 idx, F t, F* r, F* g, F* b, F* a) { F fr, br, fg, bg, fb, bb, fa, ba; #if defined(JUMPER) && defined(__AVX2__) if (c->stopCount <=8) { fr = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->fs[0]), idx); br = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->bs[0]), idx); fg = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->fs[1]), idx); bg = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->bs[1]), idx); fb = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->fs[2]), idx); bb = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->bs[2]), idx); fa = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->fs[3]), idx); ba = _mm256_permutevar8x32_ps(_mm256_loadu_ps(c->bs[3]), idx); } else #endif { fr = gather(c->fs[0], idx); br = gather(c->bs[0], idx); fg = gather(c->fs[1], idx); bg = gather(c->bs[1], idx); fb = gather(c->fs[2], idx); bb = gather(c->bs[2], idx); fa = gather(c->fs[3], idx); ba = gather(c->bs[3], idx); } *r = mad(t, fr, br); *g = mad(t, fg, bg); *b = mad(t, fb, bb); *a = mad(t, fa, ba); } STAGE(evenly_spaced_gradient) { auto c = (const SkJumper_GradientCtx*)ctx; auto t = r; auto idx = trunc_(t * (c->stopCount-1)); gradient_lookup(c, idx, t, &r, &g, &b, &a); } STAGE(gauss_a_to_rgba) { // x = 1 - x; // exp(-x * x * 4) - 0.018f; // ... now approximate with quartic // const float c4 = -2.26661229133605957031f; const float c3 = 2.89795351028442382812f; const float c2 = 0.21345567703247070312f; const float c1 = 0.15489584207534790039f; const float c0 = 0.00030726194381713867f; a = mad(a, mad(a, mad(a, mad(a, c4, c3), c2), c1), c0); r = a; g = a; b = a; } STAGE(gradient) { auto c = (const SkJumper_GradientCtx*)ctx; auto t = r; U32 idx = 0; // N.B. The loop starts at 1 because idx 0 is the color to use before the first stop. for (size_t i = 1; i < c->stopCount; i++) { idx += if_then_else(t >= c->ts[i], U32(1), U32(0)); } gradient_lookup(c, idx, t, &r, &g, &b, &a); } STAGE(evenly_spaced_2_stop_gradient) { struct Ctx { float f[4], b[4]; }; auto c = (const Ctx*)ctx; auto t = r; r = mad(t, c->f[0], c->b[0]); g = mad(t, c->f[1], c->b[1]); b = mad(t, c->f[2], c->b[2]); a = mad(t, c->f[3], c->b[3]); } STAGE(xy_to_unit_angle) { F X = r, Y = g; F xabs = abs_(X), yabs = abs_(Y); F slope = min(xabs, yabs)/max(xabs, yabs); F s = slope * slope; // Use a 7th degree polynomial to approximate atan. // This was generated using sollya.gforge.inria.fr. // A float optimized polynomial was generated using the following command. // P1 = fpminimax((1/(2*Pi))*atan(x),[|1,3,5,7|],[|24...|],[2^(-40),1],relative); F phi = slope * (0.15912117063999176025390625f + s * (-5.185396969318389892578125e-2f + s * (2.476101927459239959716796875e-2f + s * (-7.0547382347285747528076171875e-3f)))); phi = if_then_else(xabs < yabs, 1.0f/4.0f - phi, phi); phi = if_then_else(X < 0.0f , 1.0f/2.0f - phi, phi); phi = if_then_else(Y < 0.0f , 1.0f - phi , phi); phi = if_then_else(phi != phi , 0 , phi); // Check for NaN. r = phi; } STAGE(xy_to_radius) { F X2 = r * r, Y2 = g * g; r = sqrt_(X2 + Y2); } STAGE(save_xy) { auto c = (SkJumper_SamplerCtx*)ctx; // Whether bilinear or bicubic, all sample points are at the same fractional offset (fx,fy). // They're either the 4 corners of a logical 1x1 pixel or the 16 corners of a 3x3 grid // surrounding (x,y) at (0.5,0.5) off-center. F fx = fract(r + 0.5f), fy = fract(g + 0.5f); // Samplers will need to load x and fx, or y and fy. unaligned_store(c->x, r); unaligned_store(c->y, g); unaligned_store(c->fx, fx); unaligned_store(c->fy, fy); } STAGE(accumulate) { auto c = (const SkJumper_SamplerCtx*)ctx; // Bilinear and bicubic filters are both separable, so we produce independent contributions // from x and y, multiplying them together here to get each pixel's total scale factor. auto scale = unaligned_load(c->scalex) * unaligned_load(c->scaley); dr = mad(scale, r, dr); dg = mad(scale, g, dg); db = mad(scale, b, db); da = mad(scale, a, da); } // In bilinear interpolation, the 4 pixels at +/- 0.5 offsets from the sample pixel center // are combined in direct proportion to their area overlapping that logical query pixel. // At positive offsets, the x-axis contribution to that rectangle is fx, or (1-fx) at negative x. // The y-axis is symmetric. template SI void bilinear_x(SkJumper_SamplerCtx* ctx, F* x) { *x = unaligned_load(ctx->x) + (kScale * 0.5f); F fx = unaligned_load(ctx->fx); F scalex; if (kScale == -1) { scalex = 1.0f - fx; } if (kScale == +1) { scalex = fx; } unaligned_store(ctx->scalex, scalex); } template SI void bilinear_y(SkJumper_SamplerCtx* ctx, F* y) { *y = unaligned_load(ctx->y) + (kScale * 0.5f); F fy = unaligned_load(ctx->fy); F scaley; if (kScale == -1) { scaley = 1.0f - fy; } if (kScale == +1) { scaley = fy; } unaligned_store(ctx->scaley, scaley); } STAGE(bilinear_nx) { bilinear_x<-1>(ctx, &r); } STAGE(bilinear_px) { bilinear_x<+1>(ctx, &r); } STAGE(bilinear_ny) { bilinear_y<-1>(ctx, &g); } STAGE(bilinear_py) { bilinear_y<+1>(ctx, &g); } // In bicubic interpolation, the 16 pixels and +/- 0.5 and +/- 1.5 offsets from the sample // pixel center are combined with a non-uniform cubic filter, with higher values near the center. // // We break this function into two parts, one for near 0.5 offsets and one for far 1.5 offsets. // See GrCubicEffect for details of this particular filter. SI F bicubic_near(F t) { // 1/18 + 9/18t + 27/18t^2 - 21/18t^3 == t ( t ( -21/18t + 27/18) + 9/18) + 1/18 return mad(t, mad(t, mad((-21/18.0f), t, (27/18.0f)), (9/18.0f)), (1/18.0f)); } SI F bicubic_far(F t) { // 0/18 + 0/18*t - 6/18t^2 + 7/18t^3 == t^2 (7/18t - 6/18) return (t*t)*mad((7/18.0f), t, (-6/18.0f)); } template SI void bicubic_x(SkJumper_SamplerCtx* ctx, F* x) { *x = unaligned_load(ctx->x) + (kScale * 0.5f); F fx = unaligned_load(ctx->fx); F scalex; if (kScale == -3) { scalex = bicubic_far (1.0f - fx); } if (kScale == -1) { scalex = bicubic_near(1.0f - fx); } if (kScale == +1) { scalex = bicubic_near( fx); } if (kScale == +3) { scalex = bicubic_far ( fx); } unaligned_store(ctx->scalex, scalex); } template SI void bicubic_y(SkJumper_SamplerCtx* ctx, F* y) { *y = unaligned_load(ctx->y) + (kScale * 0.5f); F fy = unaligned_load(ctx->fy); F scaley; if (kScale == -3) { scaley = bicubic_far (1.0f - fy); } if (kScale == -1) { scaley = bicubic_near(1.0f - fy); } if (kScale == +1) { scaley = bicubic_near( fy); } if (kScale == +3) { scaley = bicubic_far ( fy); } unaligned_store(ctx->scaley, scaley); } STAGE(bicubic_n3x) { bicubic_x<-3>(ctx, &r); } STAGE(bicubic_n1x) { bicubic_x<-1>(ctx, &r); } STAGE(bicubic_p1x) { bicubic_x<+1>(ctx, &r); } STAGE(bicubic_p3x) { bicubic_x<+3>(ctx, &r); } STAGE(bicubic_n3y) { bicubic_y<-3>(ctx, &g); } STAGE(bicubic_n1y) { bicubic_y<-1>(ctx, &g); } STAGE(bicubic_p1y) { bicubic_y<+1>(ctx, &g); } STAGE(bicubic_p3y) { bicubic_y<+3>(ctx, &g); } STAGE(callback) { auto c = (SkJumper_CallbackCtx*)ctx; store4(c->rgba,0, r,g,b,a); c->fn(c, tail ? tail : kStride); load4(c->read_from,0, &r,&g,&b,&a); }