/src/libjxl/lib/jxl/simd_util-inl.h
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1 | | // Copyright (c) the JPEG XL Project Authors. All rights reserved. |
2 | | // |
3 | | // Use of this source code is governed by a BSD-style |
4 | | // license that can be found in the LICENSE file. |
5 | | |
6 | | // Misc utilities for SIMD operations |
7 | | |
8 | | #if defined(LIB_JXL_SIMD_UTIL_INL_H_) == defined(HWY_TARGET_TOGGLE) |
9 | | #ifdef LIB_JXL_SIMD_UTIL_INL_H_ |
10 | | #undef LIB_JXL_SIMD_UTIL_INL_H_ |
11 | | #else |
12 | | #define LIB_JXL_SIMD_UTIL_INL_H_ |
13 | | #endif |
14 | | |
15 | | #include <hwy/highway.h> |
16 | | |
17 | | #include "lib/jxl/base/compiler_specific.h" |
18 | | |
19 | | HWY_BEFORE_NAMESPACE(); |
20 | | namespace jxl { |
21 | | namespace HWY_NAMESPACE { |
22 | | |
23 | | #if HWY_CAP_GE512 |
24 | | using hwy::HWY_NAMESPACE::Half; |
25 | | using hwy::HWY_NAMESPACE::Vec; |
26 | | template <size_t i, class DF, class V> |
27 | | HWY_INLINE Vec<Half<Half<DF>>> Quarter(const DF df, V v) { |
28 | | using HF = Half<DF>; |
29 | | using HHF = Half<HF>; |
30 | | auto half = i >= 2 ? UpperHalf(HF(), v) : LowerHalf(HF(), v); |
31 | | return i & 1 ? UpperHalf(HHF(), half) : LowerHalf(HHF(), half); |
32 | | } |
33 | | |
34 | | template <class DF, class V> |
35 | | HWY_INLINE Vec<DF> Concat4(const DF df, V v0, V v1, V v2, V v3) { |
36 | | using HF = Half<DF>; |
37 | | return Combine(DF(), Combine(HF(), v3, v2), Combine(HF(), v1, v0)); |
38 | | } |
39 | | |
40 | | #endif |
41 | | |
42 | | // Stores v0[0], v1[0], v0[1], v1[1], ... to mem, in this order. Mem must be |
43 | | // aligned. |
44 | | template <class DF, class V, typename T> |
45 | 191M | void StoreInterleaved(const DF df, V v0, V v1, T* mem) { |
46 | 191M | static_assert(sizeof(T) == 4, "only use StoreInterleaved for 4-byte types"); |
47 | 191M | #if HWY_TARGET == HWY_SCALAR |
48 | 191M | Store(v0, df, mem); |
49 | 191M | Store(v1, df, mem + 1); |
50 | | #elif !HWY_CAP_GE256 |
51 | | Store(InterleaveLower(df, v0, v1), df, mem); |
52 | | Store(InterleaveUpper(df, v0, v1), df, mem + Lanes(df)); |
53 | | #else |
54 | | if (!HWY_CAP_GE512 || Lanes(df) == 8) { |
55 | | auto t0 = InterleaveLower(df, v0, v1); |
56 | | auto t1 = InterleaveUpper(df, v0, v1); |
57 | | Store(ConcatLowerLower(df, t1, t0), df, mem); |
58 | | Store(ConcatUpperUpper(df, t1, t0), df, mem + Lanes(df)); |
59 | | } else { |
60 | | #if HWY_CAP_GE512 |
61 | | auto t0 = InterleaveLower(df, v0, v1); |
62 | | auto t1 = InterleaveUpper(df, v0, v1); |
63 | | Store(Concat4(df, Quarter<0>(df, t0), Quarter<0>(df, t1), |
64 | | Quarter<1>(df, t0), Quarter<1>(df, t1)), |
65 | | df, mem); |
66 | | Store(Concat4(df, Quarter<2>(df, t0), Quarter<2>(df, t1), |
67 | | Quarter<3>(df, t0), Quarter<3>(df, t1)), |
68 | | df, mem + Lanes(df)); |
69 | | #endif |
70 | | } |
71 | | #endif |
72 | 191M | } |
73 | | |
74 | | // Stores v0[0], v1[0], v2[0], v3[0], v0[1] ... to mem, in this order. Mem must |
75 | | // be aligned. |
76 | | template <class DF, class V, typename T> |
77 | 93.9M | void StoreInterleaved(const DF df, V v0, V v1, V v2, V v3, T* mem) { |
78 | 93.9M | static_assert(sizeof(T) == 4, "only use StoreInterleaved for 4-byte types"); |
79 | 93.9M | #if HWY_TARGET == HWY_SCALAR |
80 | 93.9M | Store(v0, df, mem); |
81 | 93.9M | Store(v1, df, mem + 1); |
82 | 93.9M | Store(v2, df, mem + 2); |
83 | 93.9M | Store(v3, df, mem + 3); |
84 | | #elif !HWY_CAP_GE256 |
85 | | auto t0 = InterleaveLower(df, v0, v2); |
86 | | auto t1 = InterleaveLower(df, v1, v3); |
87 | | auto t2 = InterleaveUpper(df, v0, v2); |
88 | | auto t3 = InterleaveUpper(df, v1, v3); |
89 | | Store(InterleaveLower(df, t0, t1), df, mem); |
90 | | Store(InterleaveUpper(df, t0, t1), df, mem + Lanes(df)); |
91 | | Store(InterleaveLower(df, t2, t3), df, mem + 2 * Lanes(df)); |
92 | | Store(InterleaveUpper(df, t2, t3), df, mem + 3 * Lanes(df)); |
93 | | #elif !HWY_CAP_GE512 |
94 | | auto t0 = InterleaveLower(df, v0, v2); |
95 | | auto t1 = InterleaveLower(df, v1, v3); |
96 | | auto t2 = InterleaveUpper(df, v0, v2); |
97 | | auto t3 = InterleaveUpper(df, v1, v3); |
98 | | |
99 | | auto m0 = InterleaveLower(df, t0, t1); |
100 | | auto m1 = InterleaveUpper(df, t0, t1); |
101 | | auto m2 = InterleaveLower(df, t2, t3); |
102 | | auto m3 = InterleaveUpper(df, t2, t3); |
103 | | |
104 | | Store(ConcatLowerLower(df, m1, m0), df, mem); |
105 | | Store(ConcatLowerLower(df, m3, m2), df, mem + Lanes(df)); |
106 | | Store(ConcatUpperUpper(df, m1, m0), df, mem + 2 * Lanes(df)); |
107 | | Store(ConcatUpperUpper(df, m3, m2), df, mem + 3 * Lanes(df)); |
108 | | #else |
109 | | auto t0 = InterleaveLower(df, v0, v2); |
110 | | auto t1 = InterleaveLower(df, v1, v3); |
111 | | auto t2 = InterleaveUpper(df, v0, v2); |
112 | | auto t3 = InterleaveUpper(df, v1, v3); |
113 | | |
114 | | auto m0 = InterleaveLower(df, t0, t1); |
115 | | auto m1 = InterleaveUpper(df, t0, t1); |
116 | | auto m2 = InterleaveLower(df, t2, t3); |
117 | | auto m3 = InterleaveUpper(df, t2, t3); |
118 | | |
119 | | Store(Concat4(df, Quarter<0>(df, m0), Quarter<0>(df, m1), Quarter<0>(df, m2), |
120 | | Quarter<0>(df, m3)), |
121 | | df, mem); |
122 | | Store(Concat4(df, Quarter<1>(df, m0), Quarter<1>(df, m1), Quarter<1>(df, m2), |
123 | | Quarter<1>(df, m3)), |
124 | | df, mem + Lanes(df)); |
125 | | Store(Concat4(df, Quarter<2>(df, m0), Quarter<2>(df, m1), Quarter<2>(df, m2), |
126 | | Quarter<2>(df, m3)), |
127 | | df, mem + 2 * Lanes(df)); |
128 | | Store(Concat4(df, Quarter<3>(df, m0), Quarter<3>(df, m1), Quarter<3>(df, m2), |
129 | | Quarter<3>(df, m3)), |
130 | | df, mem + 3 * Lanes(df)); |
131 | | #endif |
132 | 93.9M | } |
133 | | |
134 | | // Stores v0[0], v1[0], v2[0], v3[0], v4[0], v5[0], v6[0], v7[0], v0[1] ... to |
135 | | // mem, in this order. Mem must be aligned. |
136 | | template <class DF, class V> |
137 | | void StoreInterleaved(const DF df, V v0, V v1, V v2, V v3, V v4, V v5, V v6, |
138 | 86.2M | V v7, float* mem) { |
139 | 86.2M | #if HWY_TARGET == HWY_SCALAR |
140 | 86.2M | Store(v0, df, mem); |
141 | 86.2M | Store(v1, df, mem + 1); |
142 | 86.2M | Store(v2, df, mem + 2); |
143 | 86.2M | Store(v3, df, mem + 3); |
144 | 86.2M | Store(v4, df, mem + 4); |
145 | 86.2M | Store(v5, df, mem + 5); |
146 | 86.2M | Store(v6, df, mem + 6); |
147 | 86.2M | Store(v7, df, mem + 7); |
148 | | #elif !HWY_CAP_GE256 |
149 | | auto t0 = InterleaveLower(df, v0, v4); |
150 | | auto t1 = InterleaveLower(df, v1, v5); |
151 | | auto t2 = InterleaveLower(df, v2, v6); |
152 | | auto t3 = InterleaveLower(df, v3, v7); |
153 | | auto t4 = InterleaveUpper(df, v0, v4); |
154 | | auto t5 = InterleaveUpper(df, v1, v5); |
155 | | auto t6 = InterleaveUpper(df, v2, v6); |
156 | | auto t7 = InterleaveUpper(df, v3, v7); |
157 | | |
158 | | auto w0 = InterleaveLower(df, t0, t2); |
159 | | auto w1 = InterleaveLower(df, t1, t3); |
160 | | auto w2 = InterleaveUpper(df, t0, t2); |
161 | | auto w3 = InterleaveUpper(df, t1, t3); |
162 | | auto w4 = InterleaveLower(df, t4, t6); |
163 | | auto w5 = InterleaveLower(df, t5, t7); |
164 | | auto w6 = InterleaveUpper(df, t4, t6); |
165 | | auto w7 = InterleaveUpper(df, t5, t7); |
166 | | |
167 | | Store(InterleaveLower(df, w0, w1), df, mem); |
168 | | Store(InterleaveUpper(df, w0, w1), df, mem + Lanes(df)); |
169 | | Store(InterleaveLower(df, w2, w3), df, mem + 2 * Lanes(df)); |
170 | | Store(InterleaveUpper(df, w2, w3), df, mem + 3 * Lanes(df)); |
171 | | Store(InterleaveLower(df, w4, w5), df, mem + 4 * Lanes(df)); |
172 | | Store(InterleaveUpper(df, w4, w5), df, mem + 5 * Lanes(df)); |
173 | | Store(InterleaveLower(df, w6, w7), df, mem + 6 * Lanes(df)); |
174 | | Store(InterleaveUpper(df, w6, w7), df, mem + 7 * Lanes(df)); |
175 | | #elif !HWY_CAP_GE512 |
176 | | auto t0 = InterleaveLower(df, v0, v4); |
177 | | auto t1 = InterleaveLower(df, v1, v5); |
178 | | auto t2 = InterleaveLower(df, v2, v6); |
179 | | auto t3 = InterleaveLower(df, v3, v7); |
180 | | auto t4 = InterleaveUpper(df, v0, v4); |
181 | | auto t5 = InterleaveUpper(df, v1, v5); |
182 | | auto t6 = InterleaveUpper(df, v2, v6); |
183 | | auto t7 = InterleaveUpper(df, v3, v7); |
184 | | |
185 | | auto w0 = InterleaveLower(df, t0, t2); |
186 | | auto w1 = InterleaveLower(df, t1, t3); |
187 | | auto w2 = InterleaveUpper(df, t0, t2); |
188 | | auto w3 = InterleaveUpper(df, t1, t3); |
189 | | auto w4 = InterleaveLower(df, t4, t6); |
190 | | auto w5 = InterleaveLower(df, t5, t7); |
191 | | auto w6 = InterleaveUpper(df, t4, t6); |
192 | | auto w7 = InterleaveUpper(df, t5, t7); |
193 | | |
194 | | auto m0 = InterleaveLower(df, w0, w1); |
195 | | auto m1 = InterleaveUpper(df, w0, w1); |
196 | | auto m2 = InterleaveLower(df, w2, w3); |
197 | | auto m3 = InterleaveUpper(df, w2, w3); |
198 | | auto m4 = InterleaveLower(df, w4, w5); |
199 | | auto m5 = InterleaveUpper(df, w4, w5); |
200 | | auto m6 = InterleaveLower(df, w6, w7); |
201 | | auto m7 = InterleaveUpper(df, w6, w7); |
202 | | |
203 | | Store(ConcatLowerLower(df, m1, m0), df, mem); |
204 | | Store(ConcatLowerLower(df, m3, m2), df, mem + Lanes(df)); |
205 | | Store(ConcatLowerLower(df, m5, m4), df, mem + 2 * Lanes(df)); |
206 | | Store(ConcatLowerLower(df, m7, m6), df, mem + 3 * Lanes(df)); |
207 | | Store(ConcatUpperUpper(df, m1, m0), df, mem + 4 * Lanes(df)); |
208 | | Store(ConcatUpperUpper(df, m3, m2), df, mem + 5 * Lanes(df)); |
209 | | Store(ConcatUpperUpper(df, m5, m4), df, mem + 6 * Lanes(df)); |
210 | | Store(ConcatUpperUpper(df, m7, m6), df, mem + 7 * Lanes(df)); |
211 | | #else |
212 | | auto t0 = InterleaveLower(df, v0, v4); |
213 | | auto t1 = InterleaveLower(df, v1, v5); |
214 | | auto t2 = InterleaveLower(df, v2, v6); |
215 | | auto t3 = InterleaveLower(df, v3, v7); |
216 | | auto t4 = InterleaveUpper(df, v0, v4); |
217 | | auto t5 = InterleaveUpper(df, v1, v5); |
218 | | auto t6 = InterleaveUpper(df, v2, v6); |
219 | | auto t7 = InterleaveUpper(df, v3, v7); |
220 | | |
221 | | auto w0 = InterleaveLower(df, t0, t2); |
222 | | auto w1 = InterleaveLower(df, t1, t3); |
223 | | auto w2 = InterleaveUpper(df, t0, t2); |
224 | | auto w3 = InterleaveUpper(df, t1, t3); |
225 | | auto w4 = InterleaveLower(df, t4, t6); |
226 | | auto w5 = InterleaveLower(df, t5, t7); |
227 | | auto w6 = InterleaveUpper(df, t4, t6); |
228 | | auto w7 = InterleaveUpper(df, t5, t7); |
229 | | |
230 | | auto m0 = InterleaveLower(df, w0, w1); |
231 | | auto m1 = InterleaveUpper(df, w0, w1); |
232 | | auto m2 = InterleaveLower(df, w2, w3); |
233 | | auto m3 = InterleaveUpper(df, w2, w3); |
234 | | auto m4 = InterleaveLower(df, w4, w5); |
235 | | auto m5 = InterleaveUpper(df, w4, w5); |
236 | | auto m6 = InterleaveLower(df, w6, w7); |
237 | | auto m7 = InterleaveUpper(df, w6, w7); |
238 | | |
239 | | Store(Concat4(df, Quarter<0>(df, m0), Quarter<0>(df, m1), Quarter<0>(df, m2), |
240 | | Quarter<0>(df, m3)), |
241 | | df, mem); |
242 | | Store(Concat4(df, Quarter<0>(df, m4), Quarter<0>(df, m5), Quarter<0>(df, m6), |
243 | | Quarter<0>(df, m7)), |
244 | | df, mem + Lanes(df)); |
245 | | Store(Concat4(df, Quarter<1>(df, m0), Quarter<1>(df, m1), Quarter<1>(df, m2), |
246 | | Quarter<1>(df, m3)), |
247 | | df, mem + 2 * Lanes(df)); |
248 | | Store(Concat4(df, Quarter<1>(df, m4), Quarter<1>(df, m5), Quarter<1>(df, m6), |
249 | | Quarter<1>(df, m7)), |
250 | | df, mem + 3 * Lanes(df)); |
251 | | Store(Concat4(df, Quarter<2>(df, m0), Quarter<2>(df, m1), Quarter<2>(df, m2), |
252 | | Quarter<2>(df, m3)), |
253 | | df, mem + 4 * Lanes(df)); |
254 | | Store(Concat4(df, Quarter<2>(df, m4), Quarter<2>(df, m5), Quarter<2>(df, m6), |
255 | | Quarter<2>(df, m7)), |
256 | | df, mem + 5 * Lanes(df)); |
257 | | Store(Concat4(df, Quarter<3>(df, m0), Quarter<3>(df, m1), Quarter<3>(df, m2), |
258 | | Quarter<3>(df, m3)), |
259 | | df, mem + 6 * Lanes(df)); |
260 | | Store(Concat4(df, Quarter<3>(df, m4), Quarter<3>(df, m5), Quarter<3>(df, m6), |
261 | | Quarter<3>(df, m7)), |
262 | | df, mem + 7 * Lanes(df)); |
263 | | #endif |
264 | 86.2M | } |
265 | | |
266 | | #if HWY_CAP_GE256 |
267 | | JXL_INLINE void Transpose8x8Block(const int32_t* JXL_RESTRICT from, |
268 | | int32_t* JXL_RESTRICT to, size_t fromstride) { |
269 | | const HWY_CAPPED(int32_t, 8) d; |
270 | | auto i0 = Load(d, from); |
271 | | auto i1 = Load(d, from + 1 * fromstride); |
272 | | auto i2 = Load(d, from + 2 * fromstride); |
273 | | auto i3 = Load(d, from + 3 * fromstride); |
274 | | auto i4 = Load(d, from + 4 * fromstride); |
275 | | auto i5 = Load(d, from + 5 * fromstride); |
276 | | auto i6 = Load(d, from + 6 * fromstride); |
277 | | auto i7 = Load(d, from + 7 * fromstride); |
278 | | |
279 | | const auto q0 = InterleaveLower(d, i0, i2); |
280 | | const auto q1 = InterleaveLower(d, i1, i3); |
281 | | const auto q2 = InterleaveUpper(d, i0, i2); |
282 | | const auto q3 = InterleaveUpper(d, i1, i3); |
283 | | const auto q4 = InterleaveLower(d, i4, i6); |
284 | | const auto q5 = InterleaveLower(d, i5, i7); |
285 | | const auto q6 = InterleaveUpper(d, i4, i6); |
286 | | const auto q7 = InterleaveUpper(d, i5, i7); |
287 | | |
288 | | const auto r0 = InterleaveLower(d, q0, q1); |
289 | | const auto r1 = InterleaveUpper(d, q0, q1); |
290 | | const auto r2 = InterleaveLower(d, q2, q3); |
291 | | const auto r3 = InterleaveUpper(d, q2, q3); |
292 | | const auto r4 = InterleaveLower(d, q4, q5); |
293 | | const auto r5 = InterleaveUpper(d, q4, q5); |
294 | | const auto r6 = InterleaveLower(d, q6, q7); |
295 | | const auto r7 = InterleaveUpper(d, q6, q7); |
296 | | |
297 | | i0 = ConcatLowerLower(d, r4, r0); |
298 | | i1 = ConcatLowerLower(d, r5, r1); |
299 | | i2 = ConcatLowerLower(d, r6, r2); |
300 | | i3 = ConcatLowerLower(d, r7, r3); |
301 | | i4 = ConcatUpperUpper(d, r4, r0); |
302 | | i5 = ConcatUpperUpper(d, r5, r1); |
303 | | i6 = ConcatUpperUpper(d, r6, r2); |
304 | | i7 = ConcatUpperUpper(d, r7, r3); |
305 | | |
306 | | Store(i0, d, to); |
307 | | Store(i1, d, to + 1 * 8); |
308 | | Store(i2, d, to + 2 * 8); |
309 | | Store(i3, d, to + 3 * 8); |
310 | | Store(i4, d, to + 4 * 8); |
311 | | Store(i5, d, to + 5 * 8); |
312 | | Store(i6, d, to + 6 * 8); |
313 | | Store(i7, d, to + 7 * 8); |
314 | | } |
315 | | #elif HWY_TARGET != HWY_SCALAR |
316 | | JXL_INLINE void Transpose8x8Block(const int32_t* JXL_RESTRICT from, |
317 | | int32_t* JXL_RESTRICT to, size_t fromstride) { |
318 | | const HWY_CAPPED(int32_t, 4) d; |
319 | | for (size_t n = 0; n < 8; n += 4) { |
320 | | for (size_t m = 0; m < 8; m += 4) { |
321 | | auto p0 = Load(d, from + n * fromstride + m); |
322 | | auto p1 = Load(d, from + (n + 1) * fromstride + m); |
323 | | auto p2 = Load(d, from + (n + 2) * fromstride + m); |
324 | | auto p3 = Load(d, from + (n + 3) * fromstride + m); |
325 | | const auto q0 = InterleaveLower(d, p0, p2); |
326 | | const auto q1 = InterleaveLower(d, p1, p3); |
327 | | const auto q2 = InterleaveUpper(d, p0, p2); |
328 | | const auto q3 = InterleaveUpper(d, p1, p3); |
329 | | |
330 | | const auto r0 = InterleaveLower(d, q0, q1); |
331 | | const auto r1 = InterleaveUpper(d, q0, q1); |
332 | | const auto r2 = InterleaveLower(d, q2, q3); |
333 | | const auto r3 = InterleaveUpper(d, q2, q3); |
334 | | Store(r0, d, to + m * 8 + n); |
335 | | Store(r1, d, to + (1 + m) * 8 + n); |
336 | | Store(r2, d, to + (2 + m) * 8 + n); |
337 | | Store(r3, d, to + (3 + m) * 8 + n); |
338 | | } |
339 | | } |
340 | | } |
341 | | |
342 | | #endif |
343 | | |
344 | | // NOLINTNEXTLINE(google-readability-namespace-comments) |
345 | | } // namespace HWY_NAMESPACE |
346 | | } // namespace jxl |
347 | | HWY_AFTER_NAMESPACE(); |
348 | | |
349 | | #endif // LIB_JXL_SIMD_UTIL_INL_H_ |